{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from TX 5/13/24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  VA\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use va_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. VA has 8631393 peeps and is divided into 2465 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 11 11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 133 counties in VA .  I will assign them county Nos 0 - 132\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Building county geom for county 100\n",
      "Building county geom for county 120\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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tqHcW9IwBKLgbjr6He5Xzr/xVcXo6D15/A0N/fxznfIbC1LSmH4UgVJkYYREEQfiXOXtb4tPGgcv7o+ncuTOSJJX6WbNmDQYGBmzbto2Q6BjsD15k8ZWbFH+8kPd7BaIvlxO+7zgtvftx+ucVAISEhJRoAwCFruZ/sxLg0IfAH4tlN29G38ub2bNnI5PJSvz4+GjS9KelpfHmm2/i7e2NoaEhLi4uvPXWWyScOIFUWIjTgvnoubj865+f8GwSIyyCIAj/srzsQhIiM7FyNK5S+Qf5mhGU8xlKdGQy+tlZAHD9VCpqyYi5v/5Ou3btaFTRepRuH8HJD6F+Dwp1vKC4GON27eDGdRo2bMiRI0e0RXV0NF8N8fHxxMfHs2jRInx9fYmJieG1117j3rHjfO3oiK6DQ80+AEGoARGwCIIg/Msu7I4iP7eIfm81qVL5iFxNXpZLmTn0s7PAUlfzR3ex3JTNp7/hfk4Ep0+frrgR/xch8QzsnEyO5XRk+vqY9e4FN66jo6ODQxnBR6NGjdi6dav2d09PT+bOncuLI0ag+9prVXxbQagdYkpIEAThX1RcqOL2uQSadK2Lua1RleqY6SgAiMkvpJ+tufb6xlMruX3/NMeOHcPZ2bniRmQy6P8tyGQUX9iEwswMuaEhAOHh4Tg5OeHh4cGoUaOIjS0/d0tmZibGCgWGrm5V6rsg1BYRsAiCIPyLUh4oURWpqeNlWeU6vW3+DFI6W5khSRKTXnuNc3evseKtGbi7u1etIRNbGPAdOaFxGHrYAtC6dWvWrFnDgQMHWLFiBVFRUXTo0IHs7OzSfU9JYc6cOYxwc0fKF6c0C/8uMSUkCILwL7px7AFmNgY4eJpXXvgPunIZvzf1JKmgCEOFnDfeeINf1q1nQuAcfNrVIzExEdCcO2T4x6jJo63NERERgGZBrqmpKdYhYeSn6WHTpRUAvXv31j7Hz8+P1q1b4+rqyubNm5kwYYL2XlZWFn379sXX15dJqWmkb/wV+w8/rHGWXEGoLvFfmiAIwr9ArVJzYdc9wi8l4d/dBbm8eplh21uaMsTBCoAVK1agzMth6e5pNO7TH0dHRxwdHfntt9+05b///nv8/f155ZVXAOjYsSP+/v5s+WopBnYKTF6cXuZzLCws8PLy0gY6ANnZ2fTq1QtTU1O2b9+O8R8jOtEjRlIYE1Ot9xCEmhIBiyAIwr/gxKa7XN4XjWsjaxq006TTjwiNJTIsFkmSOLb7ArGRCVVqS5Ik9s/+hRUT9yGpirXbmMeNG6ctM3v27FJbpdUFBfQt1sO0bRNkOmUPsCuVSiIjI3H8I3ttVlYWPXr0QE9Pj127dmFgYIDrpl9xWbcWVXo6D958C0mtfrwPRxCqQEwJCYIg/MMSIjMJPRVP4y7OtBtSD4WOnMx0Jes3/wyATK2DJC/mxBVNoFEZdVExkQmaoAe5osr9yL98HHWxDKO2HbXX3nnnHfr164erqyvx8fF88sknKBQKRo4cqQ1WcnNzWb9+PVlZWWRlZQFg27w5jnM+I3bcS+SHhGDYpGo7ngShpkTAIgiC8A+SJIlz2yOwdjahw7D6yOQyiouKWbJ4KfwRa0jy4hLlKztI8NamXYAFjT3uV6sveWcOgUzCoN1z2msPHjxg5MiRpKamYmtrS/v27Tl//jy2trYcP36cCxcuAFCvXr0SbUVFReHasiUKa2uyDx8WAYvwjxMBiyAIwj8oKSqLhIhM+r7hh+yPdSs7Nx5BUhThXdefQSN7oauvw7KFP5Gen4AyKw9T8/K3O0uSxLVLEvbG8XSYPqrK/cg/sY3k1XswsNdBbl1He33Tpk3l1nmUhbciRs38yTl7rsr9EISaEmtYBEEQ/kHBh2MxNNWlbkMr7bX7D2KQSQqef6kfBkb6yOVy0vM161eS41MqbC8lLJLsQkuatDNDpqj63znTVnyNwkiG85JvavYi5TAfMoT80FAi+z5H2rpfKLh3r9IgRxBqQoywCIIg/EPCgxOIuJZIz5f9UCg0fz8MvxlDRmECrnYNkP+xJTg+NgkARbEhng0qPpvn6v5IQBf3Ts2r3A8pI4ns0GQse7RCt2nXmr1MOUw7d8b5+xVk7thJ0hdfAKBjb4/cxAQAo8FdcZwwrVafKTybRMAiCILwD1Cr1Wzb8yv5drmk59gB9gAEHT4JMhj64p/rSHKzNan3VTqVJ2OLCNccZqjzl2mdymT+8BnqQjlmL7xRjTeoOtPOnTHt3BlVxicoz5wh/+YtpIJ80jf+Sv6SCOL9LuDbaBGGhnX/kecLzwYxJSQIgvAPCAsLI684C5lcYt+x7az6ZhN5Ofkoc7OQSXJMzf88+LB+I1ftP0fdfVBhu7bGyfjY36lyP4qjQklafxQzfwcMmgVU/0WqQWFhgXnfvtjPeA/bGe+itpCT11JNTv49rlwdSXFx6ey5glBVImARBEGoZcXFxRw9ehRPT08+/OgDGrm34n7qHb5e+C3ZRQ8xN7QtVadlw04A/LZxS/ntFhQTn3SG/IKqBSxScREPxj+PTCHDfuHKmr1MDcVt/BJ5hhr3KUtp1XInxcXZ3Lw1hYLCitfoCEJ5qhWwrFixAj8/P8zMzDAzMyMgIID9+/dr70dGRjJo0CBsbW0xMzNj+PDhJCUlVdru8uXLcXNzw8DAgNatW3Px4sXqv4kgCMJ/hFKpJC0tDXt7e+QKOUPH9uGFYWOR/bGPWU/HoFSdvsO6AJBPZrnthp29jqooittREZxd+HqFCduk4iLSP32FvIRi6sx+Fx1nr8d8q6pTq1Rk/7KN4ubmWPv1xsDAiUaNlpKRcYkLF3pTVJT+r/VFeHpUK2BxdnZm/vz5XLlyhcuXL9O1a1cGDBjArVu3yMnJoUePHshkMoKCgjhz5gyFhYX069cPdQX/p/rtt9+YNm0an3zyCVevXqVJkyb07NmT5OTkx345QRCEJ8HCwoJGjRpx8eJF0tM1X85ejdyYPutNWjfqwgsvDSmznrzYAIVaE8yo1WqSohK4euAsB77fxOIXnufQ958gkxvStrUH5y7fJ2j2GM59+SobX+1N9KF1Jdq698YQkrZcwLKDJ8YDxv+zL/w3yXtXIY8vxObll7XXbKw706b1AYqK0khK2vuv9kd4OlRr0W2/fv1K/D537lxWrFjB+fPniYuLIzo6mmvXrmFmZgbA2rVrsbS0JCgoiMDAwDLbXLx4Ma+88govvfQSoDn/Yu/evfz888/MnDmzJu8kCILwxJmamqJSqVAo/sxEq6evS++hncqto1OUiSIlkW/GTqCoIA2koj/uyADNVuF2IybSekAghj+8z9GjN9CTp2Koo+LQuvWM8++Enq0rmQ/jCLuegydwxbg57ZNTMbez/ude9m9SV61CXV8fh84lA6WCwocAGBg4/Wt9EZ4eNd4lpFKp2LJlCzk5OQQEBBAZGYlMJkNfX19bxsDAALlczunTp8sMWAoLC7ly5QqzZs3SXpPL5QQGBnLuXPmJiAoKCigoKND+/ihVtCAIwn+BUqnk8uXLtG3bVvsXuMoc2PgL+tEhqPX0MXf0x8K+HTYuzjjWc6WOtxv6Rvolyjd99Qvq9b6DgY0zyqRY1sycztlvZ9DsnZUMWnKI1Lav8E7qeRof3k7E0V0k9RhE+5mTMbO1KqcHtSPtzC7kd7Iw+XwUMlnJQfzsrBBkMgXW1uUHbYJQnmoHLCEhIQQEBJCfn4+JiQnbt2/H19cXW1tbjI2NmTFjBl988QWSJDFz5kxUKhUJCWUf6JWSkoJKpcLe3r7EdXt7e27fvl1uH+bNm8enn35a3a4LgiD8K65fv45araZdu3ZVrpP5ULPeb8C7H+Hl17RKdUzqegNg4daAgA5NOHPyBpEr5nFP1YF9o83xbbaE+HsPuPDFEtz3b+HuoR0k9RhEh1mTMbOxrPZ7VUXS919T7CjHeWDp06D19GyQJBVK5R1MTX3/kecLT69q7xLy9vYmODiYCxcu8PrrrzN27FhCQ0OxtbVly5Yt7N69GxMTE8zNzcnIyKBZs2ba5Ei1ZdasWWRmZmp/7t+v3nkagiAIta2goIDdu3cTERFBSEgI3t7eGBmVn2L/7+Q6OhwIuUP7Ll0xNDTE09OTOXPmlMgam5SUxLhx43BycsLIyIhevXoRHh4OQItXZmNuKBEelkQ30/v4NmsPgJOHM4N+WoTt7r3cb9UF5/2budulG/ve/Zzs1Ixa/Qyywy7CpUSMRnZDoWNY6r6NTTd0dCy4fedDJElVq88Wnn7VjiT09PSoV68ezZs3Z968eTRp0oSlS5cC0KNHDyIjI0lOTiYlJYVffvmFuLg4PDw8ymzLxsYGhUJRaidRUlISDg4O5fZBX19fu1Pp0Y8gCMKTdOvWLa5cucL69etJTEykcePG1aq/6qefOBsZw8jAzoSFhbFgwQK+/PJLvv32W0BzhtDAgQO5d+8eO3fu5Nq1a7i6uhIYGEhOTg4KPX3Uvp2wzXvIpC6ldwTV8XRh0KqvsN65l/stOlFn72/c7tKNfTO+QJmWURsfAXHfzUVlAXVf/KTM+3K5LlaWAWRlXSc8Yj4qVeWJ8gThkcce+lCr1SXWk4AmELGwsCAoKIjk5GT69+9fZl09PT2aN2/O0aNHS7R39OhRAgL+2QRHgiAItSUzM5Ndu3aVuFa/fv1qtRGXlUOjOva8+eEnuLm5MXToUHr06KFN8xAeHs758+dZsWIFLVu2xNvbmxUrVpCXl8evv/4KQMLNELLtvWnWtvz0+871XRi0+musduzhQbMOOO/eSGjnbuybNQ9levlbqiuTHx+FOuguuoOaoWdU/gLfBg3moatrzf37P3P8RCOCjnlz8dIAUlNP1PjZwrOhWgHLrFmzOHnyJNHR0YSEhDBr1iyOHz/OqFGaE0NXr17N+fPniYyMZP369QwbNoypU6fi7e2tbaNbt24sW7ZM+/u0adP48ccfWbt2LWFhYbz++uvk5ORodw0JgiD81926dQuAcePG0bFjR4YNG4aOTvWWCHq7uxOelMqDxERAsw7m9OnT9O7dG0D7F0MDgz9zuMjlcvT19Tl9+jThkTEYF2Tg07ZqC1rrerkyaM0SLLbvJs6/Pc47NxDauRv7Z80nJ6P6GWkffD8bSVei7vhPOHnyJP369cPJyQmZTMaOHTu05XR0TGnf7jwH9ndm5IhU+vSOYtKkM/y66Q1GjRqJtbU1hoaG6OnpIZPJSvzMnz+/2v0Snh7V+n9UcnIyY8aMISEhAXNzc/z8/Dh48CDdu3cH4M6dO8yaNYu0tDTc3Nz44IMPmDp1aok2IiMjSUn5M9Ph888/z8OHD/n4449JTEykadOmHDhwoNRCXEEQhP+qsLAw6tWrh5ubG25ubjVqI8DNibQ4J7r26IVCoUClVjN37lztXwh9fHxwcXFh1qxZrFy5EmNjY77++msePHhAQkICaxcvwQw5gT27VOu5Lt7uuKxdSkzYPe7NW4LHjvXc3LeV1OeG0mbCCCzc6la6DrEoM42C3ZeQ9fLEyNaLnMuRNGnShPHjxzN48OBS5RcuXMiPP25l7dq1uLu78847bzHl7RMMHuzA/v37sbW1JSAggJEjRzJjxgxtPVNT02q9m/B0qVbAsmrVqgrvz58/v9IIODo6utS1yZMnM3ny5Op0RRAE4YlKSkrCwsJCu/B/2LBhj9VekbMHN5L28kIbf/w7dsaukT9TpkzBycmJsWPHoqury7Zt25gwYQJWVlYoFAoCAwPp3bs3Obl5WKSEU9yoKzaWNftSd23ggeu6b4i5Fcm9eV9TfOs836zLwwcZI2aXvSblkbjVnyMrUlNn4ocA9O7dWzsy9HeSJLFkyRI+/PBDBgwYAEDDhv4cOXKCli0MaNWqFaAZSXJ1da1wPaPwbBFnCQmCIFTT9evXWbFiBUePHuWtt97im2++oUWLFmXu7Nm2bRs9evTA2toamUxGcHBwmW0uX7WaN994A38XJ1p16MTo0aOZOnUq8+bN05Zp3rw5wcHBZGRkkJCQwIEDB0hKSiIvIY4CHSOGvzTqsd/NtaEnA9cv43KTFgDcRuLg0m9KlfvrtI/71K857CzH3P3PtYeSJPHxxx8DMHz4cAIDAwkPDycqKorExMQSubn279+PQi7nvRn7sLK0wt/fH6VSyfz587G2tsbf35+FCxdSXFz82O8n/P8SAYsgCEI1xMfHs337dkCTzXvXrl28++67Ze7sAcjJyaF9+/YsWLCgwnZzc3OJCb2JJJPTpINmHYpCoSjzaBNzc3NsbW0JDw/n2rVgmjpY0vOd2Xg4185UekqmEgNZES5NO2ClUnE+NaVUP3JycmjSpAmfDtUs8DXvXjIT+pdffsk333yj/WdjY2N69uxJTEwMQIlp/4iICIpVmvYXTpzN66+/TmZmJuPGjePYsWNMnDiRL774gvfee69W3k/4/1TjTLeCIAjPonPnzqGrq0tRURHXrl2jefPmzJgxA7lcjpubG7/++muJA1xHjx4NlD0d/ld9evdm27atmA54jrT0DI4GHWPx4sWMH/9nevstW7Zga2uLi4sLISEhvP3223h51sfF3ZvmTRvU2jteDr0HgJeHG0aqpuwKCSHh4kXqtGmjLdO7d2969exJaGBzAMw92jBv3jy2bdtGWFgYeXl5NGjQgMzMTNzc3Fi3bh329vbs27cPAD8/P3Jzc3FwcEClUmFsLCcnR03dDDMCx47m5s2bnDhxgvnz5+Pn54eenh4TJ05k3rx5JTKqC88OMcIiCIJQRWq1mqioKO3Ox7p16xITE0NERARQemdPdYwdMhA/Zwe2HD9NgwYNeOedd5g4cSJz5szRlklISGD06NH4+Pjw1ltvMXr0aJ5v4UehuQMymax2XhK4GnqXIhS09nXDp2tXDPLzOfpHoPFXD/etQx6fD4BMJuPEiRNMmjSJ33//HbVajaWlJptufn4+5ubmtG7dmg0bNgDw9ddfs3LL1zxM1uThUsg0QYhUpCZz7z2863kRGxurfVbr1q0pLi6uNPATnl5ihEUQBKEKJEliz549KJVKAgICsLW1ZcKECSxfvhwfHx/Nzh6VqsTOnuq4f+MaA1o1Y+q6LeXuynnrrbd46623Slz7/O3pGCaGEn0/Hre6j3+ooCRJZMRHoTB1RFdHga6lJa1sbDipVHL5t99o8fzz2rIpP62kuJ4u3NH8fuDAAQDOnj0LwIoVK2jcuDGRkZGAZhro9OnTmJubs/rkD5zadh7Umoy3WUpNEjmT9s7kXErkm9WLiU+KLxWI2dnZPfY7Cv+fxAiLIAhCFVy/fp2rV6/SvXt36tSpQ6dOnThz5gwbNmxg48aNXL16lbVr17Jo0SLWrl1b7fbTwsOgqKBaR5kc2HMIw0RNtCDpGFRSumq+33IQI1UOzZr5a6+1nTgRvaIi9oSFsWTGDPLz8kg/dxDZ7QxMR5dODJqbmwvA5cuXAU1iveDgYHJzc7G1tcXR0ZHjq85QlFmEcUszzWHUf7hLHCvSdhGeFE09D0/Onz/PsmXLsLa2ZsSIEdpRG+HZI0ZYBEEQKiFJEhcvXqR+/folDjR89913mTlzJiNGjACgcePGxMTEMG/ePMaOHVu9hxQVVrmoMiePxe++h3FqFADG3V/E3bF2TmG+FxmBzMCWYV2aa68ZmJoyafwEVi37lgxzcx5cuEDR6kUUO8ioO3gmMLdEG8nJyQDaBKALFy5k4cKF2NvbM3DgQMLDwzUH3Koh40QGoJlSkiSJ8ePHY2xsjJGuAdHR0XTu3Bl3d3emT5/OtGnTauUdhf9PYoRFEAShEg8fPiQ+Ph5/f/8S13Nzc0uNiJS3s6ciCdGawEOuq1el8vM/notxahS5tp4MW/gDr708olrPq4isQImZZengx9zTg1GvvApAVlgIXHiA/ogO6OialCo7cuRIjIyMsLS05P6F3Ug/9yZzQVMyMtKJiooiM1NzBEC3sX5YdbVCpi+j50RbAHx9fbl9+za9vTthpGuIiYExKpWK2NhYlEplrb2n8P9HjLAIgiBU4u7du+jq6pY6H6hfv37MnTsXFxcXGjZsyLVr10rt7ElLSyM2Npb4+HhAkxEcwMHBQZsUbfd3S5B09Ri3ZGWlfbl+KxzLB8FcM/Pjl2/n1upi24KiYgykfKytyj4L6FEgdu/4KVxM1Eh+Q7R5ZaKioggODsbKyoovv/wSHR0dVIV5XP16OOkWcj46VoCdvopDhw5x8+ZNXnnlFYqj9biybid9B7Yn+sRDAJRKJc7OzvR7eSi9T3bEra4rWZ2NeP/99+nduzfnzp1DoVDU2jsL/z9EwCIIwjMrIymX3OxCnOpZVFguMjISFxcXdHV1S1z/9ttv+eijj3jjjTdITk7GycmJiRMnahOmAezatavE2WiPpo8++eQTZs+ezb1bIWTHROLRtTeWNrYV9kOtUnHws+kogDBTH67GptPctXamggBik9ORy8DAyLjM+wYW5gAUyHUI83dgXLue2nuPpmt8fHzIysri0qVLrH+lMa/uLiKjSIf2LZqw3D+U/pvykMvl/PLLL4wfPx53V3dkMhkmxprP9lEANnryeOISTqPvYY7tQD/8/Pzw9PTk+PHjdOvWrdbeWfj/IaaEBEF4Zm1deIXti66SnphTbpni4mLu37+Ph4dHqXumpqYsWbKEmJgY8vLyiIyM5PPPP0dP78+pnXHjxiFJUqmf2bNnAxC0YQ2Srh69XhxXaX9v341CgZps366k6lkzf//tar9zRX7ZuhcAXzdHgFKHGAb9sfsn3NsLh/6BrFmzku7du2NlpQmahg0bRkJCAhs3bsTMzIw3hnTBw1JGQWERR89eof8mzU6grl27kpqays8//8zcuXORJIkfF0xjaCNd6hvnUDivK6oFLTHSPQI6mq8pDw8PbGxstFvIhWePCFgEQXgmSWqJwlxNqvegdbdRq6Uyy8XFxVFcXFzjQw0rkhgbQ8a9u9Rt2RYj47JHNf5qz4+aKaMpU17B3caYyzHpFBSpaq0/+emak6Jb+LgCf2azXb58OQAKPT0C7DVrVs5dUXHt2tESWXy3bNlCZmYmnTt3xtHREce3D3LugZpOrgoSppuQMN2EM8cP07JlS/r164efnx+//fYb69atI/D+dxwOL2KYhxK9gisoCqOxUixB306z4+jBgwekpqbi6OhYa+8r/H8RU0KCIDyTUh4oUaslWvZ149K+aG4E3adpoEupcrdv38bY2Pgf+aI88PN3IJPTa/RLlRcGCpPvo3ZrhoW5KRM7ejBzWwjeHx3g2kfdsTSu2oLdikiGFoSH32TgwIFcuXKFhIQEtm/fzsCBA7Vlcuw92L9mNiEhEeTl5XHt2jUsLCwAuHbtGk2bNv2zPUnC2tyYEzF5nE82ZODqeBwUOuzqFMjBgweRJAlvb29uHP6WbquV1He346WmeSgLJT5N68OQ4q3Ye27k0tFs3nvvPerVq0fPnj0Rnk1ihEUQhGfSuR2R6BooaBrogl9nZy7svEdGUm6JMpIkERoaSoMGDaqVH6UqMu7fJjkmBh2KybywrdLyx4+dxbBIia2HDwAjWrnQyk2Tk+SlNZfKrDNv3jxatmyJqakpdnZ2DBw4ULvo95HIyEgGDRqEra0t386ezqmDu6jjXFc7qvJ3OTk59O07lAEDOlba5yVLliDTNQRgzI58GjVpyqxZs8jNzSUzM5NJkybh4+PDxJkraO+iYO/OTfB8EMUdV3IjMp7+v+bhPX4ZEyZMoHnz5pw6dUqk5X+GiYBFEIRnjqpITfzdDJr3ckXPUIc2Az0xMtcj6JcwpL9MDSUkJJCZmYmvr2+t9+HQtnXI6zjgaCHj9zU7uLBgPFJRQbnlw26GAjB0aF/ttc2vtSXAw5rg+xl8d6z02o5HqfLPnz/P4cOHKSoqokePHuTkaNbs5OTk0KNHD836lKAg1v6+B0MjI44EHWPAgAFl9mP06NF8/PHHdOmi2eIdHLybwsK8UuWCg4P56quvmDlzJgBz5sxh1qxZ/PLLL7z44osMHz6cyMhICgoKuLOqL4sHGGPj0RpcbLDoNZKDh4+QPMuOwlPfEh0dzQ8//FDiwETh2SMCFkEQnjl5ykJUxWqs62jWY+jqK+g6ugEJEZmEnHigLXfr1i0MDQ1xdXWt1ecnRVwnNF2Pro0dGbZsBy1b1ef01WSur/ms3DqZaWnk6Ftga21e4vrqcS0B+PLgHV5ff6XEvQMHDjBu3DgaNmxIkyZNWLNmDbGxsVy5oil35swZoqOjWbNmDY0bN2ZYr850HjSayPA7BAUFVfgOnTq9CMD583F8951mbU1RkSZwyc3N5YUXXmD58uW8++67ALi6ujJq1CjWrVvH9u3bten6AYoNDNErUiP/3BHdxU3I/9KO9BPTNTelstcWCc8eEbAIgvBMSbyXybaFVwEwtzXUXq/jbUnjTnU4tz2SzIe5SJLErVu38PX1rfW8H6f3/Ya5TEmTfq8hV+jQYfoSvOroce74FWKOrC+zTl5CLGqT0mnpDfQUBDbQnK+z/2YiuQXF5T73UcK2R7t6CgoKkMlk2mkWuVyGVR0PZGgOMqyKDN0MsnSzAHjwQBMITZ06lbZt25Y5StO6dWuAErt9DOoPAiDXzJT0di9QZGKJ5bGfoDgP9EsnphOeTSJgEQThmXJ2WwSF+cW0H14fC3ujEvfaDPLE0FSPY7/cJiE+gYyMjFqfDsq4f5tbaQra1LNBYfTnaEmXqfOwMFHw+4+b2D51WImRhbMXgjFLj8azXdcy2/xpbEtauGqCmfjM0tMzoEn6NmXKFNq1a0ejRo0AaNOmDcbGxsyYMYPc3FxycnK4eXIvkqTm2s2wCt9DX1+zq+my7WXO2J8B4HDwCXbt2kVQUBBLliwps96jRHN/XcRsXG8wzM7EaNoDLLuvwOS1UO29PFnu35sQnlEiYBEE4Zkik8mwdzenSde6pbLE6hno0HW0D3F3Mzh9+DL6+vq1Ph10audaDCiiWf9XS1w3qevNiOU7aeBhzr34PIrS4gDYt/co+75dSJ7CkOHDniu3XR9HUwA+2xNa5v1JkyZx8+ZNNm3apL1ma2vLli1b2L17NyYmJpibm2OqK2Hn6ERKajqgyWDr5KQ5BXrQoEHIZDJkMhnu7u4A5EbnEr9ek8V3xdzfef754URERGBhYYFCodAuVh48eDCNGjVizJgxdOzYET8/v3LfRSZXkPvuNa42NiO/bqPyP0zhmSICFkEQnik5mQWYWJS/BdjZx4qGHZwIjwjHta47Ojq1l/0hN+U+11PktPEwR9+0dIZamY4OXi1bAbBj7wk++2I5Yeu+Rk8m0XLCNPT1dEvVeaRRHc1oTRcvu1L3Jk+ezJ49ezh27BjOzs4l7vXo0YPIyEiSk5NJSUlh44YNKJU5GBloPqNp06aRkJBQok737t21/5ywOgHl9T/O+FFBfn4BZmZmdOnShYMHD9KsWTNAc8aSUqlkyJAh7N69u7KPCjUq0i31tLuMBEHkYREE4ZmRFp9DZnIeAQM9KyzXdnA9zs6DuKhk1Gp1rW1pPrZtNQrUNO8zutwyln6dmDt6Fumb95a8sf5X3njjjRLbjSVJok+fPhw4cICB7ywGhReGeooS99988022b9/O8ePHtaMiZbGxsQFg79695GZnYmtpBsDixYvp0qULVlZWuLi4kJaWxptvvomDCSQq4cMPbDmuY8ZDSx10LXR5PrkX3m6tePHFF9m/fz+XL19GJpOxZcuWEvlcKiOpiwCQy8oP0oRnixhhEQThmXHrVBwGJrq4NbapsJyeoQ6B3bqTo0pj96YjtfLspNCzXI4vpqObLsY2zuWWm7LpEm4vzuPNGV/w1vTZREXHcvjwYUCT+v6vlixZop3WalLXAoDvT/y5+2bSpEmsX7+ejRs3YmpqSmJiIomJieTl/bnOZfXq1Zw/f57IyEjWr1/PyJEjAdi8eTOgGWHx9/fXno+0bds2Nm7cSOIfgyqfz33I6U8jSTuWhkKtoDjHmD171mBmZvZYo1OSpFk8LBMBi/AHMcIiCMIzQZIkom6kUK+5HQrdyv+u1qqTH9euXCf4zgVaxDShjmv1coBIajVBa77Aw6cx1p7+/LJlB1YKNa1HfFpunb17t3NK6UQ3j2S+mfG29vqSr7/C09OTTp06aa89ynNy+fJlHB0daepiCfGQkJmvLbNixQoAOnfuXOI5q1evZty4cYDm9OhZs2aRlpaGm5sbs2fPZurUqUz7ciUGqlzmvT+tRF0zMzMUchmxU4xxaD2AO42ccdmxjlPNhpGQaEhYbi47d57h5ZfH/vlZ1GBrslrSjLDIZOLv1YKGCFgEQXgmZCbnkZ2aj2sj6yrXGTl+MEu//obf1m9jyqyJ1ZoaSrpziVOxxZyKvQZcQxddXnlxGDoG5Z8Z9MHpQkCP2WN6aa8VFhayfv16pk2bph1N+WueEwcHhxJtFBSrScjIw9HCsEqBwvz585k/f36p68XGDuinBHMvLhmPOn+ui1m1ahW96ylwMpVD6G4a/LHGt1e9fmS1bUXnbzpga2tLl67uqNXFyOU1+5rRUWgWERcXZ9eovvD0EaGrIAjPhPiIDJCBU32LKtcxszCmc7vuZBUlcXDbqWo9L/zCQXQopourJshozTXM3ZuWWz41PYMMyYTlAdnU/cuW3x07dpCRkaEdEYHy85zo/3GycVZ+UbX6WpahXVuglmDfmWvaazExMRw5coSXezYpWThgMtl2rejVqxfm5hY8//zzXLqYwaJFHxEefrxGz5dQAyCTiykhQUMELIIgPBPSE3IwszZAz6B6f+Pv0KMFtsZ1uXTjNMlxaVWqo1apuBGbQX0LNZ1e+oTpvevR5bXFFda5ExoMgE997xLXV61aRe/evbVbiyvKc/L5QM0W4He33KhSPyvSydeZbB0LEmLuaa+tXr0aOzs7+rb/y5bkTzLICphBj5490dPTY8eObdq1K7m5+mzYcJy7d0+gVlftVGm1upCw2+8TFfUNAPr6Ih2/oCECFkEQngnpSblYOpY/HVOREWOHgAx+XbutStMskef28FBtRpuAdgCYtn4RhYNPhXXu3IsCwKXen4nqtCMaL7+svRYUFERkZCQWFhbo6Ohog4MhQ4aw/J3RNK1rwY24TPp+c4qCIhW5OWUnkqsKu7ruyHOSycnLR61Ws3r1asaOHYtO/6+1ZbKys7XnE61atYq8vCKcnfPQ0UmhTRtNMruNG4/x8+rnq/TMW6HTiY//jYcPD+Lk9DwG+g6VVxKeCTKpJquh/mOysrIwNzcnMzMTMzOzJ90dQRD+g7YtuoKptQHdX2pYo/pH95zh1OXDdPDvRbcBbcotFxcXxwsDenI5NBK1BPXq1WP16tW0aNFCWyYsLIwZM2Zw4sQJiouL8fX1ZfKbr/NJqD0rWibTe8hLAMyePZuVK1dy//59bWCSmJhISkpKiWc2btyYpUuX0q9fP1xdXXnu2zOEJmRp7yskFdv61qFJx+bVeuezt6I5tGUNTTv1wagog549e3Lnzh28vLzgwRXQN+X4rXi6dOlSZv1Ll45x6NABCgsNAGjVyoo+fd6q4LP7ldt3PsTN9XU8PKaJBbfPgOp8f4tFt4IgPBOMLfRJupdVecFydO3blps3QzhzJYimrX2wdrAoVSY9PZ127dpiY2nGgqkv0vfl9wkPD8fS8s8zgCIjI2nfvj0TJkzg008/xczMjFu3btGmTRvWhh/iTHQWvaHkiMZftgc7ODiUWmgL4OLios2zsu/tDry88jRHojLRUxVRqNBlyZYLrK5mwBLg68o2DAm+GcrsN8eVHF1y1rTVubNXhaNOzZt3QpIktm79nIsX07C3/53mzYeWKpefH094xDzsbHvj4TG9VBZiQRDhqyAIzwRrJxPyc2q+GFUmkzFy3DAkmYqNq8ueGlqwYAF25kY8N2AI/YePxt3dnR49euDp+Weiug8++IA+ffrw5Zdf4u/vj6enJ/3798fOzg59uYr7uZoMs0eOHCE2Npbx48dXu69FBYUkhEXgkJ/Jxfc6YVOYzTFjVxJjEiqv/Ld3NrKrS0FqHGq1utr9eNSGXC5nyJAPsLfP48CBKxQXF5YqF3t/NXK5Pg0azBPBilAmEbAIgvBMSE/KKXE6c03YOVjTpllHUgtiObbnYqn7u3btoq6NKdu2bKJF96H4+/vz448/au+r1Wr27t2Ll5cXPXv2xM7OjtatW7Njxw6KCgu5U2CFl6UmU22PHj2QJEkz/VIJSZJKZJGdv/A3wvSs+LqvJxa2lhj98Se9qrhqC1//qrlfQ/Qp4syNu9Wu+1dyuYLA7s9RVKTP0aNrS91PSzuFrU0gOjqmj/Uc4eklAhZBEJ5qOZkFHF0Tyt0LSVjXMXns9nr074iFgQOnLx0lNSmjxL179+6x6+RV6jtZcvDgQV5//XXeeust1q7VfEEnJyejVCqZP38+vXr14tChQwwaNIjBgwdz9tw5HBVZSOrix+rfyX1nWJ1twUTLLAK6twbASaEZ0Xjr670VVS37fVv5UiDpcOZKyGP1C6B+vQ64uedw+XIUeXmZ2utqdRE5OeGYm/s/9jOEp5cIWARBeKodWR3K7fOJyBUyPPxtH7s9mUzGC2OHIcnUpaaG1Go1Dg6OfPjGC/j7+/Pqq6/yyiuv8P3332vvAwwYMICpU6fStGlTZs6cyXPPPcf333+PgyKbxIKa5x1JS0xl+uH7NC58yPR3Rmivf/lSBxwLMrhm7ER2RvXW8Rjq6SKZOZAWH1Pjfv1Vzx5jKS7W4djxNdprarUmO69C5/EDSuHpJQIWQRCeWoX5xcRHZBAwyJPxC9tXeoZQVdk5WhPQrCOp+bEc33tBe93WyhxbW1ucfVtprzVo0IDY2FhAc8Cgjo4Ovr6+Jdp7VCZLMsBYUf1pG9AEQ9MW7SRPrsO3r3VFR/fPhbouPu4s6OWJWiYn/Hr1p3Z8fLwxUim5G5tYo779laNjI+ztC7gXGfeXvpde0yIIfycCFkEQnlqxt9JQF0vUa26HvlHtZkzt3r8DFvoOnLoYRGqSZnqjvosDGanJ2NT7cwvz3bt3cXV1BUBPT4+WLVty586dEm3dvXuXOk6ORBZZ41+nZms4Vq/cwXEdez5taoKLt1up+3svahLAmZlXv/0+7fxRSTIOnb1WeeEqKCoqRldXT/u7SpWLTKZHbs69CmoJzzoRsAiC8NSKDU3F0sEIM5vHW2xbFplMxgvjhiGh5ofFG1Cr1TTxb07sgwTmLVhAREQEGzdu5IcffmDSpEnaeu+++y6//fYbP/74IxERESxbtozdu3dTYG6LGjn+zVpWuy+hV8P4MlLGAFkyQ0b3KrOMj71muuXM+VvVbt/OwoR8AytioyKqXffvCgqUpKUZ4eJqT15eHGG3P+Dcec1iW3PzZo/dvvD0EgGLIAhPJUmSuB+ahotv1Q87rC47R2vq2TajwDCZjSt+wdLRjR/nvMWvv/5Ko0aNmDNnDkuWLGHUqFHaOoMGDeL777/nyy+/pHHjxvz0008smDmMwQ6aZHD5xtVLRZ+XncNb6y5iX5zD3Bml85s8Mvbl5wDYEFazXDR13TzRz0/jYaayRvUfUSqVSJICSX2Zc+e7kJx8AE+PabRrexwrq7aP1bbwdBMBiyAITyVlegHK9ALqeFv8o895YXJvzHUdiXgYhQIVY9+dT0hICPn5+YSFhfHKK6+UqjN+/HjCw8PJy8vj4OHtTNfZxxCdk6Av5919odV6/vsvfUq0rgVLhzbExKL86Z7EuIcAGFGzNTLd2/qjkEnsOxNco/qP6OlpRruUOdHUqfMC7doex9V1IgqF0WO1Kzz9RMAiCMJTKS0+B6BWtjJXRCaT0a9jM1DLaWxljVxXv1r1713ZCkDW6+cIaO7E3Yg0LsVnVKnu8QPn2V6vE68mnsO/fcVbglX5+cjVKprYVq9/jzRwdSRXYcLt27drVP+RlBTNAZK2Nl3xqv+JyLsiVJkIWARB+FdlJCaw95uFpCfEVV74MaTGKdHVV2BqZVBuGTc3N2QyWamfR2tOEhMTGT16NA4ODhgbG9OsWTO2bt1aqp38uzexS25F3/Evl7pXkSKVGrubG7ns1BUnew++7t4ADBS8t7fyUZaiYhWfHL5Ho9xEpq+eW2l5fQN9ZEBGZm61+vhXlo6ukJlIfmExklpNxPwOMNuctLvnq1RfkiR27NhB3brOdOz4ochoK1SLCFgEQfhXhQQd5PaZE6yfNYW7F878Y89JuZ+NTV0TZPLyvxQvXbpEQkKC9ufw4cMADBs2DIAxY8Zw584ddu3aRUhICIMHD2b48OFcu1Zyt0xidB62JhnomlRvNCf87ik8lZHot9ZMGzkY6tG5ZR3uRaZz9n56hXU3/36SGF1zPurqhkJHUemzzp6+gUquYOxz1TtP6K/aNm+MvqyYw5dukXzhd+rl3wDAamNPkk//Uml9pVJJZmYmAQFtUSgq77Mg/JUIWARB+Fc9uB2KSyM/3Jq2YPfieRxf9yOq4sfL7lqWpOgsbJwrnm6wtbXVHibo4ODAnj178PT0pFOnTgCcPXuWN998k1atWuHh4cGHH36IhYUFV65c+bMRSSIh3RIHp+offK+bkwSAoVMT7bXF3XyQGyiYUcFalsJiFcsvJdEhJ4ZWA7pW6Vn+/vXRURVzLLjmCeA6NPGiAF2uBIcgPz6XZIUjodaaXUl2RyaTG3+nwvqJiZo8LmUd3igIlREBiyAI/6r4O6G4NGrKc2+/R5dxE7l2YC+bP51F6oP7tfaM7LR8slLysXOt+vqIwsJC1q9fz/jx47VTFW3btuW3334jLS0NtVrNpk2byM/Pp3Pnztp6uYkJZBXb4+BhXu1+qg01iewKsx9qr1kZ6NKjlTOxURkExaSWWW/jxiDidU2xUF6nVatWmJqaYmdnx8CBA0vleJk4cSKenp74+PvyYPmLLPxmTo3XocjlcvSs6tD44R5sC6LJ6/gRDSZtJHXMSQCMfmiFuqig3PqJiYno6+uXOL1aEKpKBCyCIPxrUuM0QYmkViOTyWjWux/Pz56PMj2Nde+9SUxIcK08J+JKMgpdOR5Nq56Kf8eOHWRkZDBu3Djttc2bN1NUVIS1tTX6+vpMnDiR7du3U69evT/f6Y4mN4mtt0u1+likUpF4XbMeRqYq+SX/ZTdvFIYKZpUxypJfWMR311PpkhtLeEIMkyZN4vz58xw+fJiioiJ69OhBTk6Otnzz5s1ZvXo1YWFhTHnrE7LkenTp3AWVqma7hZr61qcrZ7hn0BiXji8gkyuw9mhCdH3NqdJpi8rOIyNJErdv38bR0VGsXRFqRAQsgiD8a9L+GEXxC/wzuZmTlw8vLV6BSyM/di6aS77y8fJ8AEReTaZuAyv0DHUqL/yHVatW0bt3b5ycnLTXPvroIzIyMjhy5AiXL19m2rRpDB8+nJCQPw8CzIp9gAw1Ju71q9XHq5vfotPd9ZxxH4yPZ8kveXN9XfoHuJAYk8X+qIcl7v2y7hAPdYyZOqgZBw4cYNy4cTRs2JAmTZqwZs0aYmNjS0xZvfrqq3Ts2BE3NzemvT0Oiw6jSUxKJDo6ulr9fcQq5RyWZKHoM79E4OH6wmLu63piUxBDwql1pepdv36duLg4AgICavRcQRABiyAI/xplumaKw8C05FSNjp4ePV+fQnFhAbfPnnysZ6Qn5pAUlYV366qvk4iJieHIkSO8/PKfu3wiIyNZtmwZP//8M926daNJkyZ88skntGjRguXLl2vLpT7IwsIgDR2Dqm8XzivIpVHEVs40fJl2Y1cjk5f+o3huZ80oy/QNV/nk45/Jy8kjP7+QlaFKAgvj8OvSulSdzEzNEQFWVlZlPtfYzJC64QfQMbcnI67iRb1lyc/Px+P2j9ww7YirX/sS92QyGXZvaRYtF9/cVapufHw8NjY2eHt7V/u5ggDVDFhWrFiBn58fZmZmmJmZERAQwP79+7X3q7oF8K9mz55dakuhj49Pzd5GEIT/tMK8PHT1DZBRekrAxNIKz+atCD6457GeEXU9BYWOHNfGVc9wu3r1auzs7Ojbt6/2Wm6uZvuv/G/BhEKh0J66DPAwRR8bq/LXbfxdakYS6gUeGKvycGkzvtxyxnoKnvO3I1dZzNpCexrMCeLD+ZtJ0zVi6tBWpcqr1WqmTJlCu3btaNSoUYl73333HSYmJpiYmJCScIc6w2YzZF8S0WFRVe43QPCub6gjJWHV58My7+ubWnPfsi11kw6Tc7dk4JmYmIidnV21nicIf1WtgMXZ2Zn58+dz5coVLl++TNeuXRkwYAC3bmnOpqjqFsC/a9iwYYmthadPn675GwmC8J+lb2xCcWEhecrsMu/7duhK6oNYMpOTavyMhMhMHDzN0dWr2rZZtVrN6tWrGTt2LDo6f04h+fj4UK9ePSZOnMjFixeJjIzkq6++4vDhwwwcOBCA/IfJJOU6U8ez6llaUx5cx1idxwMjZ+rWbVhh2S8DfTGpp8BIR3Oa8e/5lgTm38e3XekzdyZNmsTNmzfZtGlTqXujRo3i2rVrnDhxgoa+DdA/vgSpuJC1v1f9z9rC3Czqhy7nsnl3nBuUHt15xLD7+wAYb+yHMvQIAHl5edy/fx93d/cqP08Q/q5aAUu/fv3o06cP9evXx8vLi7lz52JiYsL585qkQVXaAlgGHR2dElsLbWxq5wh4QRD+W7JSkpEkNUn3yj5Er24jP2QyOTEhNT8VODkmCwd3szLvnTx5kn79+uHk5IRMJmPHjh0cOXKE2NhYxo8fz7Zt2+jRowfW1tbo6emxaNEibG1t6devH35+fqxbt44ff/yRvXv3Ym1tjXVdV344NAfDBm5V7l8BmkAqu8+SSssaGBnwnr2ctG7uvGqTRse8B3z8Ru9S5SZPnsyePXs4duwYzs7Ope6bm5tTv359OnbsyO+//86D+Pv4hO3lYEbVT7AO3foFJpISm36fVljOxrcD97xfA8Bk8xBiVr7AlTUz8ZVu4+XlVeXnCcLf1XgNi0qlYtOmTeTk5GgXUVVlC2BZwsPDcXJywsPDg1GjRhEbG1th+YKCArKyskr8CILw31ZcWMilnb8D4OxT9siCgbEJDvW9iLles4ClqFBFbmYhptZlZ7fNycmhSZMmJdag9OjRA0mS8PLyIicnh/bt27NgwQIAXF1d2bp1K0lJSeTk5HD9+nUuX77M7t272bJlCz99OJ/MnBQGDx9R5T4WJmu2FLt6dahS+Rd6dcH9YSLn6liybulEnL3/HKWQJInJkyezfft2goKCqjSCIUkSkiThaKZLvK4p6irsFspIjqN+5Gou2AzBo75vpeU9Ri4gf9o94gx8cE3YS/ukNQxjH+bm1d/6LQiPVDtgCQkJwcTEBH19fV577TW2b9+Or6/mP+CqbAH8u9atW7NmzRoOHDjAihUriIqKokOHDmRnlz1kDDBv3jzMzc21P3Xr1q3uawiC8C87+/tGAAbN+ARdgwrS5fv5E3MzGLW6+ttu5QrN2pjystv27t2bzz//nEGDBpV5f/To0Xz88ccEBgaWeT8zM5NVq1axePFiunbtyoj33+KL8eO5HhnBO4OWsX3GeiSp4gRyBen3eahriZFe+Z/BX+no6vKOiYJLDs4cuRxc4t6kSZNYv349GzduxNTUlMTERBITE8nLywPg3r17zJs3jytXrhAbG8vZs2cZNmwYhoaGDOqnWa+zY2vli5xvb/6IQpWMnVHGuLu7Y2hoiKenJ3PmzCnxvuPGjdOuRTQ0t8F51kW6/KaZZsur07685gWhaqRqKigokMLDw6XLly9LM2fOlGxsbKRbt25JkiRJkydPllq1aiUdOXJECg4OlmbPni2Zm5tLN27cqHL76enpkpmZmfTTTz+VWyY/P1/KzMzU/ty/f18CpMzMzOq+jiAI/5L1s6ZI69+fWmm5B7dDpUXD+0rxd29X+xm3zydIyyYelZKiK/+zAJC2b99e5r1z585JgHTgwIES148ePSoBUnp6eonrjlbW0uCA16VlE49KqqLiCp978repUu6nNtKHH30sASV+vL29teU6depU6r5TYB9JrVaXeIeyflavXi1JkiTFxcVJvXv3luzs7CRdXV3J2dlZeuGFF6Tbt29LKpVK6vL2Wsl1xh6puLCo3P6GhwVLhR9bSq8P7SxZW1tLe/bskaKioqQtW7ZIJiYm0tKlS7Vlx44dK/Xq1UtKSEjQ/qQdWSKpP7WSpNy0Cj8X4dmUmZlZ5e/vqicp+IOenp52xKR58+ZcunSJpUuX8t5777Fs2TJu3rxJw4aa4d4mTZpw6tQpli9fzvfff1+l9i0sLPDy8iIiouw5bgB9fX309Wt24qggCE+GMj0Ne4/Kc5U41vNCz9CImBvXcKxf9S2wkiRx6WgYBqYK7FzLXsNSVTExmvT1YWFh9OzZU3s9MTERPT09LCwsSpR39vTA1lmzZTv2wB7cnhtQbtumicGE2rREkSyjYcOGHDlyRHvvr4t+AV555RU+++wzAIKOnWaKqQO7LlxlQBvNeUBSJaM5Tk5O7Nu3r9z73WzgnhLSklOxrWNfZhnl5tfIkFsQrTRgwIAB2p1Ubm5u/Prrr1y8eLFEeX19/ZKp98/fAfuGYCiy2wqP57HzsKjVagoKCqq8BbAySqWSyMhIHB0dH7drgiD8hxTm5aKjW/kiT7lCgUujJkTfqN46lnPnzhGXFkl+tooLhys/7bgiDx9qkrXdvn2btLS0KtUxc3PFSj+Ba6fKn87Oyc3EN/06+yw025Ir23BgZGSkvTfy+cG0Sk1mQXw6qkoClarq10ez2+fssatl3r9+4GeaqkNJqD+K9h06cPToUe7evau5d/06p0+fpnfvkouAjx8/jp2dHd7e3rz++uukRgaDg1+t9Fd4tlUrYJk1axYnT54kOjqakJAQZs2axfHjxxk1alSVtgACdOvWjWXLlml/f+eddzhx4gTR0dGcPXuWQYMGoVAoGDlyZK29pCAIT55zg0ZkJidWqaxbE38Swm9TkJtTeWE0f3G6fv06Do31UFjmcGlbHFFh8TXqZ0xMjHaEVyaTldjl6ODgQGFhIRkZGSXqJCUl4ejoiEIuEZ/pxNXVO1EVl16Dc/fOSfSkYg6a+1OsVle64WDDhg3Y2NjQqFEj3v/gA962MeaepQ2/Hj9bo3f7OxcXOwyL8tlxPaHMv1gqoo4D4DVoFjNnzmTEiBH4+Pigq6uLv78/U6ZMYdSoUdryvXr1Yt26dRw9epQFCxZw4sQJen97A5VO9U6xFoSyVCtgSU5OZsyYMXh7e9OtWzcuXbrEwYMH6d69O7q6uuzbt6/UFsC1a9fSp08fbRuRkZGkpKRof3/w4AEjR47E29ub4cOHY21tzfnz57G1rfoZIIIg/Pc5eTUgPbFqQYS7fwtkcjkbPphepZGWa9eukZSUhJmZKSPf6wx6hexbcYOM1PJHO8pSVFTE6tWrtb9LksSZM2dIStLkhWnevDm6urocPXpUW+bOnTvExsYSEBBA/w964GV9i3MXTPn9vc1k3Isu0X727UMARBi6oKznW+GGgxdeeIH169dz7NgxZs2axS+//MKKVSvpeD+ShVlF5JYREFWXhY0lE+0LOKawJ/le6cMnC8zcNJ9LcRGbN29mw4YNbNy4katXr7J27VoWLVrE2rVrteVHjBhB//79ady4MQMHDmTPnj1cisnh+M3aO9hSeHZVaw3LqlWrKrxfv379SjPb/v38irKSHAmC8PRRFReDpAkCKjv8zszGjhe/+Jqjq79n69yP8Grdjk5jXsbMpuy/yFy+fBmALl26YG5hynOTmrJ7yU1++/I04z/vjq6u5o86pVJZYn1cVFQUwcHBWFlZ4eLiwo0bN0hMTKROnToA2NjYkJiYyJUrV+jTpw/m5uZMmDCBadOmYWVlhZmZGW+++SYBAQG0adMGgMBPJ+Jz9CjHd0ns+voyo79xRSaTUVCQQ8c76wg19QKZDIuA9gyrr8mZ4ufnR+vWrXF1dWXz5s1MmDCBV199VdvPxo0b4+joSLdu3dg8YhRvmlmw4NBJPu3TpYb/Nv7UoL4TXMghv6j0CMv9fAOaA1KBknfffVc7yvKoTzExMcybN4+xY8eW2baHhwc2xgoiEjLp9tg9FZ514iwhQRD+FTp6egDaYGX+fM3heVOmTClVVpIkRk98nRGzF6DXpA1xd0JZPe01Lu78HVVxUYmyFy9eJCEhgeeff167GNbNqw6thjpRlKnLb18f05a9fPky/v7++Pv7AzBt2jT8/f35+OOPAdi/fz8rV67U/j537lxWrlzJzz//rG3j66+/5rnnnmPIkCF07NgRBwcHtm3bpr0v09Gjbs/edAyUyC6yIu5CMADRERcASO8yG4DM4pIBQmUbDlq31qw3MTE1wicpnpWGlqRnPH4OKl0dTSK7zMzSh046mWu2XqsURuTm5lZ7jeKDBw9IzVXhaCPyrwiPr9q7hARBEGoiMfIuRhaanSKXLl1i5cqV+PmVvRhzyZIl2sCmrm8jek+ZxrnfN3B60zpuHj9Ct5dew9WvKZIkcfjwYVxdXWnQoEGJNlp3bUxybAax54vYv/EcvV8IoHPnzhXurJk+fToAnTt3pn17Td6QTZs2UVT0Z5BkYGDA8uXLSySfK4tT+w5wMIKda9Kx/W09bnonydK3onGDznA+HOXfErY92nAwevToMtsLDg4GoE6dOrTMjOY2UFxUWGEfqqJNJ3+MThzknd+u8Vl2Lj/vvkyKwoi3A+tjoK8JNAzJo1+/fsydOxcXFxcaNmzItWvXWLx4MePHj9f2/9NPP2XIkCE4ODgQGRnJe++9Rz1rXXq2alBRFwShSsQIiyAI/7iMxAQiLp3Hr2sPlEolo0aN4scff8TSsvRW1+DgYL766qsSoxr6RkZ0HvMKYxZ8g7G5Bb/P/ZBdX33B9k2/UlRUhJlZ2duYnxvbHhOXIiJP5nD11O1K+2loaIiRkRFKpZKoqCh27NjB7du3a5ShVdfWhQ4BaXjaRWFmWsilzBHsLXqXYoUmJcP5RV+Uu+EgMjKSOXPmcOXKFaKjo9m1axdjxoyhY8eO+Pn5YagqBuCFoxeq3a+/MzIzYUmABeH61ow8msJhIzciZMaMP5nO+QvnADAwtebbb79l6NChvPHGGzRo0IB33nmHiRMnMmfOHEAz2nLjxg369++Pl5cXEyZMoHnz5px6yxN9WVFFXRCEKhEjLIIg/OPunDuFQleXJj378vIrr9K3b18CAwP5/PPPS5TLzc3lhRdeYPny5SVzefzBxsWN4Z/M4/bp4+xb9hUqw+vYt+5Mp06dynyuTCZj5PSurPrwMGd+jcG2jgV1PUq3+0hmZiZZWVmcP39ee0Zao0aN6Nq1a43e22/sUPyArJxC7r57mvRG7Tj/x9SLYVoKI0eOJDU1FVtbW9q3b6/dcJCfn8+RI0dYsmQJOTk51K1blyFDhvDhh5pTkt/s150frkQSYl+HnLx8jA2rljW3PN0Hd8Xu/O/4ZMXx6bSB1HFzYu6iLRjm5ZIqmWOto4+pqT5LlixhyZIlZbZhaGjIwYMHS99YPxSSbj5W/wQBRMAiCMK/4M65U3g0bcHWbdu5evUqly5dKrPc1KlTadu2LQMGlJ94TSaT4d2uE/uWfYWuTMbrr79e4bP19HV5/t12bJxzjl3fXGXMp50wNTcus+zfNwV8+OGHpZK51cTe0/eRq6FdJzcS0UxJvbb8B8bXLXsRcd26dTlx4kS57dmamTKuSMkaXRM2nrvCK13bPVb/ZDIZxz7ui4GuAoWBZgTo0w9GceudnzHQfcxppzrN4PLqysv9zdHULL6OTuQrHxe8jR8vIBOeDmJKSBCEf5QyLZWHMVEYu3jw9ttvs2HDBgzKOEto165dBAUFlfs3+L+Sy+WYeXihysslK73yxG5Wdub0fNUXqUCXXxceR1XOgX/p6enaf+7Zs2etBCs3o9NJ2x7DQ3s9/OqY0fKPYOnXxKolpCvPvG6aQ2fDc/IrLVuYk8uaZVtIjU8ucb0gL5/+U1czasZa9Az0tMHKI27Ozhjp5VF4cX/NO2rnCznJkJNSedk/FKslZt19wOWsXOZG1iyfjvD0EQGLIAj/qDvnTiNX6JBSpCY5OZlmzZqho6ODjo4OJ06c4JtvvkFHR4fDhw8TGRmJhYWF9j7AkCFDSp34nqtUkp2UgExSk52RXsZTS6vf2AX/fvYUpRiyednRMss0aNAADw8PmjRpQqNGjR7rvR8JDtWk7O//UkNkMhlWero0NDHgljKvxm2q1WrabNIEEVZ5FSfXKy4sYuCHm5n9wIiuX51g6DtraTd9E5/O+5W1P+zihr4dZ2Q2PP/u2hL11Go1cf6voipUUHT4mxr3Fbs/TndOulXlKntTMojNL+RlZxsOpWYR9hiflfD0EAGLIAj/qOToSMzt7On93HOEhIQQHBys/WnRogWjRo0iODiYDz74gBs3bpS4D5ptxH9N5gaw9duvkHKykZma41DXtcp9adfHD6emuqSF6XB46/lS9+3t7RkzZgyDBg3C1NS0Ru+7YsUK/Pz8MDMzw8zMjPdfH8SFjCs0d9MsME5MTOTOJzNIGhKIsbExzZo1qzR/VVlinJxRqIp5b+hzFZa7czWMUH3N1FOuXJc7khFxuqb8kmbEFwma0R7nwgyuGjgw5eN1HD5wiB6B3TExs8K7c3t+vq2PlJeqbU+SJD7++GMcHR0xNDQkMDCQ8PBw7f3jx49rT2yWyWTI7LyRfZqFzLNzuVOBADnFKmLyCjifoeSbmCTaWZjwsacTVroKVj2o+uiM8PQSa1gEQfhHGVtakZWSjImJSalRC2NjY6ytrbXXy1po6+Ligru7e4lryWE3MfXwYvycBSiqOW0z4JV2rJ1zhDtHsrCvewe/VlU/YLEqnJ2dmT9/PvXr12f7yWiOLl/Dxt/fZ8atPjRs2JAxY8aQGZeIzdwlnOvZlo0bNzJ8+HBtjpiqeJCs+QJfWJhRKjfKI0UFhezaeZr152MwkplxYnpHzK3MUKvUpKdkUJSeTsdNUQAMcpCTmJvG9lxzrvywn7RsPUx6TCJv+xck6VoSLy/E6492v/zyS7755hvWrl2Lu7s7H330ET179iQ0NBQDAwPatm1LQkJCib58NLItR28m0KJFizL7eiw1i5E37ml/15XJ2NXMBT25HBcDfXKrcR6d8PQSIyyCIPwjkqPvseGDaVza+Tt2bh6VZretqttXL0NBHkbmlujoVH6Y4t/JFXJGvtsZhaGaE+siSXiQXHmlaujXrx99+vShfv36FEca0PG51zE1NdXuOjp79iytR49D5tOI0/pmfPjhh1hYWJQ4s6hSf6zBKe8zXbpoE/U/Ocz0q3mkqxR83toKWydb9Az0MTA2xNHVEZemvuzo70ygLJUh/QNYOHs0coUO970CyenyBlOaa3KnXFA3wEseRXz0HSRJYsmSJXz44YcMGDBAewRLfHw8O3bsAEBPT6/EgY7W1tbsvJ7CS41lyIoLyuzv1zGaow8Crc3Y1rQeh1p44W9mBIAaCWOF+KoSRMAiCMI/5PqhfSRG3MXc3oG2w18ss8zx48crXGQrSVKJw1MB9i9dAPqG9Bj9Uo37ZmCsx+BprZBJOmz9+gK5Obk1bqs80Q+yMU3JJ6bwErm5OQQEaBbJtm3bFv1TR5GyMlkSlcCmTZvIz88vtU6nInWdHHDKSOX7HFWpRHiffbaWr1M001nDjLM4tmQ0g4eXncK/adsm/DRvDG4+bgAU/tHUB55q3pk+DICe7TpSJCmQr+nNwffakJiYSGBgoLYNc3NzWrduzblz58p8xpfz3iY1I5uXmipIjNNsb36U5fiNt95mfXwqFzNzWGRriGzhJwxuUI8W9jbaqTK1BIpaCnaF/28iYBEE4R+RFv8Ar9btePmbn3Dzq9pUR2Viw++izs/D2b8FdnWcH6ste2cruo7zghxD1i88Uu7OoZoICQmhgZcDU37qxa/fzWb79u34+moWn27evJni4mKSB3bmWudmTJw4ke3bt1OvXr0qty+Tyeiam8Udazs27DqgvX7iyGV+zrXBulDJp64FLPxoZJVHtlRqTbRS19KQV17ph94fO4bq1HVCV6bCgVTM0jQBh729fYm69vb2JCaWPok7Jy+LM7/8SE9PHfY0eJ7PMk04d+EiS1d8j3E9b9bGpfDOnfsMtLNg3bQ3uXPnDrt27SIkJITBgwczfPhwsu+Eoq4gO7Hw7BABiyAIte7WiaM8CLuJay0FKo8c/kWT/bZlr4oXmlaVb0s3GvWwoSjRhN9XHqmVNgGSVZa8MfYnpg9azpiXXmHs2LGEhoYC8NFHH5GRkcGbG7Zg9f16vEePZ/jw4YSEhFTrGV8Mew6brAy+yZehVqt5cOM2H+y5TYO8JC7OH8zY1wdXq72Tdx8CYGtacmuz6o/1I9mSIdlopmmUGSlk3A0n7W5khW0GHVjNwchihvXriOOAhfwel0aHocPIf3MmBubmdLIy5XRrH75v6MbZs2d58803adWqFR4eHtqpsoywmxSoRcAiiIBFEIRaVlRYwKlf1+LgWZ+GnQMrr1BFxcXFpEWFI8kVOLpUfWdQZToPbopdA10e3lAQtKv0zqHqung3hes/3cXBwJHmr3Vn+dJFNGnShKVLlxIZGcmyZcv4+eef+eaFoTg3aEjskLHUadyk0rOJ/iouLo4xY8YQOmYgl8cMwMfbh/FfbiRToc/i0W2Y8OorJXfqyGT06tWrwjaXHdMcuvjz2JYlruvq6RM17BDK8ScwHaXZ+nzmi8/ZsPg+vy6OYe3k33kQGVnmgun9hy5ibSgjcNp3DLCzpNX65XTp2Ztfx46kkYkhXsYG1DPS5ORp27Ytv/32G2lpaajVajZt2kRefj6pDZrQ0dKkyp+N8PQSAYsgCLVq4/vTyElPo8+b71R7B09Frpw5hbywAI/uz2FoXLtfYEMmt8PQRuLW/kxuXbuLWlXzXSmHtkdQpK/gtbnteL67J6DJaVJQUEBurmatzKOdPct9NYFXRH4RGYVVO28nPT2ddu3aEZ+Wjs2r83B86Tsym43mlrELrcigQQvN1FOvXr1ISEjQ/vz666/ltpmQmcfVmHR8Hc2wMNYrdd+9YWscXb0J6NIbG1N99kSYYWuUiKvFPR7m6nP5eoh2jc4jkiSxc/s+RjXRx9zMik2bNhETcoPdy5bQy7b02UybN2+mqKgIa2tr9PX1mThxIlNXrUOnjgudrMo+K0p4toiARRCEWpVyPwYAS8c6tdruw4g7SDIZnfuVn7a/puQKOSPe64BCH46vfMB3k49wOzi6Wm2o1WpW7rzNyU3fEGN8j9TkOEJCQpg1axbHjx9n1KhR+Pj4UK9ePSZOnMjFixdxTEumY9BOCq+cRxZQ9nlIf7dgwQLq1q3Lx4uXYqRwQdfCAUP3ZrQw0mF4uz/Xwejr65fYrVPWQZOPTN98HQmYN7gxSqWyRB6cqKgogoODiY2NRSaTMfT50ey7uomjofcw6eXLniufYGZkQ/e2HUu0GRQURHxSBs+1cyEzM7/CLMfw51TZkSNHuHz5MtOmTWPxq+MpuheOjlhzKwBIT4HMzEwJkDIzM590VwThmbd7yQLpx8njJbVaXWttFhcVSYtGDZIWjR5Sa22WJSE6Vfrpk/3StxMPS8ve3isVFxdXqV7sQ6X02fyz0rKJR6XmbfpLdV1cJT09PcnW1lbq1q2bdOjQIW3Zu3fvSoMHD5bs7OwkIyMjycnHVzKbOUcaejW8Ss9q0KCBNGXKFMm7U09JbmQu1fVuKC375tsSZcaOHSuZm5tLtra2kpeXl/Taa69JKSkpZbZ3Py1Hcp2xR+q15IQkSZJ07NgxCSj1M3bsWEmSJEmtVkt92o2VTA0tJV1dPalzuwDpo+fXSLe37SvR7siRI6W2dRVS0Mqh0vbt2yVAUigU2h9AkslkkkKhkCIiIiRAunnzZok22nbuIpn0Gyq9HRpTpc9G+P9Tne9vkThOEIRa5dmiNXfOniT+Thh1fHxrpc2QC+egqBA9G/vKCz8GB1crJszuxdVTYZzbkMD+Ded4bkz7SuutW38Lq6g8kuvoc2nFjgp35tSvX79EZtsdSWm8FhrLqQwlarW63ERwj4RH3uPO8u8waT6A+pMWMdVTxZQpUzAxM2Xs2LGAZjpo8ODBuLu7ExkZyfvvv0/v3r05d+4cCoWiRHvTN18HYNGwJgB07ty51Fbpv5LJZCz66SuClowhyVLBZ/M6sfy1IO5cvov3oD/LbVz7M8zdy+F63enWslupRcUvvfQSPj4+zJgxo9RU2SMmerr4mRiwPTmdT+s5Ya4rvrKeZeLfviAItco7oD1Bq1YQExJcawHL3csXkGRyXln4ba20Vxn/9j5cPxFD9DkVcR0fUset7FOVAaTiYgwilSQ00OW9V1tVO0HeQHsrpt25T65K4pXQGJIKiqijo8PKJh6lyoamKikuVqHvUA/LTmP5bXpHmtiacuvWLb7//nttwDJixAhtncaNG+Pn54enpyfHjx+nW7du2nsxqTlciEqjUR0zGjqVXldSHhdXzZoS+3QV86cewxTQz0nm7q0reDVsDkBqZiLWgJGxFaamphVmOS4qKtJOlS1atAhra2t27NjB4cOHWfjLBsKvnOCH2Ju8OWxIuVNKwtNPrGERBKFWyWQyDMz0SU+4X2ttSpIEMjAwMqq1Nisik8kYMqk9kqKYPSsuV7gItzA7G4MiOGeux+wzuykorPz05L9b3Uhz9MDeh5lcjUrn4K9hTD4cWqLMr6Hx9Fl4AoWJJbo2Lgzv7kkTW02CuAYNGhAbG1tu+x4eHtjY2BAREVHi+rQ/RlcW/zG6UlVGBjqkeWvOITLN04zGWOvcIy1ombZMzANN/93s3CptT1dXl3379mFra0u/fv20GXQ/XLSYhLh4HLLSyIkM5+jRsg+tFJ4NImARBKFWBV9/BWV6EhFXzqBWFddKm3Z1XZGp1UTeulkr7VWFmaUJLQbUoThTn/0bLpRbriC3AFAzMvwCv8ucGXZkH0mJ4eWWL0snKzOOtfBGVwaKmGwA9hyN4stLUdoyH+/UnHasX8cXO3kaX3bz0d67e/curq7lb/V+8OABqampODo6aq/de6jkclQK+sFb6BnQBENDQzw9PZkzZ065U0KvvfYaMpmMpUuX8tHU1vSc4Y9OMyvse9chz8uWJil7SEmKA0BhoBmFyUkoO7/M37McP5oqS0pKIicnhx0nTiHPysAkN5sGzw2gdevWXL9+nfz86geEwtNBBCyCINSa+w9+IS3tOHU7J1Ccr2b/qrdrpV0dPc1WW1290ltu/0kB3f0wdikk6pyS+xElM7lKkkTM4SB+mRMKyPG1MmWbmy4xOpZ0vpHAnot7qvWsBqaG7PB2R/6wADNrzbSHMqdI+6ziQk0m3k3L5xB7M5gvvviCiIgINm7cyA8//MCkSZM0dZRK3n33Xc6fP090dDRHjx5lwIAB1KtXj549e2qfN33zdbIubOXhpd0sW7aMsLAwFixYwJdffsm335aeetu+fTvnz5/HyclJe62euyUTX23K0AHeePV8GRUK8ld04cTKaZjd0wRbXoemoC4uJF1ZwFfH7zLrwC1ylGWfKfRXl+5rAh+VkzPPt/CnXbt2FBcXc+PGjWp9rsLTQwQsgiDUCqXyLnfvzgagzwsHadijAbePxnB040eP3fbN40eQdPVw9qxa+no3N7dSidNkMpn2S706Br/RHnSK2bvyWompobu7j7Lnj7Wz+jIlzcb0pYWnP0Ft/WkrpfByjjNvHthEljKjys/67NhdZLpyPhugWe9xPCKFUw/ScPtwP1Keik6t6tCvSwe2b9/Or7/+SqNGjZgzZw5Llixh1KhRACgUCm7cuEH//v3x8vJiwoQJNG/enFOnTqGvr8liezcxi2v3M9BPi2DQwIH07dsXNzc3hg4dSo8ePbh48WKJfsXFxfHmm2+yYcMGdHXLPnDS3tWbjDFHsSaDTgmrcL84WXtv2r7TNLoQykIpl9X6RXheCuNwSHyFn0VBkSZYmzhIs43dzMwMJycn4uLiqvx5Ck8XEbAIgvDYJElNaNh76OnZ0L7deQz0Heg5/ks82zsSvPMaxzd/UuO2T+zeQe6DaNwDOpa7g+bkyZP069cPJycnZDIZn376qTZhWmxsLMOHDwfg559/xsnJiTFjxhAf/+cX5vHjx8sMcGQyGXfCw2g1uC6qbH32rtMc8JeTmMSFw+noy7J5ZW4jxs5vj4GtHQDWJhb81GMQS40T2a9woeuZS5wNPVXpe6bnFXI99CHe3tYM9LKnQVM7YiPSGb3sHDKVhLubBWsGadaaPPfcc4SEhJCfn09YWBivvPKKth1DQ0MOHjxIcnIyhYWFREdH88MPP5Q4/2f6Fs0oxZj+3Tl69Ch3794F4Pr165w+fZrevXtry6rVakaPHs27775Lw4YNK3wHZ8+GhPfey+yiMYSpOlLQayuL3D9kk4klKrkM31yJPnmaf4dnkjIrbCuvsBAAU/0/jwowMjIiJyen0s9SeDqJgEUQhMeWkLCV7OwQGjdajr6+ZkeNTCaj/6TvcQ9w4MrWKxz6ZSrFRZVPBTwSHx3FrUsXuLz1V9S6+vR56dVyy+bk5NCkyZ/p7c3NzbUJ08zMzDh37hz29vZcu3aNbdu2cefOHfr376+t37Zt2xJZYRMSEnj55Zdxd3enRYsWtOrSCFO3ImIu5hFzN4HgjYfILzZi6DQf9Kzt0DW3KtEfmUzG8616EdTYHme1ksFJprx3aBPZOeV/SX9xKhKpWGJWZ80o0srnGmHhollUa+VkzLHX2lV7B1JZbsVlEhKXSSs3S+bP+ZgRI0bg4+ODrq4u/v7+TJkyRTtaA5pEdTo6Orz11ltVan/t2QJ2qXrjOmMr+m0CGdLnNXT+WBITZgj7DNV0zIGJzSo+XqHwj8y/+n+ZBkxPT8fMTGS9fVaJbc2CIDyW4uJsIiIX4mA/AAuLFiXuyeUKBr71A7tkbxGyJ5ywI4NwauRAo4598GoxAIWi7OmFiNBb7PhsFjJJMwXToPdADCvYIdS7d+8SowJ/ZWhoSG5uLtOmTcPHR7NQddmyZbRq1YrY2FhcXFzQ09MrcRZOUVERO3fu5M0339QGCUMmdeDn94+z95sQpOI6+NeLxqJ+3wo/GxcHT7b1cGPt+d18rnLh8OkrLKijR49GJXO7SJLE7ssPsKhjQmdnTfDjYmJI8BsdSVTmY65fe39Uv7Plj51Bzzdl8+bNbNiwgY0bN9KwYUOCg4OZMmUKTk5OjB07litXrrB06VKuXr1apWApMT6b3UmZvFbPHiMTTaDhbmvKL06OfBaVSH8zUxYWZtPT3hJHq4p3fD2aEvrrFJSjoyP379fe7jPh/4sYYREEocYkSeL8+Z4UFaXi6flOmWXkcjkD317G4I8n49aqDkl3E9i3eA3LXx7AtiWvcOviWtRqVYk6wUcOIJPU2DRuholbfdr0qjgwqMiOHTvIyMhg3Lhx2muZmZnIZDIsLCzKrLNr1y5SU1N56aWXtNeMTY1oM8QFqVgTPDQf37/Mun8nVyh4qd1ATjR2oIHqIWMemvDGoa2k/2Vty2+hCeRnFTImoPSog4OJAYa1lDAtODadsMRs2tezxtnSiHfffZeZM2cyYsQIGjduzOjRo5k6dSrz5s0D4NSpUyQnJ+Pi4oKOjg46OjrExMQwffp03NzcSrX/4/ZbKICXBpecOurSwIFjfZoytX097AohIj230r4WFRWhlslKJLrz9fXl4cOHFW7hFp5eYoRFEIQay86+SUFhEm5ukzEwcKqwrHvDXrg37IVaXUx48C5undjDgxsPiDq3hSDTDTR9riPtB3xAdno60WdPoLC248VZn5TKzFpdq1atonfv3trdLfn5+bw9eRp9ug0od3ph1apV9OzZE2dn5xLXW3ZuxJWDy9CXydC36lqtfjjbe7Chpyu/X9jJh8V2nDl7jUVOOnRv1IHlZ6KQG+vwlr9LzV6yit75/QYy4KvhTQHIzc0ttS5IoVCgVmtGtkaPHk1gYMkTt3v27Mno0aNLBHMAmWl5bL6fxrC61lhaGZb5/OhkJYn6MlZTiO7hMD4N9Cl35KaoqAi1vOS/+3r16uHg4MDatWtp0qQJffv2fez/PoT/H2KERRCEGikuzibs9iz09Gxwd3uzyvXkch28mw1m8NSfmfTjTjq80gIzR10u/nqeLV+O4djvG5BJapr36vfYX0YxMTEcOXKEl19+mfTEHK4FRdM1oDdZqXl0rjuepOisUnUePHjAwYMHmTBhQql7kiSRaxCLg0tCjfojUygY1nYwJ5rUoWFxMqMfmjJ647fERmXQrrE9uop/7o/kC/dSiUhW0tnbFnszzbbpfv36MXfuXPbu3Ut0dDTbt29n8eLFDBqkybH/KBPtX390dXVxcHDA29u7RPu/bLtFLhKvDi5/YW5QRLL2n3/QKSAouPydQsUqFeq/BVM6OjraXU9ffPEFderUwdDQkLZt23Lp0iVtuW3bttGjRw+sra2RyWTagxyF/28iYBEEoUaio1egVIbh5fUJcnnNBmsVCj1aBc5m7Jy9tB7ZngfBaUQcPYhMX59WgT0eu4+rV6/Gzs6O7l178vuiS4yb8CKxsbFM7vslhnrG3AgqvR5i9erVWFtbl1iU+0hy2HmyJCPqe3mXulcdDnYebOg5lMXJmwlSNUMmQXudtArP8HlcM7eFIJP9eWYQwLfffsvQoUN54403aNCgAe+88w4TJ05kzpw51Wq7QFnIuohk+tiZ4+xoWm65Fg7mGBdLKNQSRiqJ2fHJ2vwyf1dcUADy0gGrrq4ua9euJSEhgeeee46TJ0/So0cPAgMDtVuec3JyaN++PQsWLKjWewj/bWJKSBCEGlGp8zE0cMHerk+ttNd+4EyU0i1iT9/HvUMAUTGH8fJ6jqIiJQYGFtVuT61Ws3r1asaOHcu9Gw9ZtvVDCvTS2Lf3AB7edVk76yyq4pIp9yVJYvXq1YwZM6bMfCMRlw6jQzGubYfU9DW1ZAoFLzz/BU2i7vDp/VDmnXbi8u1f+PKVgVia1+5OmFPhD4lKyaGHrz3WJn9uEzY1NWXJkiUlMs5WJjo6utS1LTvCSEbi9f4Vnx3l52HNNQdTMvOLSMwuoN+9WL49E4G/owW+tqbYWWsW4oY/TEU37AY5ljal2sjLy2Pr1q38/vvvREdHc+XKFcaOHcvu3btZvnw5b731Fr1798bc3FzkbHnKiIBFEIQaURVn136jRrF49n1AUdFG4hPyiU+Yjlotp1XLE5ibl79GRqlUljgnJyoqipUrVxIbG8vo0aN5dcw4HqSFE3TyEHb2pmTnp6MwLyAnO69EO0FBQURFRfHyyy+X+Zzo5CxcjUDXoPbONGro7s3mmfU4sH0NMy+Z0PfLPXw7yJ3mLQJq7RnvbwtBLoMFQ/xqrc1HivKK+eFWPB0tjPGtZ1VpeTMjPcyM9KhrZcyEu4ks0MmDhDysYuL50a0OCaoMLkQ/wBjNydF/V1xcjEqlwtTUlGHDhvH777+zdu1alEolmzdvRu+PbdAKhQJzc82BjkFBQRgYGODt7V0rW8OFJ0MELIIg1JCMvPza262Rl5cNUoq2bbW6J3L5QeRyNfHxlzE3L39XzuXLl+nSpYv292nTpgEwduxYjI2NOXs1CICmTZuWqDdvyk9AK+3vq1atom3bttrtz3+Xkq/Ax7r671YpuYJeQybg1/Qmb647y/O/JzPj5ipeHj0OWTnreHJyCzl86j6BHVwwMSp7ezjA0bAk7qfn8ZyfI5bGtX+0wdadYcRKapZWMrpSls+6+mB7OhIzCdaplAz5I5mfvo4JLwH5D2KhSclTnk1NTQkICGDOnDls3LiRN954g3nz5hEeHo6joyNjxoyhuLiYxMRE7bqWu3fvkpWVhampKR4eHri5uWnX4wj/P8QaFkEQqk2SJDIyLuHoMLjW2lSpckEmQ61W4OT0Id0Dv0NXpy9FRfq4unapsG7nzp2RJKnUz5o1a3Bzc+ODMctp26yL9vC/7du3s+6DM7Rv1xGA2bNn4+Pjw86dOwkNDSUwMJALF0oeeJicnMyqLfsYMn0pFhYWTJgwAaVSWWvvD+Dk2YhNH4xlglsac2878Mr8lWSkJJUok51TSER8FuO+PsuUY7dp9NkhImIyAHj4MFe7w+eRtzZdQyGDeYMa12pfAYoLVHx34wHtzY3w97Wrdn2FQs6UTvUZ37k+r1pbaq6pVRTo6lGg0CH7YXKZ9X755RckSdIuut2zZw8vvPACZmZmeHh44OXlRceOHRkyRDN1N3r0aAYPHkyjRo1ITExk586dzJ07V+R0+T8jAhZBEKotK/sGefmx2NmVnaxNpVLx0Ucf4e7uXqVTgAFMTOzp2uUSXbuE4td4BGp1Mbl5JygqaoqRUfkLOavCxE4HSz1nlixeCkBudgFZKfnYuWra9fLyYtmyZYSEhHD69Gnc3Nzo0aMHDx8+1LYxcsTzJCc/5JcFU9izZw8nT57k1VfLz75bU7p6+sx67SVW9dDjstKGvosPc/XSGQCOXXhA4zmHCfzmFJeyc7D944/wwBVncJu5l5ZfHcPj/f1Exmoy6i47FkFOgQofRzNMDWt/NGHbrjBi1WqmPlf90ZW/e97fmQHBp/gk/gEARTq65OaWna/F09OTEydOoFQquX//PhcvXqSoqAgPD48yyxsbG+Pn50fPnj15/fXXGTp0KECtB5zCP0sELIIgVFvIjdeRy/WwsGhd5v0FCxawYsWKKp0C/Fd6eoYoFJqZ6mvBa9DVVeJVf8xj93fy+2Pp12oCaWc0xwbcOhWPvpEObo01izpfeOEFAgMD8fDwoGHDhixevJisrCztycBhYWEEHTtO//79Cezdn/bt2/Ptt9+yadOmEmcS1aZuXbuz9/WW2OnmM/T3dHp8dICXtl/X3h9T34Ezn/VgZX8/mhiXzHvy5k+aqZDVZzQnJm96tU2t96+4UMXyaw9oZ2ZE88b2lVeohEJPB8fMVOIjr7HOxRJzSUVBQcVHORgbG2NrYUp6ejoHDx5kwIABVXqWj48PcrlcBCz/Z8QaFkEQqk0tFWNn1xcdHeMy7589e5YBAwbQt68mQ62bmxu//vprqVOAK5KYuBpww9u712P318RSnzb9PTi9JRyAhzHZTFjQAD2D0n8EFhYW8sMPP2Bubk6TJpotwOfOncPYUJ8Gdcwx8dAEaYGBgcjlci5cuKDNW1Lb6ri4s7i9G5/vVnNXUtHCzIhFY5vjVvfPXUQ929alZ9u6FKvU6CjkzPnpCqsiEnGbuReA5g7mXLyRTLdWdWq1bzv23CFGrWJRn7LX+1THtb3n2HnpIADGkj49PF0J0den8I8DEP/u4MGDSJJE5pWtHLydzeVrIfj4+GiT2aWlpREbG6sNJu/cuQOgPV9KR0cHCwsL0tPTH7vvwr9HjLAIglBthgZ1SEk5hiSpy7zftm3bSk8Brkh09CkMDBJxdHyx1vrcpFtdJn2vyU7bsGMdPJralri/Z88eTExMMDAw4Ouvv+bw4cPY2GhGYBITE7EwNUYlyUDS5A3R0dHBysqKxMTEEu1kZ2czZcoUXF1dy0xqplQqmTx5Ms7OzhgaGuLr68v3339fbr8fXI2hozqbk/N78vuHXUoEK3+l80fSuWkv+FH/LwcGXknMZMK2YNxm7mXNvrtV/bgqpCpSs+JKLG2MDWnZ1PGx24u/q1m8baYwYtyocYDmAEm1Wo0kSezfv5+wsDBt+czMTF579WVGfbKaLTv24uNsxcGDB7WLaHft2oW/v782YB4xYgT+/v4lPmdjY2MxwvJ/RoywCIJQbeYWzcnKvkFq6nFsbEqnqJ85cyZZWVn4+PigUChQqVTMnTu3xCnAFblzdw2SZEjjRiNru+sAuDYsvdWnS5cuBAcHExMTw7p16xg+fDgXLlzAzk6zmFRXVxclRmTEhWPpWn4215dffpmbN2/yyy+/4OTkxPr16wkMDCQ0NJQ6deowbdo0goKCWL9+PW5ubhw6dIg33ngDJyenUsnqJLWa6AemuNbJRiav2t8vjY10OfxZdwDuJyj5etstdsemUCSD2SfDmX1SM8p0ZUZXrC3LTqFfmb0Hw4lUqZjT04uTJ0+ycOFCrly5QkJCAtu3b2fgwIElyoeFhTFjxgxOnDhBcXExvr6+bN26FRcXzVEE+YpiLDHh7Y/+PI/Kzs6OiIgINm/eTFhYGBcuXGDWrFno6+szdMgQsiIuklcsISHDzVJHu4UZYNy4cSXOjiqLk5MTISEhFBQUoK+vX2FZ4b9BjLAIglBtero2yGS6mJk1LfP+X08Bvnr1KmvXrmXRokWsXbu20rYlSQLpPDJZG3R1DWq55+UzNjYmNTWVU6dO4e7uTlZWFh9//DGgmUpIy9TknVH/8cdmcXExaWlpJU55fpTUzNjYmBEjRlC/fn2aNm1KvXr1WLFiBaCZLhs7diydO3fGzc2NV199lSZNmpQ5XZZ24ypZRTa4tSh9KGJV1HU0YfGk1gR/0oNbH/egj52l9t7kFVWfnvsrtUrN8vPRNDfUp20rZ3JycmjSpAnLly8vs3xkZCTt27fHx8eH48ePc+PGDT766CMMDP78d6ssyCn1bTRy5EgUCkWJkZX8/HwALm1fzoNCE/p3boGvkwk3U+XkplXvuISAgAAKCwvZt29fqZ1Vwn+TCFgEQagWlSqXmNgfcHIahp5e2YnCKjsFuCIymQydaEOMd92gsJJFl7UpOTmZ/fv3a3+XJIl79+4Bmi+3LGUu8fHx5KRodrEEBQWhVqtp3frPhcePkprVr1+/xBe4oaEhp0+fBjTTZbt27SIuLg5Jkjh27Bh3796lR4/SRxFEnwlBR1aAc4e2j/Vuxka6GBvp8t20tgS90Z6B9pacy1JyNbTsbcMVOXA4kjvFxbzV3QuA3r178/nnn5e7jueDDz6gT58+fPnll/j7++Pp6Un//v21I1cRp28SlROPi2PdEvUUCgV16mjW3TwaAfntt984tOZL9t9Mo4WVEtcOI2jTbyxqZFzYvbpa72FhYUG/fv24fv06e/fu/UePRRBqhwhYBEGolri4TahUubi6TCy3TGWnAFfGfnMx1keyuThjxmP19RGlUklwcLD2ELyoqCiCg4OJjY0lJyeH999/n7Vr15KRkUFAQAAxMTEolUoCAjTZZhs0aIBvfTd2797NvYf5nDlzhsmTJzNixAjtKdDwZ1KzuLg4bSBz/Phxzp07R0KCZgTg22+/xdfXF2dnZ/T09OjVqxfLly+nY8eOpfodHQl1bR6iY1B7UxYeLua8PVSTjG3wukss2RxS5bpqtZqlZ6LwN9CnU9vKT5ZWq9Xs3bsXLy8vevbsiZ2dHa1bt2bHjh3aMnuDDmIjN6PvqIGl6o8ZM4Zp06bx3nvvUbduXeLj4zkbrdnq3H3cDJDJMLF3p4U9XIjKJj8jsVQbFWnSpAkDBgzgypUrHD16tFp1hX+fCFgEQaiW1LSTWFq2wdDQudwylZ0CXBFlbAjy+HxUNqZYHThISBWmkSpz+fJl/P398ff3BzSZcP39/fn4449RKBScPXuWOXPmsGzZMl566SXS0tL47rvvkMlkFBQUkJPygOcGDcfbyZx+w16gT58+tG/fnh9++KHUs/6a1Axg7969jBw5kvzsLL56/jkmjRzG+fPn2bVrF1euXOGrr75i0qRJHDlypEQ7efcjScyti1vjytPdV5d7XTO+6eGLoRp+vlr15GkHjt7jTlERb3etV6XyycnJKJVK5s+fT69evTh06BCDBg1i8ODBnDhxAgADhR56ki56RqWDMh0dHczMzFAoFEyYMIE333wTbxtd+nKU1OsHtOXaDnqZInQ4unZhld/lEX9/fzp27Mjp06fJy8urvILwxIiARRCEasnLi8HYuH6FZR7nFOCk378DBXju2IrSxxv1V4tJ/GNkpKYqyoRrYGDA0qVLmTZtGhcvXiQ+Pp6dO3diZWWFubk52fcusfa7RVgZytj22ways7PJzMzk559/xsTEpNSz/prUDGDhwoU8fBCLESqKilWs2bmH96e8Tb9+/fDz82Py5Mk8//zzLFq0qEQ74YcvIkPCrcvjTQeVp39Xd15u5EwWErci0yotr1ar+ebUPZrq69GxfeWjK4/qAAwYMICpU6fStGlTZs6cyXPPPafdsdPQw4d4KZWzO49X2p61tTUj3phFY+5QGPPnziszB3f8HXW4lG7KpoXTKC6oXuDxKOFcZmZmteoJ/y4RsAiCUGUqVS75+fEYGbpVWO7RKcAxMTHk5eURGRnJ559/rj2Yrjz5qXHk7TiJ1NIeQ5u6NPrxR4oNDYmdNJn8f/DLxNlZM1q0a9cuVCoVkiQRHx9PfU931m/YQh76jH3xBazqNa9ym8bGmhw1SqWSU+cu0MjJAZWkRqWWOPXrmhJl/z5dJqnUhATL8bSNwci2/BGW2bNnI5PJSvz89RykiRMn4unpiaGhIba2tgwYMIDbt29r7w/vrvmi7vvjOcYvPF3h+xw8HsXtwiLe7lyv1HRfeWxsbNDR0cHXt2Qm3AYNGhAbq9nK3HZ4NwCOXj2JurjyKUOZXE6mrj2y1IgS13uMno6jTib/Y++8o6Movz/8bEuy6b2RTkIChITQe+8dFBSRJiggRcCvCiogohQLggVQqQpI7713AiEQSCghCaT33pMt8/tjIbCkA/5s+5yz55CZt81syNy5772fe6/AlKBdFQcAV4aTkxMGBgbcvHmz+sY6/jJ0BosOHTpqTGbmBQRBiYXFy6sk/DQxKz9EnKnCcdqnABja2OCwfBny7GxC3pnwp2VzWFpaYmmpMQwWLFjA/PnzSU9PJzwoEFVEFIPa+WPvWbNKx0ePHuXIkSM8fKhRmZ394YfYGBvS3N0JA5kMDxtLDt+O4MyZMzx8+JD169fz22+/aW2XxZ06RXapDY161Kt2voYNG5KUlFT2eRzcC9C0aVPWrVvH3bt3y8TWevTogUql0ZJxdjBhqp8m2PVURk6lgaeCILD8TBSN9fTo2LHmGUt6eno0b968TLjtMffv38fVVTOOWCLGEmNUIjVnNhyq0bglxi7I87ULb+oZGjPh0+9oYVvC8fAcUu9dqaR3eaRSKc2bN+fatWuVitXp+OvRGSw6dOioMVlZV5BIjDEyqrhmy4sikushUopQFzwR9HJs1QqmTMbs5k1CFy/+c+YViZg6dWq546o4jdGhTrhb7lxl5OTkMHny5DJPh7uLC293aIFELGb0Nz/xZqsAAho3ZsSIETRo0IDFixfz5ZdfMnHixLIxbp2KxcogCYe27aqdTyqVlim42tvbl4ndAbzzzjt06NABNzc3mjRpwhdffEFcXBzR0dFlbd5/ww8DRACcvFxxPMuxs9HcK1UwrWPdct6VqgKaQZMxtnXrVn799VciIyP58ccf2b9/P++++27ZGG/PmISjxIrb8TUTtlNbeWGmSEGowIDtPvZjzMVF7N65DUVRQY3Gi48P5erVsygUCoqLdWJyFaFS//VZVLUyWFauXImfnx+mpqaYmprSunVrrTTA5ORkRo4cib29PUZGRjRp0oSdO3dWO+5PP/2Em5sbBgYGtGzZslby3Tp06Pj/IzcvFBOTFy90Vxn6tprYCKm59jZIo0mTyOrQHunvG4k9fKSiri+MSCTC39+fjh07Mrh7V0zuXkNcVICxAUSH3qrxOH369GHnzp1l1Z5djPXJLChEbWxGyoNITOUGfDLpHRISEigqKuLevXvMnDkTkUhjNOTcv0dMlgt+LeU1EouLiIjA0dERDw8PRowYUWYoPEtBQQHr1q3D3d0dZ2ftFGJLqQSA8ftCKSlRap0TBIFlpyPwl8no1Nmt3LhVBTQDDB48mFWrVvHVV1/RqFEjVq9ezc6dO2nX7okxJjczwsjICD1RzbRMJTZ10aeU4qyEcudkchN6tGlMksKEyAu7qhwnLu4an3/+KatX70QkKsDVNYTS0pp/1/8WBEEgJqOAg7eS+OrIPcZvCKLj16fxnXcU708P4zH7IHU/PsTPZ6P+0nXWSunWycmJxYsX4+XlhSAIbNiwgYEDB3Ljxg0aNmzIqFGjyM7OZt++fVhbW7N582aGDRtW9gtdEVu3bmXmzJmsWrWKli1bsmzZMnr27El4eHhZnr4OHTr+ekpKUsjJCaZB/W+qb/yc5O08CA1MMPPtWO5cs+XLCR4wEMXHH2PqXQ/zSirzvgiPt2XWz/8EgP6zPyf+wC88DI8CZSlIq47BAc0DvHPnzmU/bzp5DoBOAX6I878DwNa98rWH7g1EX2xJvQHldVmepWXLlqxfvx5vb2+SkpKYP38+7du3JywsDBMTTSXqFStW8OGHH1JQUIC3tzfHjx8vF0s0qbU7c85rFHDnr7nOFxOblXlSjp2N5m6JgrVdfSqMXXkc0FwVb731Fm+99VaVbVLz0skRCjn1+yFOhJ7n+OkT3Lt3r6y8wZIlS/D29gYgNiYGl/m5ML/y4N9mzZoxvMtHdOrUqSwj6TETJkxg1apVXL16BLVaiqurgt69x5CQ8CW3QidiY9MdN9eJmJhUrmj8T6WoVEVUWj73U/K4nZhLWEIOdxJzyXtkqNqZ6uNjb0r3+nbYmRqgJxWTnl/CD6cisTb+axWBRcILquVYWlry9ddfM27cOIyNjVm5ciUjR44sO29lZcWSJUsYP358hf1btmxJ8+bN+fHHHwFNVLmzszNTp05l1qxZNVpDbm4uZmZm5OTkYGpacZ0NHTp0vBhx8b9x//582rQ+h1z+cgvpARQnPuBhl74YzBqE+5iKBeYyo6OJfuVVlGZmBBw8gEz+fNLy1fHj9ImgVDLlx9VEHv2DvWs3Me7DiZg37Vfrsc78tprgg3vKfm7QvjO9p7xfYdvC/EzWfXiJ+h4pdPnfuFrPlZ2djaurK0uXLmXcOE3/nJwcUlNTSUpK4ptvviEhIYGLFy9qKc0CFBSWMva7S1zN02yjLHndnmH+Tej72QmkaoE9n3VDLPnzoggO/rCNoIw7AGzZ9AezPplN8+bNUSqVfPzxx4SFhXHnzh2MjIyIO7cJ2b6JZPZbj9raG7Vaze+//86KFSvYsmULAwYMYPTo0Sz48F1Gvvsh9erV4/PPPy+by9DQEIUij59/XoG1jZJ33l4CgFpdSmzsGh5Gf49EYkLbNueRSP65sv1ZBaXcTcrlTlIud5PyOHUvhaxCRdl5VytDfB3NaOBoim8dMxo6mlZolKw4E8n3JyO49ml3jPVfbkWf2jy/n3tmlUrF9u3bKSgoKBNXatOmDVu3bqVv376Ym5uzbds2iouL6dSpU4VjlJaWEhwczOzZs8uOicViunXrxuXLlyudu6SkRKvseG5u7vNehg4dOmpIZuZFzM2a/ynGCkDMls8AsGzTv9I2lm5uZC9aSOH0GVyfPJmWa9e+9HWUFBVRnJKEpZcmBsW5bT9EazcSc/nocxks7YaPxszWDgdPb2QGckxtbCptezhwCTmyJgQlmxCQm4OFqVmlbSvC3NycevXqERn5JIPGzMwMMzMzvLy8aNWqFRYWFuzevZvhw7XrNBkZ6rHtk068+v5hbknVfLQlmfB757lTUsqarj5/qrEC0HfqMHoWKziyfg+MGE4rzyb4NNR4ONavX4+trS3BwcF06NAB+xaDkJyaTElqMK6dXgHgxIkTvP7665w8eRInO2tcXV05sGsbOckxyP39tUoo7Nm7hJAbRYCMTh27lh0Xi/Vwc5uErW1vLgd2Izl5F3Xq/Dn1rF42qXnFXH2YyZ3EXO4+MlCSczWlDPSlYnzsTejewI5T91KZ3bs+3RvaYWogq3ZcQRDYcyOBHg3sX7qxUltqPXtoaCitW7emuLgYY2Njdu/eXZaytm3bNl577TWsrKyQSqUYGhqye/duPD0rFhlKT09HpVJhZ2enddzOzk4r9e5ZFi1axPz582u7dB06dDwnubmhZGScxbPuh3/K+IIgoDgQgqiZJWb1qtYd8ejRgxtjx2K6Zg23ln6H38wZL3Utv385F5FahXtjTQqzvrEJDlYyYsIj8X+O8aQyGQG9KjfCnmZ73DGKfELoFPYeSxdsZ/D4VjTx9q3xXPn5+URFRWl5uZ/msf5MSRUlD1pYZ+KQpWS/yJq1IXlIEOjc1b3Ga3gRpAYy+rz9Cjc+v0ts+EN82mkysx7rozzO5CrNTcMIAZG5Jh09ODiYkJAQli1bxiuvvMLkd8ZiI80nTWlIVrHAhrWr2bRpE/Z2dvTr3x9DQwWWVmIGDRqDi3P5bR9DQzdsbHoSG7cGR8dhiESS/5frf16yCkrps/w86fml2JsaUN/BhCFN6lDfwZT6Dqa4WxshEYuea+x7yXncT8nno14+1Tf+k6m1weLt7U1ISAg5OTns2LGD0aNHc/bsWRo0aMCcOXPIzs7mxIkTWFtbs2fPHoYNG8b58+dp1KjRS1v07NmzmTlzZtnPubm55YLIdOjQ8XIQBIGoB9+ir2+Pk1PNqi3XlvQz25EkKjD9qGbjN/7f+1wJC8V49Wpi/P1w7dq1+k41QBAEsiPvIbd3ovOQYWXHXX3qcf3yLdSFWYgNLaoY4fm5fW83t8VKfvDvRqRnNkUHTLmwLJGL/mG8M34I+hXEz/zvf/+jf//+uLq6kpiYyLx585BIJAwfPpwHDx6wdetWevTogY2NDfHx8SxevBi5XE6fPn0qvwcZerjVgTltTFh89hBDna0Qi2vvWXpexBIxcpEexSpNerFarWb69Om0bdsWX1+N8SbWM0KBFC59T2xhJquPJlC/fn1SUlLIzs5mwpQZ2FmZIxJUFMTfJaHYABMTE1JSUlj9y0ps7Bz5/ff5FRorj3F1eZtrwa+QmnYUO9vK79ffgU/2hJKeX8qBqe3wrVM7r1x17LuZiJlcRnuvyj2D/1/U2mDR09Mr85g0bdqUoKAgli9fzocffsiPP/5IWFgYDR+58fz9/Tl//jw//fRTmarh01hbWyORSEhJSdE6npKSouW+exZ9fX1dOXAdOv6fSE8/QWbmeRo1WoFY/Of8v0vb8BNqBwn23SqOdXsWkUhEk5UrCenbj9IPP8Jsx3bM3V/cC6BSKREJAsXJ8WRnZmBuaQWAa5veXL54h5SLu3DoXvvYkpqwPWQl9iqB9s2n0UmmT167An7bdACu2bJ+524mvPZauT7x8fEMHz6cjIwMbGxsaNeuHYGBgdjY2KBQKDh//jzLli0jKysLOzs7OnTowKVLlypNaCgqLsYw3xzTOkWMat6erWGfEVFgDHzwp1zzY2JCfiMvMwy1UoGpUQCOFnlkZGueC5MnTyYsLExLX0ZubsNZp4l4J2zHLOgrNm1UM++z+axZs4bevXtr1XdasnoH985s59aNa2Q6GWJiMojffvsNff2q1XrNzBpjZdWJiIgvsbJsj1Rq8udc/AsiCAKHQjU1lOralFdeftGx999MpE8je/Skf70KyguvQK1WU1JSQmGhpiBVbQqe6enp0bRpU62iU2q1mpMnT5bFxejQoeOvQ6Uq4n7EAqysOpKhEBOaeOylz5F99zxcTUH+ShckkuqzcB6jZ2iI1+pfEQkC4ePGUVpQM82NqpBKZcid3AAwNH7ygHII6ICeRE3MtfMvPEdF5OUmcqgokVcs/ZHINEahidyIyeNfQ1k3g7wLcuLSy6fwbtmyhcTEREpKSoiPj2fLli3UrVsXAEdHRw4dOkRKSgqlpaXExcWxadOmskybigiNuI8YCe4eDojEIvqYduee7CG/HPge4E+paBxx4nsiM+eTqtpLpuosUSXzsWu0BTOnw0yZMoUDBw5w+vTpMjXix3Qc/yX2HwSy446CoqIiOnfuzIkTJypM8PDpNJRhM5bQu0uHshpPD6+fKNeuXD/vBSgU2YTdfo+SktpXtv7/4H6KRjfm/e71kOu93K2r67HZxGcV0d/fsfrG/w/UymCZPXs2586dIzo6mtDQUGbPns2ZM2cYMWIEPj4+eHp6MmHCBK5evUpUVBTffvstx48fZ9CgQWVjdO3atSwjCDQ5+7/++isbNmzg7t27TJo0iYKCAsaOHfvSLlKHDh3PR0j4IoqLE8mSeJB4byKp9ybxx9me7LgwmOO35ryUORK+moPaTILL2OrrDD2LRd26WH39FUbJKVx/+52XooQrlsqQmFpopf6KJRJcHE2IeZD4wuNXxIFLCykVwZDW5TMjXx/dFZlaj40/neL+w+g/Zf7HRD7QCMc1qqdR2O3fQhPQ+kPGr4xZM5whq/uRl/fySiTkJt4jVrwcq5IedOpym3adLmFW3EYjm7H1Irt37+bUqVO4V+Y9M7Tk55siujSwYd++fdja2tK3b99K53NtNQAvkywAbO/8hLq0aiPXwMCRRr4/kpd3m8ArPYmOXoFS+fzCcsExWSw/EcHyExF8fzKCbUFxZORXHk9UGfdT8vh0Tyif77/DvWRN0kkv38p3JZ6X/TcTsTXRp6W71Usf+3mo1ZZQamoqo0aNIikpCTMzM/z8/Dh69Cjdu3cH4NChQ8yaNYv+/fuTn5+Pp6cnGzZs0NovjYqKIj09vezn1157jbS0NObOnUtycjKNGzfmyJEj5QJxdejQ8f/L1aSr3Ir5A3d9AXXqOhJKReSKrDBXxiFGgVByi4eZw3C3fP74tIzAfYgvp2DwQX9kRs+39+7StSuhk9/F7IcfufHZfJp+/vwB+Wd27yA/JhJDh/Ixca6NGnP60HlKUyLRs6tZteKaIKjVbE88R2eZObZ25e+lna0ldV8xIGKnFUeXRHKqbRDvjHilxvV8akNKXDZKeUlZdlJd13p0FFpyVnSFYGkYADsv/MGY3hOrGqbGJN7dBSJo2OkrxBIpYrmUZn1+p18/d86cyWP//l2YmJiQnKzZ8jAzM0P+VCp7ZGQkl6KL+GO4ER+uW8fo0aORSp881qKioti8eTN9+vTBysqKW7du8cXqY7QN8KCVPB0WOlI48SiG9q0qXaO1dWdatTzKgwfLeBj9A8kp+wlovB59/Zo/o5QqNd+fjODH05GYymXIJGIEQSCzQBOn08Ldki8GNcLTtuotneuxWaw4HcWJuynYmepTqlSz9qJGjfllb9mo1AIHQ5Po7+f43AG7Lx3hX0BOTo4ACDk5OX/1UnTo+FdQqiwV+u7qKwzb3Uv4/UQr4dBxDyE8+VzZ+ez8WOHYCQ9h+9Wpzz2HSqUQQgc0EUK7+ArK0sIXXvOVKVOEMJ/6wr3Nm59jLSrhx2nvCN8M6yt8M6yvcOXE0XJtMqNuC98M6ytEblv8wmt9mhshGwTf9b7CxWsrq2yXmZctfL9ii/DjhJPC8mVbBKVC+VLXIQiCsHDORmHx55u0jsUlPhQuBp0SDuzZIrRd3Up4e/2olzbf9UMThHMH25U7DlT4WbdunVa72bNnC3VsLYXDI+QCIISHh2udj42NFTp06CBYWloK+vr6gqenp/DBBx8IOTk5gmqJiyDMMxUKv7ITipMCa7Te/PwI4fyFNsKFi+2FgoIHNeoTl1kgDFlxUfCYfVBYfuK+oFSpy86l5RULv12OFlw/OiBsuRpT5Ti7r8cLrh8dELp8c1rYFhQrlChUQn6xQlh06K7w3h/XhRKFqkbrqSkXItIE148OCDdis17quM9Sm+f3Xx9Fo0OHjr8dx2KOEZMbw/wO3zGiyyU6dbhBPbv2ZefNjJxJF1lRnP38MR3Jh39GEl6I9QfTkcheXACu6dKl5Hl6UrJwEUnXrtWq76XD+ylOTsDGvxmT1myhRdfyKrPm7vUxNVATczP4hdf6NNvC1uKshlYBb1fZzsLYjKmTXkPeJRvRXUu+W7SDgsKil7YOQRCQZRtjbK/teHdycKNNs870Hfga3YX2XOY6V25ffClzyiSWCKLyxQbVajUnTnpw4qQHmZnRZenYY8aM0Wq3cOFComPjaetlSfTSHnh5eWmdd3Z25uzZs2RkZFBcXExERARfffUVpqamiD+MIWfoUiSlJQgbBoBaUxAyISGBN998EysrK+RyOY0aNeLao98nIyNPjhxuxRvDg7Gy8sTCwoxu3bqVlWF4lqO3k+m9/DzJOcVsm9CKaV29tLwV1sb6dPHRBEDbmhpUOAZAZkEp8/ffpp+fA8dndGRoM2f0pGKM9KXM6u3DstcDXrqHZV9IIq5Whvg7vdysoxdBZ7Do0KFDi9zSXL699i0t7VviY+mDSCRCrldegdLMsht24lzism4/1zw5xw+ispFg2+PlxKtJZDL81q2lxMSEhMlTyHu0jfA0JUVFXDt9AvWjasWPCT11HOSGjJw9D0Pjit3yIpEIVzc7YuKy4CXEyqxcuZKGDX1YMv48pyeH07ZtO63abL/88gudOnXC1NQUkUhEdnY2AG8NG4LDqyqkSSb89Pl+ktPSK5mhdsSmJCIvNaGOi3WlbXxcNBmg469NJCLqzgvPKaBEJJSPTBCJRAhqTXmGwCvTqxxDqi8nK2AyrjmBPNhYO00es4bjKOz5EQZFxRTFnyYrK4u2bdsik8k4fPgwd+7c4dtvv8XC4kkqe4MGTVm16nc2bmrL99/XxdnZjh49epCWllbWRq0WWH4iggm/B9PO05pD77WnqatlRUsgOUcj7mZfhcGy8NBdVGqBef0bIv5/2J4pUao4HKbZDnpc4+rvgM5g0aFDhxarb60mrSiNcY2qTt9t4zUZAQiMWFHrOdRqFapr0UhbeL7UWAxDa2tcV61EVlTE3Sna1ZePbtrAD2OGcnbVMv745on0f+iVyxTGRyM1NKr2j7Nrk9ZkFuuTd79yJe6a4uTkRM9XnfGe58HZs4fp0qULAwcO5PZtjQFYWFhIr169+Pjjj8v1fbVbL5pNsEFcqMfGL89zOyKyXJvacjtCU0vIx6vy9PBWfu2RCppMlNWBPz/XPJFhqew8GA5AlugcSlnFSuXduq2ltLQbIlH1Bfdc+s8i1uVV6katI2b7J7Vaj0nD8QhASeQBlixZgrOzM+vWraNFixa4u7vTo0ePsswrgDfeeIPevYfQt89W3D3kjByZSW5uLrduaYomFpYqmbz5Ot+duM//etRjxYgmmMkrV5RNeaRGez8lj98vR7Po0F3e23KDSRuDGb8hiJFrrrAjOJ7ZfepjY/L/I+dxISKd3GIlAxr/PbKDHqMzWHTo0FFGTkkOv935jTENx9DasWppAXOjOmSI7CjOuVBlu4rIvHUISbqAedeXL0hm6+eHavQoTMLCiD9/HkVpKWvnfkTYvu3oWWiyHVIjNUraRfl5HFv6JYjEvD67+mBdl/aDAYGY8/tfeJ39+vQmwjWJfi7OtGjelS+//BJjY2MCAwMBmD59OrNmzaJVq4oDQtv5N6ff+41QiZWc+TaWnb+erbBdTYmNTkMpVuDl6lppG1d7D473O8ob8iEcVZxh7+lttZ5n8h83eP98JD3nHqNUnIZKXEhxTlqFbc1MnZDJCigoqCY7SyTCecyvPLTvjfPtn0gNPlDj9Ujk1hTJpYgyoti3bx/NmjVj6NCh2NraEhAQwK+//lphPwMDB+rXX8n27TcxNtbDz8+P+KxCXll5mbP30/h5ZFOmdPGq1ggueFR08L0tIczff4cjt5NJyimmsFQFiDAxkDK1iyevNfv/E0c9dz8NF0tD6tn9vbRn/trCADp06Phb8cONH1AJKnq69axRe1vbPqhT1rE/5GM6+fwPE4OK3d7PknFsG4IMbDq9/iLLrRS/KVO4uXUbCZ9+wq6GnigyUjFx9eCthUvZtuxrkoIu8tuCOaiVmkJwbUeOx865aiExALmlDXZmYmLu3qHmgvkVExS8kmiJiHl+4yuszVYTfFzrcqj5foSzFiQHw50mD2jQ9PmqWGcnFiEyFZBUUzPI2tqOaX0/4OGWh8yN+QLPKG9uRAYhFKkYOWhCtfPkPdpOCy9VMOHEUlSClIlZ25j16uRybQsKHiKWgL5+9erCIrEYl3EbyFgSQOmx+VCLuk+CTB+hJJsHDx6wcuVKZs6cyccff0xQUBDTpk1DT0+P0aNHl7U/cOAAr7/+OoWFhdjZWbJ4iTX3U84xdbcpRvoSdr3bBh/7mhXiHdDYEU9bY+xMDbAzNfhbZORcjMqgreffI5X5aXQeFh06dADwyYVP2Bq+FYCGVpVLlj9NO58ZpAoWGGZu5fyF5vx2qj2HQr/g6oPfOXD9fbacH8ih0PKVl0sCQ6GRLRJDY9zc3BCJROU+kydPJjo6usJzIpGI7du3V7ouqb4+kiGDqJOShkF8HB5devPOV98jlUrx79gFgLSwG2TcC0NibErLPjWr9QPg5uVGTHIJQumLBbxuu/cH1rGldGr1Dvr6+kycOFGrNltNSUlMItn7HBgWc2ptBInRFXsrqkOdIUNmU7PYHCMjY5YO/QG1SOD1C2+yJHk5X+X8SGJybJX9ShQqUgU1dSWad2XVo/iVVdfcyMrPLtf+cV5IalrNtrwkMn2U3n2xKYmmIK/mRXFVBkaICjNRq9U0adKEhQsXEhAQwDvvvMPbb79dTqm9c+fOhISEcOnSJfr0GcgXX+Rw4/pi6tkZs3dyuxobKwD6UgkBLhY4msv/FsZKck4xkan5tKlbeSzTX4XOYNGhQweRWZHsi9oHwPnXztc40E5fasSIbtdw9f2NIpNOGKiz0U9bR170Z8iy9qBffBdp6mrORTxxq6fEX0R2p4TS6FxKSosICgoiKSmp7HP8+HEAhg4dirOzs9a5pKQk5s+fj7GxMb17965ybX4z30cpFtHAxIrBE568vTds3pL3Nu7Gu6fGSGk17M1aBRa6tuxKkUpGatDBGvd5lvSk65xU5zKmSQ9CQkK4cuUKkyZNYvTo0dy5U/Ng1qTsJPTz9HHzduHV91sgiFXsXhpMZlrtxN0KS4owyrfAuo5RjfsYm5oxzfRtnJR2fOk8B6kg4eiNqu9JRmYRSmBaS1eaGujzqo0xfraa7Z5ZW3dptVWr1agFjaGSn1d9HEvZuup3RZ9S0m7XfItMrSpBgh4ODg7lDMb69esTG6ttiBkZGeHp6UmrVq1Ys2YNIokh188+YNWbjbE0qrla89+RcxFpiETQzlNnsOjQoeNvyOqw1TgYOXDtzWuYG5jXur+nbVteabmGYd1C8fLfhp3Pz7RvH0L/LmGkYUluzBKScu6RVZjAnaujANDPLGbfvDHY2Nhgb29f9jlw4AB169alY8eOSCQSrXP29vbs3r2bYcOGYVxJNs9jxHp6IJVikFo+i0Yqk9HvrQm8vfI3WvWsXWE7h5a9kYrVxASerL5xJey5vAQJMKjjJ3h6etK0aVMWLVqEv78/y5cvr/E4R4OPIkZM16ZdsatjTb8pfghKMbt+qF3acdiD+0jVeri71y7I8u3B0zg87gQDugzDW+3BmZRzVba/HKQpL1DX3YKdn3Xjm/c74mimCUg9GmFHYfETQys7OxmZLA6FwggPj5p/R8b12qNAijpsT437GObmobB2pW3btoSHh2udu3//Pq5VxPUAiEQSlEo1CekxNZ7z78rZ+2n41THD4m9oeOkMFh06/uOo1CpOx55mkOcg9CXaWQiLFi2iefPmmJiYYGtry6BBg8r9QX8WF6um+Dp2w1DPBKlEj67NtyAg4vj1qRy9MRO1Ofw+UMa43DQmf70LkUjEnj17ACgtLWXjxo20bNmSnj17YmVlhUgkIiQkBIDg4GBCQkIYOnQoU6dOxdvbG7lcjouLC9OmTSMnR9uzoJRKET2Twvw0eUVFlWpugEabZO7cuTg4OCCXy+nWrRsPY2NxtjUgJjK6xvf4aVQlBezIDqOX3BkzY2059ce12WpKxP0ISuQluNtpMnvcvZ0wcVJTkmpAWnJmzceJ0ngQfL29qmlZOWZSU66LwoiNq9gbolap+fHyQ9oYGtDQ90nxRSeLJw/G7YFPalVZWjpSXOyBTFZAXFzNA7tFekbE2fekTvw+CjNrVkpBITdELyaIaVPeJjAwkIULFxIZGcnmzZv55ZdfmDxZ46ErKCjg448/JjAwkJiYGIKDg3nrrbfISM2kY0djkjIe1Hidf0cKSpScuptKj4YvX+b/ZaAzWHTo+I8z5/c53P36LvN6zdMyHgDOnj3Lu+++y5tvvqmp3Lp/P/7+/ty8eVNrjC+//JI2bdpgaGiIubm51jl707oIFn1xUD/ArOgaqfrNad9pCW4NPPjEXlvefM+ePWRnZ9OyZUvatWvHkiVLtM6vWbOG+vXr4+TkRGJiIt988w1hYWGsX7+eI0eOMG6cdip2qZEh6kp2e2qiufHVV1/x/fffs2rVKq5cuYKRkRE9e/bE3qseCVkiFDm1L4h38eoyEiRikk+bVFqbDSA5OZmQkBAiIzXbIqGhoYSEhJCZqTFEShQlCGkCls7agc51AzQPmy2fHmPpiLeICouudk0ZgZqihhbmNY+9eBY1mvgXk0pKLFw4F8NDlYp3umlnznw65A3m99TEAzVyqavVp0tnTRZSQkLtPEZ2gxYgQ0HCkZp5q1RdP0Gem49v4Bts+/17/vjjD3x9fVmwYAHLli0r+04kEgn37t3jlVdeoV69evTv35+MjAxOnz6Jm5semXnRtVrn343jd1IoUqgY8DcpdvgsOoNFh47/OPdT7mPgYsDPK8rrahw5coTU1FT++OMPVq9ezcmTJykpKaF3794UFxeXtSstLWXo0KFMmjSpwjl6+S8iXSmiVICeAd/Su3dv3jCVUL+Ztqt9zZo19O7dm2nTpjF37ly6detWdq6oqIjNmzczbtw4fH192blzJ/3796du3bp06dKFL7/8kv3796NUatJE85KTMUrPRN6qZYVrqk5zQxAEli1bxqeffsrAgQPx8/Pjt99+IzExkdvFRqgEMQnnd9buZgPbIndTHz3UpcaMGjUKb29vunbtSlBQkFZttlWrVhEQEMDbb2sUcDt06EBAQAD79mlijU6FnkJPrUcrf+2053a9G9N7mjciaRCCMpWgY0HVrkmSXvX2Wk2w0bOhrtIFC8vysQ8pSfmMOnoHN6mUDq3Kp+d28m2BVKTkyE1tEUK53AKFQk5+wX1u395DcXF2jdZiZF+XFNMAzKP2IFQn8leYhWnD8RQPXYFxbiF+yq+5dGAxxcXF3L17t+z+AxgYGLBr1y4SEhIoKSkhMTGRvXv30rp1O/JKzSksjK/R+p6Hn376CTc3NwwMDGjZsiVXr1596XPsvpFAczcLnC0NX/rYLwOdwaJDx3+YQkUhWW5ZtB3XliFDhpQ7/+xD28nJCYCMjAwtT8z8+fOZMWMGjRpVXAhRTyqnZdPNeDT4AUvDOqjVauwf5KBqVK+sTUxMDCdOnGD8+PEVjrFjxw4KCwsZNWpUhedzcnIwNTUtK36XFXgJiSBg3r5jhe2r09x4+PAhycnJWkaTmZkZLVu2JDQ2DWM9FTHBlyocuzISH57inKiYYW69Wbt2LdHR0ZSUlJCamsqJEyfKjBWAzz77rEyS/unPY3n64LBgSiWltK3fttw8Hg3q8O6Kr5GZjyDjvhVpSVmVrkkQBBSSEsQtM2p0DYsXL0YkEjF9+vSyY7/88gsbP9/KwSnHtFR5H3Pioia2Y1ZnzwqVWl1tXPC3T2bLDX3UakHrnIF+X2SySySnvM+Zs2PJyKhZnIio+RhsVMkk3zhaeaOo0/CVO3xhg+G2dwFQCsVci5hKcVIgqqIM1KU1q85cpLZFpfhzqnlv3bqVmTNnMm/ePK5fv46/vz89e/YkNbX2Hr7KuJuUy/mINAYHOL20MV82OoNFh47/MFvDt5JZksnSTksrPP/0Q1utVjN9+nTatm1Lq1atuHy5dmqvHtYtaFRHEzx57/pxjIoFLPyblp1ft24dtra29O3bt8L+a9asYcCAAdjY2JQ7l56ezoIFC3jnnXfKjpVkaR7SMgvzCsd7rLnh5eXF0aNHmTRpEtOmTWPDhg0AZRWCn60cb2dnR0pKCi5OFsTE1O6BsePqdxgK0KflB7Xq9yyCIJCXkIeevV6lSsFisZie77amvoGY4mWh5GYVVtguKzsXmUofS7vqM4SCgoL4+eef8fPz0zpeWFiIt78XVv3Ka3cUF5ay4nosbYzk9Opat9z5x/g76VGklJUzaDp0WISZ2XQK8r2QyW4RcrMLd+5UntL+GNvWw8kTmVJ8qQpF3o2vAAI4twKvHmRYm2DuMggEuH9rOoFnWnL+jD+qksoNvseoxQ5IKV8O4mWwdOlS3n77bcaOHUuDBg1YtWoVhoaGrF279rnGu5OYS1rek1gphUrN7F2h1LUx5tWmOoNFhw4dfzMEQeBo9FE6O3fG3axiOfanH9rvvvsut24F88cfm7Czsys79zzErPqefEMRTfq9BWiCTdetW8fo0aPLPCRPExsby7lz5yr0vuTm5tK3b1/q16/P6AZtUSoebQmFa9RsQ4OjUCrLB97WVHOjMlz9m5JWIKMgtma1lBQFGewqeEB/03oYGrxYQbmQ6BDkJXIa1a/Yo/UYb383HFz1EIlEBB2/V2Gb+MQUAGztqhZny8/PZ8SIEfz6669acT6gUeX9+tMlyOuWL2L53cabpKjVzB1a9VqdLa1RqPWYumEdiqe+L7FYTLOmU+nf/zB1HH/SrKU65VtALNUjw60/zhnnyHp4s3yD0B0gqMDAHMYdhRHbsZoSj13HFdirXUiTpVGsL6CUQl5M9cq5evpOGEtTEQSh2ra1obS0lODgYC1Pn1gsplu3brV+aQCITi+gz/fn6fDVaa5FZ5JVUMrsXaHcTsxhyat+L72I4svk77syHTp0/KkcjTnK7YzbDKw7sNq2H3/8MXv3bmHhIhmC8PzpvABpqdG4XXhARjNP9Aw0e+W3bt0iNjaWt956q6xdXl4en3/+OQBDhgxBJpNpPSgfC8iZmZlx9epVjh49ivebfZk95E0ACo+fIMPIgJtntxC0t7wmR3WaG/b2muDVlJQUrTYpKSnY29vj2lGzhRZ7bneNrvvk5cVkSMQMa/F+jdpXxfkb51GJVHRv2r3att7vtWJ3ThGR1yoWlEtI1By3ta5apXjy5Mn07dtX68H5NJm5T7aUcnKzAYi8n87aB6mMdbHCx6e8Z+xp7qZpPDz779qy6viucudFIhEeHp0BUClrJtrnMHgBhWJjVJteoyjjUXxJXiqsaA07HwVoOwaU61e/+yk6+R2kpdvSR3NXLwpvYuyKuX4Omfl5NVpbTUlPT0elUlXo6Xuel4Zt1+IAcDQ34NVVlwlYcJx9IYksGuJHE5fqFYX/SnQGiw4d/1HWha2jbZ22dHSuOMYDnmyHHDx4kO9/CMDBQUZE5JckJj4oe6A/TWrSdYSSXK5sfZWi4ord6HeOadR0/T9YUHascePGCIJAvXpPYlrGjx/P+fPnAdixcyezZ8+mR48eJCRotDzu379P06ZNad26Ned/2sgX9vaIgA7RD0g6dRWrgmISLTRZL5e2LaUwV3tLpDrNDXd3d+zt7Tl58omBlpuby5UrV2jdujVGDu7YGKuICa3g7f0ZBLWa36MuUU8wxsu5fMxJbUl8mIjSQompXHN9K1euxM/PD1NTU0xNTWndunVZ5WexWAx6pdx/eJsuXbpgZGSEqakpHTp0oKioiIjrySjEJXjVqbzo4ZYtW7h+/TqLFpVXLX5Mk/otcCnV/E5sC9zEin1LWbQ9CGORiBmjm1R7Te29njyQi0qLK2yjp6dPSbExBYXhBF//lexsjXF5995hzpydSXz8NZKTQ8va65taUfrqRuTKHHJ/7oOitBT2T4PUR+J8jYbBm+WNI8RiJNY+6Fs3RqQWyE2tWl8GwOaRlzImteYid//fKFVqdgTHM7KVK0emd2DjuJYse60x5z/q/LfeCnqMzmDRoeM/iEKl4G7GXVrZV1xY7zHffPMNIpGIV199FSNDMZmZSuLjS7l27Va5mjclxdlIrv+GSBBoevc42d96c/3sgnJZGjkXzhNrISalQCjTV3n48CEhISFl3o2EhAR27NhBUtuuAIwJvkfjnr1xdXVl5cqV5ObmMnLkSEpLS1n9wwrUSz/jcG4uAe71cC/NJfvd0RQbW9Nz5UZavToNgE0fz+XSjlNl65gxY0aVmhuPA0u/+OIL9u3bR2hoKKNGjcLR0ZFBgwYB4OJiQ1xS9W/UKVcCSS+xRVH04umiKdkp6Ofp41r3SYaVk5MTixcvJjg4mGvXrmlVflar1TyMi2Dl/jn06NGDq1evEhQUxJQpUxCLxZSmiSh2TkNPWrFQWFxcHO+99x6bNm3CwMCg0nWZm1vxSS9NAcl9qYf4KXk/J/PUZAkChjUQIesf0JBh/pp7Ob5LxXFMixcvpm/fW6xcsYvs7MXs3dsNkUhEg/p96NzpO5ydm+Pg4KdVusG6QQcKe3+PXWkMiTs/hvsaQ47ZCfDKr1BFtXCZqSumpQZk5wZXu35nG018TkrWw2rb1gZra2skEkmlnr7acCY8jdS8El5r7oxMIqadlzWDAupgZ1r59/q3QvgXkJOTIwBCTk7OX70UHTr+Mfiu9xV81/sKeXl5wo0bN4QbN24IgLB06VLhxo0bQkxMjABU+LG2thaKiorKxoqJiRF+/6KdMKeTvmBkJBeOHvxV2PE/NyFvtolwc6mnEBFxSBAEQVAplcKlZg2FhYPbVTju6NGjBUEQhJUrV1Z43tnZWejYsaNw+vTpStd20L+VENKsg1Ccofl7UJhXKHwzrG/Z5/DKLWXr3r9/v+Dr6yvo6+sLPj4+wi+//KJ1j9RqtTBnzhzBzs5O0NfXF7p27SqEh4eXnb+5dp7wzbC+QlbEjSrv9cN9u4W3Pv9ICFjdVCgqLn6Rr034/fjvwrx584TI5Mgq21lYWAirV68WIu/ECG629YVX+71Zrk1xUYnw/YTjwqo/tlY6zu7duwVAkEgkZR9AEIlEgkQiEZRKZVnbJd8vEACh/k/1hYZrmguus3YLrh8dEIpKS6pc66JFiwRA6Dakv+D60QHB9aMDwvVbN4VBgwYJ1tbWgomJidC1a1fB2dlZ8PDQE4YMMRXCww8IBw82ELZtdxF+39hMuBp0WDhwYJ4werSFIJfrCXl5eU8mUKuFjIUNBGGeqSB8ZiEISaFa88+bN6/c75G3t7cgCILw8MwbwqHDbsKbA+oKlpYWgpGRkTBkyBAhOTlZawyVSiEcOV5P2Hzq2yqv9Xlo0aKFMGXKlKfmUgl16tQRFi1aVKtxxq0PEvp+f+5lL++FqM3zW+dh0aHjP8iPN34s+3fg1UACAgIICNDs5c+cOZOAgADmzp2LIAio1WrmzJmDpaUeMpmIJk2MuHjxotbb9ty5cxn56QUWnCmhoKCInn3f5tVvotnp+Ca2Rbm4bnydi+u6cOvKTszzVHR847UKU3bXr18PwMSJE/Fr0RKZf1Ostx3l8/BYfv/9dxISEkhKSqJTp05lfa4OHM80Z08sLCwoKiqiT8hl/IPOom+p2S6RG8t55dOl+PcYC8DtM1vL1t2vXz9CQ0Mr1NwAjZfl888/Jzk5meLiYk6cOKG1bZUartl+KMysOlvIQA51crxRSEs4H3altl+XFvfv36fAsIC6dhVn3KhUKrZs2VJW+TkvL4/o1LuQZU6bNm2ws7OjY8eOXLhwgTuRUYgR4+lZp9L5unbtWiZa9/jTrFkzRowYQUhICBKJpKythfGTOJgesmZM6qH5HQlNSik37mOezjzyqaPxGqlLi+navTsikYhTp05x/PhxAgMDMTQ0xMLCAwuLPtSr1xePul9jZfUKgwYepnmzXvTt+xnnzpfQsaOTVukGtSDwi6mcRImEfW6NEWzql1tHw4YNtWpWXbigUdet0/xbVv+Qw9HAaBb+z4IzZ86QmJhYTgZALJaSq7CiuDiu0mt9XmbOnMmvv/7Khg0buHv3LpMmTaKgoICxY8fWeIyU3GJOh6fyWrPyOjj/FKqPJNKhQ8e/irTCNH6+9TMiROwYsIN6FvWqzGwQiUS88443HTtp9rhNTf21HtoAq35YxC/ue7jm2482r2zUOqcs/Yrb+yfRNGw/KUdmkiMzwb/769Wu8/Off2Xo6DGkD+vJfImEJk2aMHz4cIKDgwk7l4BVHWNMjZTI719hX0EOI0aMqHTLwq1RPdwa1SP+XhjZSS8vxsDazQMe3uXmjl9xbNFD61z23TBu7L6GqY0R1rZgk++MvtKQg3eO0r1ph+eaT6FUoE5TY1mvfIBsaGgorVu3pri4GGNj47LKz4GBgQAcvL6G0cPf5ovPFrH/8B66du3Kou9+Qg83GntXXiHaxMQEX19frWNGRkZYWVmVHU9OTiY5ORmRSrP184nlR7i51OW904FAfa7GxtDcpfyD8unMoy+++AKJWMK59xvTfMpastPSWL9+PaampowePZpRo0axatUqGjVqhLGxJt7Fx7sPPt5P6gwFBwfz8EEhU6coSUi4Tp06TXiQ/IDVgavZb1zCCSN3UkjjwO8tmd/5Oxxc25f1lUqlFW6xFCrk7D+ez49zulG3ZQS+DexZt24d9evXJzAwkFatnmyrlgj2oHr5WiyvvfYaaWlpzJ07l+TkZBo3bsyRI0fKBeJWxaHQJCQiEQMaV26c/t3ReVh06PiPsTdqLwA/d/+Zehb1qmmtoaDwyUM+N/cmRUUJWudvn5mPWBBwaj2jXF+pnjH+r/xO6buXUefJ0beRYmRWfSXY/v6+rD98jIeZWcTFxXH16lUUCgVm+rac3RzOrq+DifttDzfyc4nOTKtUcO5plKVKpHo1r0hcHe59JwBwJ6YIdUk+cSdPsWXGH+z5YB1blscTnWDK1WBTDhy2wkyaRSeDnpxRHmL/lePPNd+NhzeQClICvMtntnh7e1dY+Vn9KIaoadOmuFh7c3eXild7vIW3tzcHd++nwDAbK5MXyw55VpX3zeFjaNe2PSk37gLw+5UHXI6OLNevosyjX0+fQFApEIvE6OvrawX8isXicvWinmbNmjV4e3vh7WNBaNhnhDwMYdCRQezP2U+AXgAnxgSzqtFUooQSBp+aSETkkbK+ERERODo64uHhwYgRI8riqYKDg1EoFLRtoslyksnM8PHxwcXFpXxascQRfdGfo8UyZcoUYmJiKCkp4cqVK7RsWbGCc2Vcj83Gt44pZnLZn7K+/w90BosOHf8x4vI0LuvGto1r3Kee16cYG3kDYGPTE339JymquTkxeIRs47Z9PVwcm1Y2BKY29RFyZJi61iwbQSwS8YajFW4W5jg4OJCelsHB/YdxN30yR9HhfWwtUdO0aVP8/f2rHdPM1oHSovLVm5+XohSN6mobf2uK0zM5tjMPQS0glYnxrZfBm0t6MmxKHbp1zuTVT9sxf8gsPFT1mXd7NnsuVKHAWgG3Ym/z8YmPATAtKe9h0dPTq7Dys4ODAwD9eg7CuNANgJC9acgKrMhMzACrijNyquLMmTMsW7as7OfKVHlfG9UfgOQ0K7bevKY1RmWZR0q1CH1HH9QSffq/9grTpk3j119/5dNPP0WlUlFaWlrhmh6Xbnj77QkYGQ5GJrvNkvOaTLS28rYs7atJUW7b5B32DD2JtSDmu0uaIOGWLVuW1aNauXIlDx8+pH379uTl5ZGcnIyenh51XNoAUJioyRiqKK3YwMAJM700VKpqygH8BYTEZdHY+e+dtlwdui0hHTr+Y2QWZdLRqSNyaXmRr8oQicT4+f1KfsE9rK26lBWvU5QWkP1LBywEgTpD1lc5hiLyBiWZaiwaVr798DRHjx5FEAS8vb2JjIxk+rSZ2Jg40dq7V1mbouQYTqUnsHT+xzUaUywR8TLf04QCjfHj0WMEp37YgyC4MuiTbshtn1QjtvL1xeqpLZV1r//Mm7+NZ27kB+wK28srAQPo3LAdpsaV1/NRq9S8f/wDVCIJiKQcP3IMOzMH6jaoPB7hceVnNzc3HB0dyS/J5qMf+pAUk87BVTdIzYmngWlzTB2qz+B5Xr4ZMIgdlw4CcPC6kmWPJH8eZx4dP3683Dbeez17oFIfY2fmFM7vW0VxXi6tW7cu+51LSkri+++/58cff6SkpKQshubp0g16esUcvfI7t9X3GWb3Gp/2/lRrDhNjWya49eXjuIM8jD5L7969y875+fnRsmVLXF1d2bZtG3K55v+JTK7ZflGqK9eAMTdxQ6QqISk7BScrhxe4cy+XjPwS4jKLCHAx/6uX8kLoPCw6dPzHMNIz4nbGbRRqRa36yeV1sLHuqlVp99bFr3ApyCauzyKsbRtW2b/kwkEQRBj2frNG8+Xk5DB58mR8fHwYNWoUnbt2ZHKfxUgkmvcsCyspx7NSECRShg8fXqMxi/LyEIsl1TesIYZ16iFGzcavlxP+8BjunolaxkpFmBmbsOmNdTSN78lN/Ut8eu8Demzpxc17FSvRAny7bxXJ0jg+bDKLme9NRyrSZ+f23WV1d2bPnl1p5WeRSMQHH3zA999/z44dOyhQZBMjPUdKdiytffqgb1pJOeuXgGZ9Gm+DotSYnKIiPD/dxatLlpCamkqTJk2QSqVIpVLOnj3L999/j5ONE4teG8HEYX44jP+ZLXs2cfHiRW7duoWVlRVOTk4VBvw+XbrBzMyZBUlyBBFM7Ti1wrX1bDMbuVrNqdsby50zNzenXr16REZGYm9vT2lpKSnJGs0efUNNDEhFacV2FppA6Pi08ttffyUn7qYgEkEzt3+2h0VnsOjQ8R/DQt+CAkXBS5EQl9zaygMjcxo0m1htW5mXRppdFVf5g/lphg0bRlRUFCUlJSQlJfHjjz8i13/ihTAqTuNVc0uS70VjZlYzqXu5sQkqVe23QCrDzDOAdm2fxAFZNPCrovUTTM0NWffp1wSNCGJNy9/RE+kz7dxUgu6HlGt77W4om7JX01HWm94tOmNqbkyXTl0pFDLZuno/AKmpqVVWfp4+fTqzZ89mxowZ+Pv7c/LkSQ4c2k9s4xusyPmKKTumEJ0a/cL341nEYhH732uMg20qCDL8559CqdQnSdaRK8HBVWYeje8yAH1DKR9dNuP762GkpqaSmZmJg4ODVsAvQGRkZKWlG8wMK/7d0DMwo6nYiCsZt8qdy8/PJyoqCgcHB5o2bYpMJuPwqYPIStXIzf0IDw8nNja2nBaRi60nAGnZD17ktr10tl2Lp1M9GxzMau5V/TuiM1h06PgPkV6Uzh/3/mBMwzHoSV5sKyArO5qGWUnk+PSpvjEg820HQOm96kW4KsPO3bTs33XC91Jg44mZR81d7w71vEAoZc30T8lOzXzudTxNsylLMTDUvLk26tKiVn319GS08GnMyu4rEEQC4y6NYsSat/nj7BO5/6+vfo2Z0pLFQ+aVHWvVMQBHi7qEJ1znwf1Y1qxZU2XlZ4BZs2YRFxdHQUEBly5dokePHnwwejwBRo25lHeJwQcHM33rdK5EXiE+I55159ax7dI2wm6e5nKPtuQl1KxK8rM0cnCmgaP2g1Ksb4jc0RJfX9+yz7OZR3u272CESzQ2ynBOHL3PwMGDGPP2GAwNDcvNsXbtWpycnOjR40mmVjNTc3xNzKtcW0vLhtxQFTBjxjTOnj1LdHQ0ly5dYvDgwUgkEoYPH46ZmRnjxo3j85+uEHS7hKCQ64wdO5bWrVtrZQgBmBlZUKgwJDc/9rnu1Z9BUamKm3HZdPap2vP3T0AXw6JDx3+IlSErMZQZMqL+iBcaJyP9Hg9PzaMZ4NpiUo36iM2skBqKUETdf645S4uVpDzMfepAKZIKHl5V0WpwF2Ju3SHx3inWTB2FzMCKtq+No2mf50szLi0qJTEiFrm5B2qSkek/XwZGQxdvjo46wA/HfuVg8l4WRs8luyCXib1HEaW+R3eDwRgbPMluEolEjBw/jG+WLOXMsYt41HN5rnnr29fn19d/JTknmUWnFnE65zQnLz4pReAbrabRH2rMgfiuvah/T5P1c/f6cS5//h7Gzh70XfgbRiZV1yFa0r8vcyWnsDBRsOmMxnhxriZTLDw8nPXr15OZmYnY1ArDpsO4bNOLuz+/Wq7twoULWbhwodaxuiZ27E26j0KtQCau+Htp6TWAbzOvcftOIFu37iAjIwMbGxvatWtHYGBgWWXw7777joKkk8yfH4VS0ZlevQewYsWKCsfMU9qiUMVXeW3/n1yLyUSpFmjlUb6S9j8NnYdFh47/CJcSL7Ht/jYmN56Mmf7zVwsuLEhDvLItze4c4Ya1K5Z2NdsGAdB3MCUv5Pmky2X6T+IVWg5wRy8pEnFd71qNIRaLGT5/Gj0mzgaRBEVxBmc2fEXyg+d7wGyas5CdX04nK/E6pYUpJEU+/4NKrm/Ah/2ncnrcMVqLurIq5Tve3/YpJeIi/BzLByrLjfTRkxhSUFBQ5bh3rkdx43x4lW3szexZPng5a1qvYaLFRN7zeI/V7VczLl3jQcg11bzbHj/4I3m5GfDGNFrfE2h0PIpLW5ZVe23WRiasGDqQL3u9ioV5KsZG2RrNlQdPtgefzTxavHgxycnJlJaWkhxzn1eGB1CklJOcnc6CneuYsn5DlXN2cR9AsVrg4+Pa8U2fffZZWeHMBvWHEDYmjJu375GYmEhJSQnXrl1DJpPRtm1bjIyMaNKkCQcPHuS3Pfe5uLM9h/e6sGPrpkpl8RU4IFa/fC2W5+VCZDo2Jvp42VYe1P1PQWew6NDxHyE0LRS5VM5wn5oFqFbGteMfYKFScq3VW3iPP1+rvibtm1KSpkQorlm13acRiUQMn9uSQTMCMLx3EZmiAMdBFVcOro5GnVsyY9NufLuMBOBhSNUP9Mooyn16W0nJjaPVF8mrDrFYzPJhi2mobsaJogNYFjrQt3XXcu2CL9ymSMjCx8en0rECj4dx+pcYLm1KIPZ+5Wqzj2nm3YzJAyYzvv14Wnq0pM7xSxSZmOC5W6Pd4/T+T8S30GztPRzSXHPs2+0cHt6Zi398V7PrE0nJLzCn0bxTjPolimG/ra22j7mRCSNaa7RnWi2+wpogWw7cs64yDquF2zAAjiSHIwjaacZPq9qOWd6EXrM8y86NGjWK8PDwsvpRQ4YMYdiwYdy4cQO3uu+hksDdk91QKyr+HZboOSIXV618/P/Jxch02nlaawXL/1PRGSw6dPxHqG9VnyJlEYn5z//29zDqGM1v7uF2nUY06/Udhga189SoMtIRy0Bk8HzBf5aORtTxtqBg5xYKnRth16NdtX0WL15cVsjwacQSMd3HvwpIubT1O/IycyvsXxkF2Xk8eQ5qHpxmNi8nC0NuYMDmcauZeOdr3oiahalh+bfj8+cvIENO1/5tKhwjNzufa7uSEJkUIiBw43xErdbw2BgodXfHqo4Hqj0/l51L6+JHn4W/Ed1EEz/kdiMZy/m/UJhbfVzQay3s0Td4Iv4W8sCANVfPsyvsapX9Ovm2YcNIC+b3UjOyaTEi1MSk3q60vVRiQCsLTSqySKT9qHusamtvb0+Akwdxhk+0XS5dusTUqVNp0aIFHh4efPrpp5ibmxMcHIyJx2AamLxGiiyJmLNvaI0pCAIqRSFmemaY6WVSoiip9l782eSXKLmdmEsrj6q37P4p6AwWHTr+IzSw0mwr3M6o/I98VRQUpqPePoZMPTnuI/Y81xiFd6ORO9Uu7qTcOmKTMc6IwqjvgGrbPl2npiLEEgl16mviV1KjEypsUxnbFnxDcd5DbD1a0rDTcHzav07rV3vWaozqkJboY1iJcScWSVBQxPLFP6NSqsqdDz5zD5EgYcCkFkjNSogPy6G4qOYP0dJHirLyDpr74+vTAe87t6l7M5gOKzT1mHpuPIHkt+UkW2m26xLuBFU77oedu3PlowE09NB4IRQKKQt25TJzYxpXYiLJKarc+9axYRtGd+rPlB6dERBz8nbVRlhTuyYARGdoi9Y9rWq7Z+V9ErIVZGRoxmrTpg1bt24lMzMTtVrNli1bKC4uplOnTgDYt1iEs8iXh9zkwpG6nDtalzPH63LqVF3OnG+EoWotErGapLiwau/Fn829pFwEARrVMf+rl/JS0BksOnT8R7CWW2NvZF9rg6XT1k702dmLyLVdcS0uQDzkVwwNq5fWL0dRNoXROUjNTWrf9ylidp0GwKKZb5Xtnq5TY2FRueej2/g3ARH3Lt6o8RoEQSAzIQxn356MXDSHXpNG0HfKm4jFL/dPqlKhxsC44tyIN98aSn3n5hTllXJ0a2C58wkRWQiyEpw8bGk72AehSJ+Ni0+WSfVXR+adOwAYu7mWHROLxejpG2r9XK9FD/z3HkUtgpgLR8qNUxHmcmN2vjUcRCUIqifBxK+tDGfo+i3V9k/L0uicnLufxemwi5W26+WlCS4/FfWk4OWzqrY5mSoeLnzI9dsagbtt27ahUCiwsrJCX1+fCRMmsHv3bjw9n2wbebRajae0LY56TXDRa46HtA0+ej1oYDgYN/rR7EY2eQl/feBtVqFGa8nWVP8vXsnLQWew6NDxH6KpXVOORx+nVFWxvPmznIw5SUZxBnH5CdhlxRLW5UMcvPs93+QGZpj5mpN7K5niG5erb18ByuISFOuWUexQD5uWVQvVVVSnpiKsnWyRGdiS+rB2WyYgIHtKpfXcuXP0798fR0dHRCIRe/bsqbTnxIkTEYlEWkGm5UYXBAS1gKFJxennlrZm9OzfGbOsRjy4UEheTr7WeUNTfVBKyc7MpVErDxr2tKAkxYBTu2qWVp5z6RIAFo0aVdvW0roOCc5y9M5U72F5jIHUgHrOhRibpjKpp5SZfTWepOzC8t6iZylWarJ+zkbb8c7mNNJy0ips52bpj6+RAWvvH0Wt1ozbu3dvhg4dip+fHz179uT4sdOoC1Vs2PYHAHPmzCE7O5sTJ05w7do1Zs6cybBhwwgNDS0bV2Joi0un3/Hosh23zltw6fw7ddqvwqHVNzi3WYxJrorC1L9eiyW3SGOwGOq9PLHEvxKdwaJDx3+It3zfIrkwmZGHRxKTW7WuxvXk67x/9v2yn495tKBxh0+ef3KRCLsfd6BnCglTJqDOy6tVd1VBITf7DEevJBf7z+YhllWeQlxZnZrKsHTyJDslstIgzjsXbrBq4vvs+eY3slOyEYlESGRG5Gc9icUoKCjA39+fn376qcq5du/eTWBgII6OjlW2K87XGJVGFhVXoAY494cmWFgkSNjwyQVWfXiY07uuA9C6dwNEgoTrZzRp5J0HN0XPppi7JzM5d/B6lXMDFObmopBKMXOqWe2n/BY+WD7IQFVN1tLTHHv3TcI+HstHnXsy2FezfdPExbSaXtDMM4AjU+uxdZwzArDy+L5K2w7wepUclcCthMMVnre0ssHG3pBrD6OJiorixx9/ZO3atXTt2hV/f3/mzZtHs2bNqv1eH6NnICdNZImQGV2j9n8m4Sl5OJgZYKj371Aw0RksOnT8h6hnUY+NfTZSoChg9OHRJOZVHIBboixhyukpCAh01bPFVK3mjaG7ys5X503YtWsXPXr0wMrKCpFIREhICABiayfqfLUAZU4JSZNfr5Xa7t0FP2GQGI7i3S9w6Nik0naP69Rs2rSpXJ2ayqjbtAlqZRaxt8sbcfHhsRxZsZiC7CiigraxZtpIfhw3AVVpFlLZkzfX3r1788UXXzB48OBK50lISGDq1Kls2rQJWRUGF0BKtMagM7Ou/BqSH2gChXtM8cLEUYyiVMXtY1lcORmGpa0pAmqK8p9404a+1w6RYTG39mdxOyiqsmEBKMkvQK2npyV/XxWOvYcgUcO9Uztr1P5ZXl2r+f3ysKqZXohPHS9aevnRs14hO28ZUlhccRXnnp4j0RcJ7A6vOA06Pz+fgnQVuRYSbj/aFtp3bh5bjk4l9VFQr0QiqfFWGkCGzAHZoyKjfxVqtcDBW0l08rapvvE/BJ3BokPHf4yGVg3Z0GsDxapiBuwdQLFSW6r+ZupNumzvQl5pHhP9J9LEqiGlgLjkyZZDdd6EgoIC2rVrx5IlS8qd028/FPvRncm9+oCcVQsr6P3MWEkZXOn0KqK9Gyhq3R+/aa9U2T44OLjSOjVSqRSVqvyWg2+nlgDcOV8+U+X8HzsR1KWM+moVQ+csw7PFEARBgrVrK3pPHlnt+h+jVqsZOXIkH3zwAQ0bVr2dBXD7vMaY9GpuV2kbZanmWrx8nek2uiGXUzcza8Ng2vdsiodzPWLTIqjXROMhSUlJYfr/prHwj0nMXNOX14YPIyKi8m0wqVRSK4MyoGV/EuxlRP/wbY37PEatUrMzzYsLmNIisep05WfJLSoiX2FIaSUVki2NHDGRStmVcA+1Ws3//ve/cqq2+vqGNGxuxqepP6Nnq8fCZYeZe/EgXdcNZti4Fhw/fpxBgwbVeE358jqYFNUuiPtlczM+m4TsIgY1rvOXruNl8u/wE+nQoaNW6En0KFBoXPcdtnZAqVYyp9UcBtYdyORTk8krzWOS/yQm+U8iKPoExUmnCQtZh1/7WYDGm/B0hdtnGTlS8yCPjo6u8LzZ+z9RGNyW5B9/x6BlZwyaVJyae/iXddj9uByT0lJKe72J34Lp1V5b165dteINAMaOHYuPjw8fffRRhR4DE0tz9AwdSLh7Cximde5xkKmpjTk2Lva4+HoCY6tdx7MsWbIEqVTKtGnTatQ+ITwLQ1M9jKvYEpLIxMgMpGRlZdG2bVs6d+7MgUMHuHrgAfFxCdRva4uXrwuCIDBo0CBkMhl79+7l+MabHDq9k04dO7Nu+Q48/erg4a1d+VkslWJQVER+airGVRR0XLx4MbNnz+a9996jbStvbPbeZMqUKRw/fpzY2FhsbGwYNGgQCxYsqLTm077Q3TRDM4dnWC5nl1+j0/Tm1d6jopIiLsTYIiDm3Q272ThxLGJxeb2RXk4t2fjwEuuD3ic+Ponhw4c/o2p7BWtrGUevLCVtSUuO7k4hcNVVcnKziLSVMvhdP3r3rHkGmMLUBavcKzVu/2cQl6XJtmrgWP0W2z8FnYdFh47/IBtub0AmltHDtQcGEgMUagXLry9n/uX55JTkML7ReN5t/C4ATVw6YymIOfrw0MtbgFiiiWcxg4QpE1HllddAKSgswmj9WuSlJWzuOYgvu/VDoVe99L2JiYlWjZqK6tRUhI1rA3LTIlA/86Ye0KsjCAou7zxd++t8RHBwMMuXL2f9+vU1EvBKispGUaLCI6Bqd75aLWBoImPJkiU4Ozuzbt06OnXuwIffjuH7bZ8w9j2NNyoiIoLAwEBWrlxJ8+bNcXZw47XW75ObVcCGH7dz6Ltwrl+4WzbuuXPnmHXuHB0jIzGxs9Pa8lMoFHz00Uc0atQIuVyu0SkxMyMvKx0TuTm5xUpiYx7yzTffEBYWxi+//MLPP/+Mubl52dbgs7iauwEQ017zkJVnlRAXUb2mi1xfzkfdNO/dl2LtmLt9PcWl5Ytb/q/dT7Q0M+e7eycYP6dnmaptfHw8W7ZsoW7dupiZuTCsxzImj1nLvr0HSU1No6RYyebVE7nfXMWq7QOghp4fiaUbVmRTWpRffeM/iYSsIkwMpJgYPF+5iL8jOoNFh47/GNeSr7E6dDVjfcfybadvOff6OVo7tCajOINdkbtwNnZmasDUsvYSsYTuFg04qkhHXZT90tYhtnaizpIvUOaWkPzu6+XOZ8TGYZOZzodTPmL1oGGcN1Kz8Nyfl3lRt1kTBHUBD0K0t0mK8jXaJZkJz1/Q7vz586SmpuLi4lK2TRUTE8P777+Pm5tbufZnNmqCaZv2ci137jGCIKBWChhb6LNv3z6aNWvG0KFDsbW1JSAggF9//bWsbUmJ5hoex/T0Ht0MsUiMTE+GwiYekZ6Ky7sjUSiUgGZLr2WnTnzo7q65B1lZZWMVFhZy/fp1PvjgA+ysrFjcyQZVUQ4Hdm7Gza8JXvr6fJidQK+uXahbty6HDx8u2wJTKpXlruPqlXOkBWq+V2dvD+6ZSqhTIiBac5vzO++Wa/8sE7v15t7nXQDYeMOWa1Eh5dpIxFJ+7HsYG6mamdeWkpqaVO24jxncYxnTHDqzoiSWvSc/qFEfuZ0HAOnxtc08e3kUKVRIxCKUlWyV/RPRGSw6dPyHuJl2kymnptDUrimT/J8ULVzZbSX1LetjK7dlz8A95bwAvRqOJEUq4VbIupe6Hv32r2Ld15/coIflsobqONdBKZHQLS+blda2NMuDNZJCrjysfZXlZ+vUVIRvh2aAmHsXnsSxKEsVHF3xBTIDGzq8MajW8z5m5MiR3Lp1i5CQkLKPo6MjH3zwAUOGDKF58+aYmJhga2vLoEGDuHtXU2Pn2e0gQRDo3bs3IpGIP37fBoCZjSEPHjxg5cqVeHl5cfToUSZNmsS0adPYsEETaOrj44OLiwuzZ88mKysLUytD8t2DyMpNIycvmzZD3REKDFk//zg7V52hY/vOfPHFF/Sdp6kQnXj+SQkGo4J0jrW+ytHVS+kf4M7/2hXiaSkmtUCA1HRuj26LVVoJV3q1Y/eOLRw7dqws/kMq1Y5CuBkUiONuEQ1CNHV5nFzdcR3mzQOpxpPhFJTGnVuakgLpKfncuhJfYXyLgZ6c9q4aI2TRodskZJQPJjeQGfOhgRcC0PVwDxptaMTCo5/X6Psb3305A/Xs+DThKN3XNqTjOl9Grwtgw8G3CQ/fS8S9vdy7s4Ow0D8IubmB1KIQggz0SY+/V/3gfxKdvW3ILlQQEpf9l63hZaOLYdGh4z9CaFooE49PxNvCmx+6/IBU/OS/v0QsYVv/bZX2DfDoic2FWRx5cIDGrWe83IXpaWJERHJtRVeJkREioMeGn/H+aBqtHc1pfOs+N9LyaOn+8qXG5aZGGJg4k3j/SfyLUqlEUBfj3qQ/1s6VB7+CJtskMjKy7OeHDx8SEhKCpaUlLi4uWD2T/SKTybC3t+fIkSNMnjyZ5s2bo1QqmfneB/wY/CG/fXuw3BzLli0rMyZz0jTbJ5aORqjVapo1a1ZWsTggIICwsDBWrVrF6NGjkclk7Nq1i3HjxmFpaYlEIqFbt2707t0bQRAIaF+PuIfJxAYqSUpX8tvDU4xb0IN6r78GI9+k9PadsjUofhrIjnAFt8JDCXrbCBCh0LMBUnB4+DVufTdwy68NyhmLeHvUaNZu3sikydPLXYtKocRqp0YnJLZjIRI9GaLUZOZ/9hGHDx+msLCQOiYOLE+aTVyAP/WSi7kSfo4J8ce4/+A2mZmZHNpzBsltKSJnU2b2akXW7iuEpdpz6nYwIzuUTxs31Stmvn5D5pVosn/+SN5OtxtdaBFQdYkHkUjE/FcP0uLC50RnP0AmEnM/P5bv0i6jSi8v2geAgx0j0q/gx4vV7npeGtUxQyIWcS85j2Zu/w5pfp3BokPHf4CbaTeZdHwSXhZerOi2AkNZ7eTxJWIJPUy9OZZ9hw9LCxHrvZi8/tMYNmsOOwJJnzcZmy9/1jqX0KwlLlcuce7QUTr06YlJsZqrJflMfGmza2Pr3oDY0FOolEokUikGhnKMrbyICjpLccHrGBhVLOIGcO3aNTp37lz288yZMwEYPXo069evr7TfkSPa6rBje8zi1NmuyJyytY6HhITw7bffcu3aNRwcHMjLLMYIsHExwcHBgQYNtCs6169fn507n6QYN23alJCQEHJycigtLcXGxoaWLVvSrFkzAAaM6gCjIOjMba5sSWbjV8fx19c82NX6T647vTCG944Uc3ykIQZSEcVKgejUbLxsTDAzEFFw9GuaL7hI60++ZoiRCbNGjcHDrzGJidpej6snT+GMnNyuerTp3p6srCwCAgLo3Lkzhw8fxsbGhu2bz2AWK0eZXYoMEYWKYrys6zNg0BA+/nQGiYei6GnhBbezEdr68l43L97enIeigq0nAKUkG2+b5uyt+zkbL6xlu+ognwXNZ73zb1hb2CGWVL7pIJHpM6Dzl1rHklNukpYVhQqQimVIJTKkYj2kEhmDjs/mpvjFVJ1fBKlEjJGehPySiu/FPxGdwaJDx7+cmNwY3jn2Dj6WPqzotgIjmVH1nSqgV8M32RT4KddvrcfHZ1SV3oTMzExiY2PLHlLh4ZqYjMcF555GPnAy1scPkL7zLIYdd2LU40nastrXF65cQmxiilgspnGJhDBpzVR6nwevFk2JvXWY+1fCqN+2MQABvfpwftMybp28QosB7Svt26lTp1ql41aWQfXgrmZro47Lk/tUWFjIG2+8wU8//VR2/wqySjACLOsY0bZt27J7/Jj79+/j6lo+BuZxpk5ERATXrl1jwYIFWuebd2pIdkoh90/nkX1X423ynDgRVVYaQn4mgQ9lpBYINPmlUBNH8+iSI4pLkH4OOf9L5YcffkAkNyfQRolpbBHvZSRz4ak5ShWliK/kEWmTRafurwFoBQ4/ZvRb1uQtv0FmqRoQ8YpvT14BIuM1v1dOT/0qKJVq6tfxxFh2gR/OCYztLGhtbQpqAaU0Fz2JBR5u9ZjrthjH7Q4sZzVdD/agj14XlgxfXuF3Uhn2dv7Y2/lXeE5PZEtaUXKtxnvZyCRiFEpdDIsOHTr+Iaz4dgWhc0LZNnQb7nXcGTRokNbDLTMzk6lTp+Lt7Y1cLsfFxYVp06aRk6MtxOXn1Q87NRyJ2MO1a9cICAggICAA0HgTAgICmDt3LgD79u0jICCAvn37AvD6668TEBDAqlWrKlyj9VdbMKwjIXH2HJQpmofR7WvXcVvzC/f8m9KmvSbt2c1In3RpzY2C2tKgXQAg5ebxM+Rna2Jqbp+9BCJ93Pw9/rR5H/MwLI1t536gkXcTrYymGTNm0KZNGwYOHFh2rChfgUgsQiqVMGPGDAIDA1m4cCGRkZFs3ryZX375hcmTJ5e13759O2fOnOHBgwfs3buX7t27M2jQIHr06FFuHW5t6wGQa+qmWdeSz5As90S6pgU9fZSETjLi/PyxdOrchXr16tG4cWPefPNNgsbaoifN5+jRowQGBhJ6N5KgomJev6cJqm3apAlvvjmCa5fOUafIFqfuT/RoKgoc3ndgC+ld65AnExFmLSP8UUmcTH3No6uQJ78LaiAzQsWCfqZkFRsTlRytdU3qolIEaQlSgydpvr06DCr796HSU1y/Vcn2znNgKrMhV1FxyYDHCIJAcXExV8MimP/DOj5a+D2zFi3n98MX+WTZOuYsX0t27vNlGpUoVWQWlmJj8u+oIwQ6D4sOHf96bl65ScMBDXGp78LcVnP5+OOP6dGjB3fu3MHIyIjExEQSExP55ptvaNCgATExMUycOJHExER27NhRNo5YLKGhgS1bS5OY3bZ1ld6EMWPGMGbMmBqvUWRohuPylTwc8TaJE14n6X9fYzp+DEX6BvTesBrpI20NVyN9CkuKSckpxs6sZiq2tUFPro+hhRsJd0/w84QT2LjWIze9AJHYApnB83mmasO7E94lKTOawKBLZcf27dvHqVOnuHFDuzhjSaESmaXmwd28eXN2797N7Nmz+fzzz3F3d2fZsmWMGDGirH1SUhIzZ84kJSUFBwcHRo0axZw5c8qtQRAEfl91EwsR2E0bCAc+R99W48ooMOuDWj8J91c/4c0vV5CSksKFCxcYOnQoVlZWeJk1oKg0mPibl/Hy8mL58uXI5XKi7ocxfsJUvrF3wCztAZbHVMSYptCm0ZPYkceBwzNnzuTjjz8mKCiIadOmaeJw5o/m+PY7eAdnAKCw13wXhmh+L+7LRah/u42PUkRSHwsgnbiMRDwd3MvGL83TZDrJDJ8UwnSyc2V7+z/YcGkN10tuMvrG28xOmcEb3d+q/Zf3iGKFgpjsNPRE+hgWqPnt4Dly8/IpKCigpKgQRXEhKkUxIkUJEnUpYp54QESCFAORkqgrx3mcjLxk5QY+f38iMmnt6gHdis9BEMDH4d+jw6IzWHT8LSiNiSFuwkQcvliA4aM9dR0vh+82fcewA8OwcbThqugqK35dgVsdN4KDg+nQoQO+vr5asQ5169blyy+/5M0330SpVGpldpwqTQVApSxEInu5b24y3w44ThtK3Nc7MR0/BgCTVau05PW7u1vxxd1s/ghLZHrbP8fj4d2qAzcOa7a70mI0dXhEYksOrzzHG58N+FPmBE2xxiu3zvLJyJ/w8nlybadOnSIqKgpzc3Ot9j/s+gRvZ3/eXqapC9SvXz/69au8MOW0adNqJFq37WAk5kl5qLxLkdtogjXjDeSEJKeTWppEZ8l1en+4kPCISA4cOIBKpaK0tJSCggJkiw5y8R0bbiXkAVn06dNHa+yCHk0ZWNIaPZUhpk2NtLZsqgscVic+5Wkw1PxOxkkEGgJqSwN8EjRByBeOZaEnLqWxm7bmTnG+JttI31Bb28bHw5dFHt9xJ+oWc8/OYWXsakoOlzCml6ZAZXJeFiuvHuLjjq+h/9T/hX13r7Dh1m5ySrMoUGZRrM5FKcpFEOcjEgm45LnQKb05D9JPoRDElIpkqMR6CFIDxHqmyIzlyOSGGBoZYWlmSufGntR1tOJGZAI5+QU0cHPgzPVwws4eYMHPW5j/7hs10vB5zKHQJGxN9PGrU7FY3z+RWhksK1euZOXKlWV7rw0bNmTu3Ln07t2b6Oho3N3dK+y3bds2hg4dWuG5MWPGlKXePaZnz57lAtF0/HsRBIG4Se9SGh1NzJsjcVqxApMunavvqKNGPM4Guph4kYuJF8my1bxpWlpWnjmQk5ODqamplrES9eAEAO0MHNCTW1TW9YUwfmsBegf3U3qnFOnOXXg1rK913tvBFO8rAruluUz/U1YAxYWPAiNEhtRt6kfMrRuIJOZkJhkSfSsaNz+3lzqfIAhMnTqVndt3MbXfN7Tprl0nadasWYwfP17rWKNGjXilzSQ6t+v+UteSnl3Eg8OxRBdG8MtHM+AjzfGlB+6xFBjtf4l6nfQ5efoMAI0bNy7re/nyZUaMGEFbOyOEeVKYmwlijVfg8fOhz7TPSDpwBNdCUB2Jh6fEY6sLHG471p8LG25hnVSErbfmd1fpbgp5YJBSSJIY8vRENC/WJ8IpBgtj7Qd1Sb7G2DYwqzjbq0FdP77S+4bFxxawNHUFaTvT+PDVucw7s4pLmZvZtWkxclU9JvpNoJdXcz65PB1EKgxxwlBijq3cGSsDK2wMrbA3tiHlXhaCEMfUmR9gaWJYoQJvRQR4PpHSH9alGenpaaTeucKa/ecZP6BDjcZIzS1my9U4xrR1q/G8/wRqZbA4OTmxePFivLy8EASBDRs2MHDgQG7cuIGPjw9JSdpiPL/88gtff/11lRLeAL169dIKtNLX//fsuemonpw9eyl98ADDFi0ovHqVpNmzMb58CZFYF2L1MvCy8GJF1xVMOzUNhUrBge8O0LZt20pVX9PT01mwYAHvvPOO1vGNV5ZgqRb4ftDuP2+xIhGlHUwobmNEwDPGymO6m5qwQsjnblIu9f8Ed7dEonHGv/Lx57j5+QBQUlDI6vePcnL9Dd761rVWb7rVMXnyZDZv3sz/RnyNJM8QB389kpOTMTMzQy6XVxioDGBhZIunl+dLWwfALytvYKSCD78Yzc9/TC87LqjVxN+5jNjQkriz6xHmreKC21TajflCq3/p+T8QiR9lpYifbGG4ubk92UJs0oSU73ajSKlD/tV7GLfQ3OPqAoeNTfXpNVUj1//4pdnF14bCywJuShEpXetARhH+IRmszSq/faIo1RjqUlnlHgcPZy9+GfcbX+38nN/zt+N9riH3szRramIyjNvZV1gaOosd99shiIrZ2mcvDe1cKhzr56QTJInisDI1fKHfl5H9OvP17avkZKbXuM/WoDjEIpjYse5zz/t3pFZPhP79+9OnTx+8vLyoV68eX375JcbGxgQGBiKRSMr+Yz3+7N69m2HDhmFsbFzluPr6+lr9LCz+nLc3HX8/FCmppCxahNnAAbj+pvG0qXJyyD9z5q9d2L+M9k7ted3ndbL/yCb2fixbtmypsF1ubi59+/alQYMGfPbZZ2XH70YeZldJEuPsOyDT//NiOSJvHqB+dig5DbtV2ubdli4YlwoMvhHJTxceUKhQsuz8Ax6k5nM7MYcSZfnihrUhPysZkGJm++RNXN/IkIbtTSguNOP6kZAXGv9ZVq5cSU5ODnNWvMPHvw/Fva4LDg4ObN26tdq+FnYvL7381KU4TGKKMG5iRd262n+DRWIxzr5tqeNRn1Zjl5CNKSrlM9laKgV6JyciM1RRlFm1HLzVWxrPUPbOW2XHahI4nJmZSUhICHfuaHRh8opTiGwjcK+lAU27e9C6nyelqBlpWL5ys1mdRgCkR1ZfYmHmwI9ppgrg04efkS4E4yztyoYhczjy+ibEgiFxitM4STtVaqwAPLZRXlRpduWm3YhFAp3bNK1xnyO3k+nsY4uZ/N8jyw8vkCWkUqnYsmULBQUFtG7dutz54OBgQkJCGDduXLVjnTlzBltbW7y9vZk0aRIZGRlVti8pKSE3N1fro+OfhyAIJM+fj0hfD7vZs1GkpJadk/tXnCqo4/m4lnyNbz/5lvyb+Zw+fRonJ6dybfLy8ujVqxcmJibs3r0bmezJH7tjtzdioRZ4o+s3f8r6VCoFd0IO4LBvPOHGXrTuMbPStpZG+uzyr4u7SswCRS4eF8JYrMylze1IuoY/ZMih0Er7VkZ6fCo/jJ3A+v99RvSNY9i4t8HCXvuh3eH1zkikqVzdH19WJfllIAgCUddT+HHCSQL3RCEIAoIgVBm0HHomDn/3dlg5lX8ZLM7OR1WiqNUaikqUXNoaQaGBmFFjG1XbPl1ig7xQW1dFlRpd9m+1fuXFEgGkZsZIrVJA5ED+ZY3Wy+PA4T/++ANfX18WLFhQLnC4ouyzvgM7ceGmRmRPbqyPxDQdf30bVCrtmkKmdeojL/QiJaX6mlhSqZQZzRdTnNIXVYEHU5trinlaG5qxvNNKWpi/wc/9PqlyDPEjD7GqFqnuFaESabxFDxJSq2mpIS6zkNuJufTyLe+V+6dTa4MlNDQUY2Nj9PX1mThxIrt37y637wiwZs0a6tevT5s2FVdhfUyvXr347bffOHnyJEuWLOHs2bP07t27whLwj1m0aBFmZmZlH2dn50rb6vj7knvgIPmnTuEwbx5iY2Oiumneqt337Eb6jCqojuejVFXKxjsb6TuqLwU3Crh49mKFsWa5ubn06NEDPT099u3bpxXoChCaE0kjsSHSlygY9zSBuz+hwZ4RGKmKMBq5Df0KKio/ja+jGQf7+NE5T4y8VPuBUPIc3veSgiJKCxPIiLuGgYkjQz+ZXK6NWCKh/dB6qFRyTq4/V/tJqiDkZBwAjXvU7G9ZZpKm0ratq7Yw2YWv9rNm1lVOzN1RUbdK+eXXm5iVCHQZ5YNMVn02SobcHbN87bpOytuae1Jg9Tqyt9ZWO4b1270QVKVk7X5So6lfv36EhoZSXFzM3bt3efvtt7X6jBkzpsyge/rztDfQsJU1BvHuPNy4GbVa27thbtCaPOlNVAXlCyQ+y407mSgz23Np+BaubN6PSCRCJBLRpa4fawd9TM/W2uq4ly9fpkuXLhgZGWFqaspXn0xHoVCgVr+YwfJqD808yenlvUYVcSQsGT2pmM7eVRuN/0RqbbB4e3sTEhLClStXmDRpEqNHjy5zzz2mqKiIzZs318i78vrrrzNgwAAaNWrEoEGDOHDgAEFBQZypYktg9uzZ5OTklH3i4uJqexk6/mKU6emkfPEFpn36oO/lxT3fRggKBXru7hj4+PzVy/vHkBEfh6oSVc+UghQG7R3Ee1PfI+dyDru37cbK3Irk5GSSk5MpKtJkVTw2VgoKClizZg25ubllbVQqFYrCTEJV+fhbVBxTUhsu373IhS3TuBl6vOyYSqXE995mAG5ZN8fJrmbZP2KJmE39fLnfzZ+lxla8KzaieaGYVEGFspbbQnW8XdE3dkYsMeat775GblLxtlfDjk0wNksh8noJOel5FbapLYIgkPIwF1MbOfo1dOE/luU3MteO97sVpTE0I3Ps2DZuPVG/HyLubBjFGZV7oW/dS4ewbFSeJjRv4lCj+VVWXjiURmtXti7WGFHSLm+jV79VtWNIzY1RySMQiY2J/mwfKmVJjeauDvsunRB3LsLgrhepF89qnZNLXFDLCsiJvV3tOMfupeCnr4e5haZkRMOGDUlKSir7XLjwRArv8uXL9OrVix49enD16lWCgoLo2m8wItGLFx/MKdDcFwvTmm3FHrmdTAcvG4z0/31JwLU2WPT09PD09KRp06YsWrQIf39/li/XVgfcsWMHhYWFjBo1qtYL8vDwwNraWktF81n09fUxNTXV+uj4Z5H8+QKQSLCb8ymZmzYBYP/ZPOoert5d+19HUKu5e/40mz99n/XvT+Lito0Vttv/YD9xeXFknsqkJL+Enl174uDgUPZ5HCNx/fp1rly5QmhoKJ6enlpt4uLiCLm5gUKxmLb+Y15o3TeiQ2m04xXa3dtAg12vkZWtUQG9GrQLM2Ue1/quxWtC5d//uXPn6N+/P46OjohEIvbs2YNYLEYmEfNGc2d8M0JJWDiNsJFdkcmk7D1xsdwYEyZMoG7dusjlcmxsbBg4cCBhoWGse38eJflxuDfpjtyk6pi7nu+0RxDUHFl1vsp2NSXyWipqlYB3q5q78POzSpBIxWXBnCV5hYT/cQpBJMFOnEI9y3QKBCOOXDRg3x+pbJ22izsbjpcbR6VSs3dNGCVSEeMmNq7x/KZuAZhSQFz0/bJjgujR40SoubFYmLwdAGmxBTF/bEdZUlTjvlXh2LMHxbZRFAdpG2rLd33C2+PjcWvRCVNTU1q3bs3hw4fLznfq1KnMk7L5s27s+7wHEydqCkFIpVKtWEtra+uyfjNmzGDatGnMmjWLhg0b4u3tTav2XZBKpSjVL2awbNuzn2L0GNCucbVtU/OKCY7Jove/cDsIXoLSrVqtLitd/pg1a9YwYMAAbGxsKulVOfHx8WRkZODgUDNLX8c/j9wjR8g7dgz7OZ8itbBAmZaGgb8fFq+//lcv7W+PIAicWLOCQz9+S1Ge5o/xg+Cr5dpdTLjIipAV9HDtgUqtqtCN/jhG4rGkfEUfNzc3LsSdwUoN3q6dXmTh6O99l2wDG5LfCUQsCARe0RRbFO7tJ9zIg6bNhiCXVV6rp6CgAH9/f3766adKz3fv0gGLNpoXpUVB0eXaNG3alHXr1nH37l2OHj2KIAh0bt+B9NhgGnYezYAZY6u9FAdPFxzc80iL0yf2dkINLr5qbp16tB3UteZb20V5pejJn2zdnFqwjxOPnAnm+oV0XziMkb8MoYF9JvrKfPKNnThzUUBZoG0QbNp1D8s8Nb79XDExrvzeP4uLnya9NmPXB+Rmp3P76klEco0HQMiv2daFWq1GuJlErkJjcOvddiVmVe22sqoc30WJJM0MRdGT55O1jZjxb1sSdO0a165do0uXLgwcOJDbt594XN5++22SkpJ4ffZOBry/ja+++grQlDJwdHTEw8ODESNGEBur2cpKTU3lypUr2Nra0qZNG+zs7OjYsSORj8oaCKrn3xISBAH94iwUBhbEpmSSlavt1Tt1PZwvV23iVkQMADfjNPe+jee/c0u9Vj6j2bNn07t3b1xcXMjLy2Pz5s2cOXOGo0ePlrWJjIzk3LlzHDpU8ZuSj48PixYtYvDgweTn5zN//nxeeeUV7O3tiYqK4sMPP8TT05OePXtW2F/HPxtlZibJny/ApHt3THr1AkDfy4u8w0couHIVo5Yt/uIV/r05veEXbp04Qo8J02jUpQcRQZfZ982XZMTHYuWkyVi4mnSV906/R1vHtixuvxix6MXeSy4WxNBGz+aFxgm8cZBWWbe43n8DTRzrE2HRkB6X53FGz4A6meGk2fpXm/rZu3fvKiUS2g14hTmLTiN30wiEFScXlGvzdKq2m5sbMyZNZ//+/Uhsfek1sWKtqIroNakX6z88wYl11xn7teNzp60KaoHUmDzMbOXoGdTsz3H8uVsU5Skws9Yn8UIoxQkpRGeb4ySLp2F3T5w7aK5DKpXQ+bNX6Qxc+e4A18INCfx2Pw1fa42FtzPZeSUknU5CZKVH7561E+EztXIgyKQrzfNOwrK6NAQKMEQfIPUOUF7u/1ny7l5AnCNg2qkRpn4O5KxMQj/JjeKsVAwsXiz+Ij8zF8Nr3ij1coh6eBafBj24efg9WrfTxyKmO97e3gB8+eWXrFy5ksDAQBo21JQJMDQ0xN7eHjMTS+7nFGJqakrLli1Zv3493t7eJCUlMX/+fNq3b09YWBgPHmhieT777DO++eYbGjduzG+//cbij2cyceKEF/KwiEQiSgysMClOYftvvwJQggyZlRPz3n2TAwcPYqrKZefGCHaJoNC5JRaGMuxNX74K9N+BWv0FSk1NZdSoUXh7e9O1a1eCgoI4evQo3bs/ES9au3YtTk5OFdanAE0RtMc1SiQSCbdu3WLAgAHUq1ePcePG0bRpU86fP6/TYvmXkvLFl6BSYT9vbtkfeZNHFW5jR4+m4Ep5b4EODYn373Lj8H78u/ehURfN/y97Dy8AspI1GkhR2VFMOTWFJrZN+KbTN8gkL5bWmJ4ZSbhYRRu751cfVimKsTizgNsm3jQO0CjFZngPRIKaTmc/wCs3XEuz43mYdOQ2PVdqbwFl55SQnFreaCk7n5XFFx99gKWRISM+LK8A+9lnn5VtDzz++DyKrzIyM8O7pT5F+UbcDwwv17emRFxLQa0W8GldvUdZEAQi9gayd7NGj6MwJZvdG9M4fFqMWqxHw2518RzUBn3L8lvkivxCAG4mWnNjvcYVE3Y7HWO1iDYDPMr+Ly5atIjmzZtjYmKCra1tubpTAMXFxUyePJleC89ivDCXV7YVclTaBSM0c8ju/lKja888uxdBLGDTcSgmrp4YjtF4aOLXHK6mpzYlBcXc3nuVsJVnubH0OIU5BdxfdwWAVPe9JCTt5uLh7qTrHwDAq9f/gMozXTdt2oS1tTVbl40l8uw6CgsL6d27N0OHDsXPz4+ePXty6NAhsrOz2bZtW1lg74QJExg7diwBAQF89913ODi5cOPGDZQvGHQ7e/JY3Jt20lyr2AADOw/EGQ9ZsGABpqpcvFp1x9TdDwDDuCs0EMW/VJ2gvxO18rCsWbOm2jYLFy4sk1auiKfrj8jlci3vjI5/N3knTpB76BCOX3+F9Kn9X4P69XH8+msSP/iA2NGjsZ31EVa1qEPzXyAjIY79Sxdh71mPLm9NKDuem6ZJdTS3taNQUcjMMzOpY1yHZZ2XoS95caP/zLUfAWj9AvEroX9MpH5eFDdf3VmW6tmix/vc8+pCTloE4uu/Yd2q+gD9yihUqjh8JhqAAZ3dmendEPdVUCqCVkvPEDG/FzL9JwbRihUr+PDDDykoKMDGxIhVS37GztWxwrEbNmzIiRMnyn5+Wvm345s9CL96nGuHb+Hd+vkCxW+djgfAr0v5NPNnOfz+Zh4WagwbZ6KJk7gBYFUUQ73mtngM7FRpX6/ejYlZFUy21K5MICQ5SSN1X6fOk5ids2fPMnnyZJo3b45SqSxXdwo08RoHDx5k+/btGBkZMn36DD4/nIrD4KH45W+npG5/apJLVnQ1GLWnIXqmGr0bS58mZLj9ijzah/hZ5xH1z6JO26pLIWTHpxO/+jrmxXKKRErMBQMil17AtkSzguwSQySiAxQ/+q/QtskVIuKSaO1lTHFxMcbGxlqZrm+88Qaurq44Ojoyc+E2zh1cyZtvvsmuXbu05jU3N6devXpERkbSpUsXgHLZsk4uruRmpSG8YAyLhakRo/t3Ir6VP3WszRGJRCxev5espGjad+pCv9aaNPTcgt789PNqmv85iXx/C/59YcQ6/paosrNJ+mw+xp07Y1pBvROz/v0w7tyZ+82akbp4yb/aYFGUFJOXkY6lY/UPKYDMxHjWz5yEhaMTgz6Yg/gpb4T+o4dIamIs395dQFJBElv6bsFQ9uJ/tYoK0lkVf5wuelZY2ZSXLqgJN69spfGD3QQ2fZ9WDTuWHReLxfjUbQp1m0KrF4tdOheXCUAddzOWdfcpiy2w0JdSAHjPPcKDJX3L2g/qO5CswJskJsZzPuIOi9d+R/9xr5ZL5YYngZYVIdPTw8KuhKxkOUV5RchN5LVat6AWSIvJw9xOjl4NMjoyc6UghTenumDo3Jx7m84QFpxLz1ldsKjvWmVfu2b1GLG6Hrsn/kZMmglqlZqHdzJRysDd6Yny67MlUdavX4+trW1Z3amcnBzWrFnD5s2byx7U69ato379+hyzdiUvtQGt5y6q9lrUKhVCaCohfvbM7t+f4OBgkpKS2LF1My2jH92f/Rbc23WIxVE/cOJaKBkZGbi7uzNt2jQmTpxIUU4h+T/eRS6SUtzLAq9Ovtw+EITlk+QdvHu+SeRDjWelfYtr6Blb4G1oSkhICDk5OezYsYPRo0dz9uxZGjRooLVl6OGXQZrEmN2bZhEVFUXduk9UY/Pz84mKimLkyJG4ubnh6OhYzhOVlBCHk4PdCwfdPsbJ5oku0KwxA8udNzWSYyBS0rDuv1fmQ6d9ruP/hZRFixBKS7F/5GavCImxESY9eyL5lysdn9u0nnUzJrJ66jhKCivfsgBQlpZy6IdvAej33ocYmWvfG6s6zjg18OXwd18REXWLH7v8iIf5yykK+PnGjqSLRfyv4+Ln6p+UHInziQ8ItWlJi76fvpQ1VUQTG1MkcgkJD3PYHfVEXOv3d1oCoBZBcakm9Tsm7AFHf1iHQUkCHlYipgzsz71799i9u+JyA5UFWj6m7dAABGSsnrGP6JsRtVr3/aBH20Gtqt8OCvzuADlSG+oaJ2HW0BOZqQmNJvVn+OoR1RorT+PkY0GhxIxffrmOXlwhauuqA20fb98/rjsVHByMQqGgW7cnSsQ+Pj64uLhwNyEWy6xszjdvT1Fh1TonOTdPIS4QEHn5agVSS/TkOC1uj9kUzT1ZcHIVZ86Gsuan7wk6eZip705iypQp7Nu3j/iQKM1gPWzx7KQpM9GwX3MUva3IEhVQ0FKOq3tzClI6kRgTgIDGoKxJpitAcrGC+nU13ouPPvqIs2fPEh0dzaVLlxg8eDASiYThw4cjEon44IMP+P7779mxYweRkZHMmTOHhLgYAgICKCipWHbgz6CwsLBaZfl/MjqDRcefTt6ZM+Ts3YfdrFnI7KoOppOYmaHKykKZXvO6Gf80MhM0D72c1BROr698v19RUsyerxeQER/L659/ja1beUNEJBbTZ6pmT759tictHF5O0PLXQV9zwECMhUqNs3PV4o8VkZuTQuGm11CLJNi88lPZVtCfga2xPjc+6grAT+cflh0Xi8Usbl8PgJBwjXr2sZ9XkxkXWNamKD8VQRDKZToCZYGWR44cYeXKlTx8+JD27duTl/ckU8PV153GXQ0QS204uDKOfcsO1HjdoWcebwdV/0acEKExHJqOaFllu5UrV+Ln51cm9/B02u7tq2HMidXENKlu5pJnJmXwG5V7ztRqNdOnT9eqO5WcnIyenl65ytF2dnaoPDWChLYFmZxYWnX4QNbZfQgygaHT5/PFF18wePBgrfMmTp7YzvblWsYNXvXtRcPLNpjvk9A71R1/Pz+uXLmCqFCTPq1vre1NdO/YgEaLeuE9WBN31arVFzyIbsSFXScrvc6Kvv96xgacjtJkDyUkZjB8+HC8vb0ZNmwYVlZWBAYGlmXCTp8+ndmzZzNjxgz8/f05efIkY2ctwdLSkrS86kXqXgb5+fkoFArk8tp5+v5J6AwWHX8qqtxckufOw6hDe8wGD6q2vdW4twDI3rHzT17ZX0dxfgH123em56Tp3D57koirl8q1USkV7Pt2IYnhdxkyax51vCsXbTOxtKbQRY5eRmmlbWrD1ntb+e3ObwBkSMSEBP9cq/6BR7/B+DtvzIozyB2xG3t7r5eyrvz8fEJCQggJCQHg4cOHhISEEBsby/XUPFRFebgok8uELMPDw7E3zkCVl8XMP0KYsmgvp8PvEZ+Zg569P0Wm1vxy9DRyuQF9+vQpN19VgZZP025YJ16b448glJIYWbOHk1qtJjUmD3M7Q634msrIK9HHwzARm4Cqix0+LlAbHBxcLm03MSGNcJmK63pK9BqZ8+mSjjTwqrxi9+TJkwkLC6u07tSz2Lk6YrhzPwCmYcFlx4sKi9n9ybc8uHG37Fjx7ouo6hmhZ1i5N1XPzIIOvXpy/MFZkvLSEASBqxFRhN++h79MhjhE81Jj7Fi1R9bW3YFGNl5cfRDC/2a8z7lz54iOjiY0NJTZs2dz5swZRowYQVRUFAsWLCA4OJjo6Gha1klBOPY9Zs6+iDp+SGJiIiUlJcTHx7NlyxatLSLQVNWOi4ujoKCAS5cu0a2DJpDX1uT/J4Hk7t27iEQivLxezv+3vyO6GBYdfyopX32FuqAAh/nzaxS5ri7WvOnov+QqtH8XCrKzSI15QJM+A2jQoQvXD+1l37cLefundZhaa97WFKUl7P36C+LvhjFk1mc4N/SrdlwzZyfygsJRq9Uv5M24lHCJL698ibHMmIP9dzJj92DGhf7Al1mR9Or2dbX9BbWKpoELiTTxRG/YBjycGz73Wp7l2rVrdH6UUQYwc6am3tDo0aPp/NFCiiKvsOH7ZWx4dP71R7o+9TqNIrHlMGLjc5BERZKZEE7J2StYWZjjYCDj5y8/xda2+jTapwMtn8W6jhVSWT4ikYStC7aSGR/C+B8+R6ZXcZZWRFAKglrAp3X1Al+Jx69QILPEsWH1sRD9+/fX+vnptN0OTdshXIlkaFc5vQY2qXKcKVOmcODAAc6dO6dVd8re3p7S0lKys7O1vCwpKSnY29vj7ONOOGAbchm1WkAsFnFx8z58dq7mevhdPHasJv3iDgSJgKgGGWw//vgT77zzDi1WvIJUKkUswJJeH9KmuCs8sg3lxtXHa3V5pSe3V/1EaNBNduzeSVJSEmZmZvj5+ZVlusbFxXHixAmWLVtGQUEBzs7OjB4znDr1BvJDZDZqlRqxpOb/t/QelZf4/8jXEQSB69ev4+HhURYc/W9E52HR8aeRf+EiOTt2YvvRh8hqKASoiNeIaBk0qr4A2z+RqOAriBDh0aQ5q1at4oudB/lk11HsHB1p1aoVu7Zt5fuRrxB3O5TBH87DxdcfQRDo3bt3mbprRbh6+WJQKiYivnrJ8cqIyIrg3ZPvIhVL2dJvC5Ymjvw6/Azd5U58kHCE1TteRVBVvR8vEksIqdMFuaoYlzo1z5zJy8tj+vTpuLq6IpfLadOmDUFBQVptKhO4W79+PaPrO+Lefwgusw6QVlSidX73r9/hbyjH1MgE6wHv89nA7tw4GUhcfAIjWjehJC66Rmt8HGhZmailnoEIpcKM5KiHFGaHsmtRxQJ3AKGnNYJzNdkOCjkZh1RZSMORnWq0zsc8m7ar9+iv/b34rEr7CILAlClT2L17N6dOnSpXd6pp06bIZDJOnnyyvRIeHk5sbCytW7dGLJGQ2v81AE627kLyw7iyoqYiQSDr1knSxs1BnFSM5FYuSkXVyrY//PADgYGB7Nu3j+DgYL7+5is+Pf4d56OvlbV5bKAvXrwYkUjE9OnTtca4fPkyQ0YM5cvFCzkbdAFnJyeys7NJTU3lxIkTZbIczs7OnD17loyMDIqLi4mIiOCrr76ijr0VSiA/p3ZbO4/fG160llBNiI+PJykpqcJCxP8mdAaLjj8FVX4BSXPnYNSmNeZDay7IpUjSyLVL/6WBt4n372Hh4IjcxBQnJyeW/fAjp48e4b1ubfG0sWTY8DdIzS9g0Aef4urXGIBly5ZV653yb6QpkHbr9oUq2z1LQl4CU09OpfuO7ryy7xXUgpp1PdfhaqoJ5NSTyVk07DATrFuwvCCc+Zs6oyiq/IEHYNxuGs6FcWQtcic19WGVbR8zfvx4jh8/zu+//05oaCg9evSgW7duJCTUXElWHxF65vpYG2gHktax1efDAU4UivXwKohCJNKnjrcrUpkMU2sb0mIqXuP//ve/SgMtK8LGReMxUCsfBf5WIrSnVqtJjX20HaRX9XbQg1VbiM40pY48A6lezRzilRWoPXpWo7w6qHvlldAnT57Mxo0b2bx5MyYmJuXqTpmZmTFu3DhmzpzJ6dOnCQ4OZuzYsbRu3ZpWrTT1g5QWGskCp5xkUvr2wWSnpk6U1NuHq99ql5EQiysP+i0qKuLjjz9m6dKl9O/fHz8/Pya/O4n+Pl34+eqTbaqcpEyCgoL4+eef8fPT9kY+XePn2M6DdH/rAwICutbKC2lhoskeexhbMwXfx4geff9q/nyD5ebNm5iamuLh8XIC7v+u6AwWHX8Kqd98jSo7B/vPF9RKxEhdqBGfEkpfTjzG3w1XvwAyE+PJSIijf//+9OnTh1adu2BjYkyAoRi5vh5uvYfgHqAJGAwJCeHbb79l7dqqq9+61qlHqZ5AbMSdCs/fCzyMslQ7sFChUvD6wdc5E3+G3JJc6lnUY2mnpfjbaj/QRCIRU/quYYHncPaqs5j8RxfyMqMqXUt9nw7cqDsYK0UOCZHl6/k8S1FRETt37uSrr76iQ4cOeHp68tlnn+Hp6cnKlSur7Q+gUKqIT8ijgZu59nVHxtLii2OM2BKBkVDMiq8/YPK6zZjbaqTL3fyboFKUkhZb3miJj4+vMtDyWfpM6kOnN8wws9Y83ONvHyMyTKeqwgAA3eJJREFUuLzH6/7VVAS1QP021W8HXT8ShVoopNv8QdW2fUxlBWpVgEylwNWzcq/OypUrycnJoVOnThXWnQL47rvv6NevH6+88godOnTA3t5eS6ek00fv8vA1TXqwnlqJVaHGwLVv3wqXK08Cng1mDUBcRVVuhUKBQqHQMi4kegboe+sh+j/2zjo6ijNs+7+VuCsRSAKEJEhwdw1WpEgKRUtbaHFoKVCgQIECLVakWHFroUiBFguugSSEBEtCXAlxz9p8fyzZsMSBvu/7tVzn5ByYeWxmd2fu55brclA/UzJFeUQk3GLEiBFs374di1c2OhnZeXw4chx1O/alVts+zLidQbBZa04atUQQKv/q69CmOlYiMatPP6m48SsQv3zsva4YHR8fz8iRI7GyssLAwABPT0/8/Pw01zx79mw8PT0xMjLCwcGB0aNHk5CQUOY8KpWKR48e4enp+Y8mt/9fwL/76t7jfwW5d+6Q8dvv2H79FbrVHavU16CR+mWZF3D/n1ja/zrqtGyLgYkpwReL+S5EIhEuTVsSkpGLTKmiU1d1xUteXh4ff/wxmzZtKpML5NUxlDaGZMeWfLDdOfYLwtiZnJ08CEEQuHbtGn0+6IOxtTE3ht+gZUpLfEf48kf/P+jk0KnMB+bAdt+ypcV8HorkjD4xkH171tCqVSsMDAywsLBg4MCBmjnzLdXU5zU9Old4TxQKBUqlsgQPioGBgZYibnk4FpYMchUfNigO16iUSqbsvE7hy1380u7VsTQzQc+gOAmykZeanyXwXEkpkd9++63CRMtXIdGRUr9jM1RKuebYnz/OLtEu+EociMCzS/k8PHFPoogzeERh1q9Iy1CPLg1lle3qmJggl+iwf/3vZfYtS1Nq7Cu8SPr6+mzatIkTJ07QtWtX7ty5g729vSZcKZGI6bN4BqeHjmCSvT2tYmKoF/KUpCx1kuzSFqP5+6f51By7kvXr19O8eXNNKe7jx481idSmpqZ06tSJWbNmceXKFSIjI9m9eze/nzrDBx8O4Fe9ixzRvc34LxbTq1cPrVJrgHVHLvI84imhBaaMHv4Rges+I+ngHAriHnH+WnQV7qeUr1s6cy0nn+iItEr3E720WF4lS01PT6ddu3bo6Ohw5swZHj9+zOrVqzWGVl5eHgEBASxYsICAgACOHTtGSEgI/fuXT6CnUCj+1bkrRXhvsLzHO4UqN5fE+QswbNHijcQMDZs3AyDll1/e9dL+T0Cqo0P9zt15dPUSCplM477/aN73HPa9r8W6OWPGDNq2bcuAASVJokqDaQ0HxC/ytB6QeTkZFKxTV/nUvhbB0bkfkZmVSah+KHaj1EZQv9r9NErINWrU4Mcff6RXr16aB+bTp09p2rQpnp6edG35KeFzkri6MoJPvpxFzz5NePDgATdv3uTmzZsaCvt2H3yLaHEWW7aVriT9KkxMTGjTpg1LliwhISEBpVLJ/v37uX37NomJiZW69l1n1AZuM53iHJufD/kQpjJnVVdrwpb05MMeJUuCbZ1rItXVJfpBQKXmqQzkhQWIpcWhjsc3H2j+rVKpeBGTjUU1Q3QqCPH8tWETSlWR2vCbk48Vle12blOXmnkpLEw0JuJZ3BuPV4SKxCjt3Jzp3KUzMyfNACBimVpEMEPfhCYu6kqW0NBQ/P39yc1V8xHNmzePJk2a8N133wFqo7FFixaMGDGCevXqsWLFCpYtW0br1tVBBA8fPSQxMZHvl8wpMf+JW2rvlsz3EMaNetL983mM6tOB5N/mc/CCb5WutUdHFwBuBSZVuk+RZ/lVB8vKlSupUaMGu3btomXLltSsWRMvLy+NIWxmZsaFCxfw9vZWKz63bs3GjRvx9/cvwQFUBLFYjEQiKeHJ+TfivcHyHu8UyWvXoUhJwX7pEkQv3ZNFL0MHB4dSE0cXLVqEh4cHRkZGWFpb89mLZO7cukXunao9VP5/gVvrdhTkZPPM706Z7vuTJ09y6dIl1q1bV+lxnes0wChfwrNEtes6PyudG8N7Y54uQ7zvZ16M7EH9E8FcuPItBv0MGPPRGAA+/PBDOnXqxOnTp3n+XC0c+PDhQ80Dc/To0Tx//pyQkBBEIhF2do7kRMrQN5Bw1ukGiZnnqVevHkZGRnz//fc8Dgkm8StjTq3qx5QpUyq19n379iEIAo6Ojujp6bF+/XqGDx9eaRe3YbQ6P2Psr7e5fvch41ce4pegPBrrpjPEqxU6OmUbB9ZOLmSmJKNSKis1V0VQqZRIdaT0nLgEgDPr53HwuzUoZHLuX3iGSqnCo235Seh/rtlDTmpxCEKZUz7BYBHmzp1bZtmuq7sTuyZ3RiUSE3D97T2YvXv3LpVDpQijRo3iu+++Y8xEteyCTX4GwVa1SHWwoHP9FgBs3LgRQRC4fPkyoPZAFCVSg7oqadeuXcTHx5Ofn8/Tp0+ZOXMmKpWSR48eceLECXJycrAwdyrxXIm8q5ZUkBXko7y9B+XDs3z2yRjs7Jy5cOMEmRkFLFu2jLZt22JoaFiCW+ZVWFsZ4iaRciOi8vxQ4iKDRSg2JE6ePEnz5s0ZOnQotra2NGnShO3bt5c7TmZmJiKRqMz1KRQKCgoK3ntY3uM9qoI8Pz/S9+/HdsZ0dJ2L2Tcr2om5ubmxceNGgoODuXHjBh59+/J5XCyPFy1ClV9+FcE7W3uWjLNbg8l4nvePzqNUyLmwfRN6RkZYV3cq031/6dIlwsPDMTc3RyqVajRsBg8eTOfOnUsdu4aTmiTtUchdMlITuP6RF9bRGchXz8W9hRcd568nfdIQcnRV2ObrsrjtYkAtWJqYmEhiYiIXLlwAoF27doA6aXH27NmIRCKuX7/OvvP7SKqThFyuIDdNTvj8CLr3mEHzVnWQyWSYmJiQf2MptsYSGgxeXOmHaO3atbl69So5OTnExsZy9+5d5HJ5pZIIk3PzaZHqS/u8+6SKTRh1LJrz6abIxbp880HZCaZFcG/dAQSBUN+K820qQmF+HgXZ2QgqJQ06NaFmU7UrPzHkEps+G8+VnTMpzFhLVtK9MsdIS0zjme8R9X9eJm4qcnMqNX9FArU1alXHoyCF+Y/kjJvyC4e2HqvUzryiTQfAwYMHsbe3x8DAgO7duxMWpmb+LfI0GK+dz6cZOQT+9CmWlhZ8+umn5ORU7rpeR9u2ozAzU1dC5b3Mexs8eDBXr15l/fr1SKVSDGzU6uVLl/3AjRs3cHFxwcvLC896bsiyXnD4TCgymYyhQ4fy5ZdfVjhnl+rmXErJJjEhu8K2gEbd/NUqoYiICDZv3kydOnU4d+4cX375JVOnTmXPnj2ljlFQUMDs2bMZPnw4pqYlRS0B0tLUYaqyzv+b8N5geY93AlV+Pgnz5mHQpAkWI0dqnatoJ/bxxx/TvXt3atWqRf369Vm7cSM5KhXBjx4R0qTp/0gCbvTDFMLvv+Dm0ZIcG+8S98+eJiU6iqELfsDayaXE+SL3/Zw5cwgKCtIQpRWRpa1du5Zdu3aVOvbVS38gIFDNwBw/7z5YJuYiWb+EFl6jNW3aTlmC2NwMJ7mp5kViYWGBnZ0ddnZ2nD6tZmqtX1/NnzJt2jRMTUwY5u2NUW0jvgv7Dl2b4nCH9+TRjP66Ec/EL0hMSmTxogX0mHwYjwOmHDnig0JRNVpyIyMj7O3tSU9P59y5c5UKh13w90dXLuPbyd500ldX6HzhLuL02Lq0bVlxebxnN7Xy9aOrpTOhVgXX9qs/m4bd1UR0g2aPp8XAiQAoCl9o2vn/tZvLe09RmFuyVPbcZvUYnt3H0qOnmldFWcnfwI4dO4iKiqKwsLBE2S6ARCphx9e9GWiSy2N9a+ZG6hF8o+JwWEWbDoC//vqLLVu24Ovri5GRET179qSgoPj6Fn63nMKUWFZtW6PheHlVu6cqkEgkrF27k927v9cYG2vWrKF58+aMGDGCwMBAvv7yEyTGlvj4BlO/fn3WrFlDVlYW4REh1LJ25NCjRBYtWsSMGTPwrASNwhfenugi4qeDgZVao0iTdFtssKhUKpo2bcoPP/xAkyZNGD9+PJ9//jlbtmwp0V8ul+Pt7Y0gCOUmn4eFhSGVSnFycqrUuv5/xnviuPd4J4gZ+wmKhERqbN6CqJzM/4ogk8nYtm0bZqameLzcnWccO/ZG+TCVRdi951zZrxYuiwpK4XlkFtVqvvvdSmbyc27/cYhGXr2pVrM2c+fOpXfv3jg5OZGdnc3Bgwe5cuUK586d0xgQr8PJyakEN0YRVIIK03wZTPwWIx0JZtt/pk6LHiXa6Ur1yFaVNCRkMhn796tzTkQiEfHx8dy7dw87XV0enTlD49p/oGevh2EdNVGXQU0DbjjcZF7LudyxW0bW/SzG1i2kycCh5Jp04tt580hMTGTNmjUV3ptz584hCALu7u48e/aMWbNm4eHhwSeffFJh36cB99A3MqVunTrsXliHqJgEajpXPtlbz9AIA1MzEsNCKm5cDhLDQwnyOYOhmTkdRxavu/1HvchKSSM/K5Omvbvy6Optwu4cI+CvrTy9eYkvt65FVijjz1XbsavlTELIZUQiXbw+H8KjA+qdt6rg3dG7O1a3ZcXCUZzcfZKpT6FAVnEorHfv3vTu3bvUc0U5U0OHDtUYmHv37qVatWrs3/87nTqpuUGC7j/i4KT5NGrdA+PHQSwYNpyxy5ayatWqN7oOExMTatVyJDJSvX5nZ2eMjIywsrKiQYMGNGgAq7Z8yNW/DnHoUC8ePHiAnp4ecXFx/PrdNuY/zueWXzztWlROhNTCypDxDRxY8zCeL5++oI5H6dViRSgKZ76aU2Zvb19C1blu3bocParN7F1krERHR3Pp0qUyvSfZ2dncvXsXV1dXdHQqJuL7/x3vDZb3eGtknDxJdnAQRm7u6NUq/WVaEU6fPs2wYcPIy8vD3t6eCz4+NG/enKd16/Fi46Z/1GC5fjgUlUqg8wh3gi7HcftEOANnNHmnc+RlZXJ85WIMTExo5z0KKHbfl8a6+Sbo2sgLdlwlx0SPxsf+xMS+9B2XjkQXuVAy1HbixAkyMjIAdVx8UOPGAOTK5XhbWnLgM2vqxTfh6C71w9V1mCsCAsvuLmdri1l4OU4k2UDMyFkHEYsl6OnrM2HCBJYvX46eXvn05JmZmcydO5e4uDgsLS0ZPHgwy5Ytq/AhrBQEhKfB6NZtqPEYVcVYKYKNc01iggOr3O9V+P2pvi/Dl6zSyr0Ri8V8MKXY61izsTthbVty7pc15GWEcWD+MpLC7gJKYoIARPT7epm6r676vilL0bp5WxwIfI6FxIxmnXq+1TiRkeqS8EaNisNvZmZm1HVryN9/zcTAUL3xMDAQYTvoIIZ7WyKW2dJR1QUxyzjxwzLs6qufG6mhd0m9lorYUkzNcR9pxhMEoVR6hMzMbCSSsr1PnjVzuHSlkI8//hiRSESDBg345ZdfaNu6Ddu+u8DOC2E09DDj4MGDZGVlYWBgQJMmTfj5559p0aJFifECr/xCxI7tjHk0iVunNpZ7X0Sl5LC0a9euhKpzaGgozq+E0IuMlbCwMC5fvoyVlVWp46tUKg4dOoRKpaJXr17lruXfgvcGy3u8FRQ5OZzYso6sus6M+G7hG4/TpUsXAgMDSUlJYfv27Xh7e+Pr64txly7kXL5MYXg4euWUlL4p5IVK8rPltBlUm/odHDEw0eXMlmBin6RRo27ZOisVIT4jn7UXQhnctDquOtmcXL2MgpwcPlq0Av2XJZw7dpQvEPc6Xt2pvQ6VQoH+RHWlRM3dR8s0VgAcdWy4o5NAbn6W1vEdO3bQu3dvTp8+zU8//UTCS6Xez0aOYNBdPxxsOnLyYTJ6enooFAqm1Z5G78G96Xm0J+ezIlCmyLnfqQ5isdrD1qpVKxQKBVFRUbi7u5d7bd7e3nh7e1fqPryK2xFRWKQnU7fZyIoblwNjC/VLQV5YiE4FxlVpEASByAf+6BubYF5N7RlzcXEhOrpk+ezEiRPZtGkTJraLGNqjI4EnzqNQqXCvZsPgFi3p4j2BOs3V2lESXXX47Z8wWCQSCaaFuWSkZmJtp77+Z48iePYsnl4DOlR6nKQkdeWMmZmZ5lhugQw9wYC0jEJAbbCYmKi/F9nV7mFi2QDb7m0w32pMWhTYpKmvs+CgAjP96qgy1B4llUpFzO+HET0xw6C/MbbNtdclk+Xyal72lStXXlnXPaYN9GVURwfc6hxm+/btXLp0CTc3N8RSCZ81rs53AdH0GzCcsJBHGBkZcf/+ffbv30/37t15/Pgxjo7Fxu/x48e553cXcwsbnubJiIrOwMXZvMz7Upx0W3ysqPLvhx9+wNvbm7t377Jt2za2bVOLoMrlcoYMGUJAQACnT59GqVRq7q+lpSW6usXh2NDQUBISEvjkk0/KTRj+N+F9Dst7vBVur1hCqokhcqmEi6uXv/E4RkZGuLq60rp1a3bs2IFUKmXHjh1YjlFXsqjeMDmvIoT4qh8GDnXMAajZyJpqNU25fTy8ypTaCqUK34hUJh8MoOOPl3l85QIXtqzj0Pyv0dHVY8SyNVjXcK54oDfAg6+mAyDp3g3zCoyDnk1GkpqYz4Yt3wLqHfLff//NhQsXNHwboX7+zLNR6+s4N2tGolzOtu0XCQsLo2fPnri6urJw4UIe3nqI5IWEjfM3okIMra018wQGBiIWiyul0/OmuH33DiqxmM6t3k6l2thKbZw+vvZmeSwPr/ggLyjAs2uxt+LevXuaZOZXE5qHvmR+XvLjciKyC1k8bT4/TJpHocSQ88kpdBxeLMSYo69W3l0U8IToyKg3WltZ+KxTbdJ0jfj4h5Pk56o9biN/vcMXt7OYMHsnP64+Um5CbpEYZWhoKACxsbEaDpXZq3eQIX9Ofoox0dFqXhqJxIbnQfUJsziGk/dgDG1qgI4OuZ6mJHmqjedQhycE17hDZrYMZaGCuGPHkT5wRCIzJu/vkhwojo51kMtLZ8tVKpMwMBDj6KhDhl4+dh0UqCjeKIwcXI+mErh65QyDBw9BIpGUSVoYHx/PlClTOHDgAKYmBugBe/8qP4RYXNZcfA9btGjB8ePHOXToEA0aNGDJkiWsW7eOESNGaOY5efIkcXFxNG7cWIu879YtbZHUW7duUaNGDS3vzL8d7z0s7/HGiHn4gKD4KFzd62NnZsGNuzdIuHUTh7bt3nrsouRTnZfCa1EfDcNyzGjS9uzFevJkbCZPeus5ALJS1A9qWycTQP2QaTfYlWOrA3jgE0sTr/IT2QRB4NyjJP4KTuJKSDLZBQqcrQzpZJRO/fArSPQNadzrA1oP+ghd/X9G9j1y/z50z10kr30bmm0s300NkF6oT/jCcOaiTqAsEhHU09ND8fQpABkqJV8mqGnxp09X82iYGupx7ZYvI0aMoFu3biiUCj4Y+gFKmRI9ez3M2puRm9eAiIgIbt++zYwZMxg5cqQW++i7RmrwfYxq1MbQSO21unbtGj/99BP+/v4kJiZy/PhxLUK7sWPHlqjI6NmzJzt/Xsvd40fwO3WcRj1KKjdXhFtHDiCWSGg7tJi2/3VG3BUrVlC7dm06depEZmYmO3bs4ODBgwwZMgSAvl8Mp27duty5c0dDc59pXQ2AK3Y1OBX2gkHX7/FVx5Y4ubz9S6pr/07stnqA95/RbNxwHLGeLkl6ai/JOVE1eAEf3HtEvValJ6S+Lka5aNEiFi1aRMNGjfhw4EBSUlIISU3lrtouJjExkREzTjFmhB0DhwkoFArS0tJYsWKFZoxBs78GYHWfudjc1kfkZ42iWRwikRRRUMmKs+joZ+jolJ7f4+jYj6ch0wHQSf+Mrk7wqyyXwpfeKrFEzFderhz/QcWT8Aytvq+SFqpUKkaNGsWsWbOoX78+IpGIuiYGnI5NY55ChRLIypeTnFPAi6xCXuTISMst5GnUC9KV5ihfM/o++OADPvjgg1LX7OLiUq4ntQixsbHExMRoBD7/K3hvsLzHG0FeWMCRJfMAaP3JeMxMzbl95xrnf/6R0a2Pa8Xwc3JytBRuIyMjCQwMxNLSEisrK5YtW0b//v2xt7cnJSWFTZs2ER8fz9ChQ9Gt7ojVhAmkbt1K2p69AKRs3Ej6oUO4HNiProvLG61fqVDhfyaK++djcPa00lJhtXc1p1G3Gtw5GY5TA0usHIxLHeNhfCaLTz3iXlQ6no5mfNKuJp3dbYi470/Ewd9JMXNm2eb15dKPvy1Cdm5HvmotuY52NN9UORr7zp07c/S371lYcJgjrbbg5tYGe3t7kpOTGTZ/vlbbFi1a8OTJY3JycsnKK6Txy7yWR4/UpFwus10wrmuMl9SLzd9tIePqLurP3UXNmjWZMWOGxhj6J5CUk4t5dBjWfQZpjhVVs4wbN45BgwaV2q9Xr15alVZ6enpYWFhQvV4D4h4/JMz3JnVaVd7ofhETRU5qCq4tWiPVLT2cVJTQPHPmTEQiEf7+/sjlci12Vg8PD5ycnLh9+7bGYJG/zH/YWseO62Fx7LR25Fjoc4ZcvcsXHVriXuvtDJdm7RrR+mQgd+ML8DdwADHUKkwlXmJCoVSX4OAI6rXy5Orlq6xaswp/f38AfH19Wb58OYIgIJPJsLS0RCQSUVhYSER4OH/88Qfp6eks/tyLdsOeYahYSdueQ2nRwoA/jqdxwtKa1q1bIwgC8fHxODg4aNaUFnGXvG2FKM6C3CoRl0HexB49hoCAIKg0Gj05OTkEBT1D+TKB/PXnyrfzZuLqWoCVlYTMTBV//plJ+osCjYcLoEZNA2zsa3P5xlmkhTL8/f05e/Yst27dok4dNbndypUrkUqlTJ06VdPPzkyPW4KK2vPPVHCH69Anr2qVcpXB7du3sbKyws3N7Z2P/X8Z7w2W96gyBEHg9h+HAPhg+myq1VTnlrR2b8TNsGAS/O5SvWVrTfvXd2JFL7ExY8awZcsWnj59yp49e0hJScHKyooWLVpw/fp1TWmt7YzpmH3QF8WLF+jVrUvM6NEUhj0j48QJbF9TZq0M5DIlhxb7kp2q3pnVLYXEq3X/WsQ8TOXi7icMnt0MySsGTVqujFXnQzh0N4baNsbs+7QlHeoU76YvH4tGgopeoz/5x4yVrNAQwufPRz/oIQU1HGh8+A8kVci96NN3Kqv2H+a3KxtoG5NLcnIyISEhuLm5kefnR9zUaSjT0nDZsYNVx/7gl6U/kC6oaNqyFT/++CPt27cnJT+FLoe7ML7heGpYdeD8d+f5pNkPzGzQ7x+55tdx7t49dBRyOrYuVqgtr5qlCHp6eqVWYH04eyEbxgwl6NL5Khks1w/uBqDTqM/KbFOU0FwUcktKSkJXV7dE7kG1atU0OQsAhTJ1OMXazIxvB3kyMTuHDReus8mpDoei02kQFM6uxq7UcHnzklZPWyO2JlsiiMQs9xDx0ciPUSmU9Jp7mKRnDsTNuU5g2DXMza34+uuv+eqrr3j+/LnGODAzM8Pe3p7o6Gh69OiBnp4eZ86cQSwS02+QN2n8QJ50NmZmYoIeyPll81YKCgo06tyvGisARtVqkYeaNM9mWFPEEgkGLg7IAlRkxTzBzFn9XPDz82PZsmKNrdefK0EPfDmw/zmZmSpMzIzxcFcx6JsvtKp0vvvuO14kqnWxlEDz5moNr+7duxMXF4e/vz8///wzAQEBmhBPXr6cC3EZuNeQ0sDNCiN9KYa6UswNdbAw0sXaSA9rE10SEpP5+nQkJvrvvnonLi6OBg0a/Ou1g17He4PlPSoNlUrJw8s+3D9zkpTYaNzbdMC9TXESXL2PhnNzaTBpYSFaBkvnzp3LdXO+KpxWFvTq1EHv5Y6n1qlTRA71Jn3/AWymTau0uGJuZiFPbiWSHJVFdmoBtZvY0GaQK2Y2JUM1Ul0J3cbW448Vfuz+5iafrlZfZ3J2AUM23yY9T8aCvvUY1cYZHYn2Q2P85x+zxv8SFw/uo2O7ZlUSf6zwGpKf82jmDIz87yOSSMgf2I+mS39ALK3aT1nf2AwvuRvndB8zp2Nbrc/HsHlzav15grAOHYka6s0QYEhtVxI/aE7XVfs07Ux01WG042HH+chAvdOrY/7uE6PLQth9P/RNzKlTq2pzXrlyBVtbWywsLOjatStLly7FysoKXX0DxFIpeZkZVRov9lEwJlbWmmTb0lCU0Pz6y7kiyORqg8VAV/3SMzcxZsGg3oxOz6RTQDhhBsa0C0li8LW7zOjYEqc3MFymfOpF5trjpBaq6P3Bh4ilUsRSKbOtjKmbo84PcdAzY//+PbysemfXrl3s2rWLMWPGsHv3bkJDQ+nWpz9Xr16msLAQW1tbEhISaNr7dSNOxRdffIGBgQGurq48efIEY2NjcnNzSU9Px9zcHD0ja4w+MUEll2FSwxUAS8/GJJy4Q2ZQqMZg6dy5M8uXL6KgQGDu3LklKtF+//0IwQ97YWkxB4+6Q7l1qxkxWQ+48ziKNi+rknbv3s3u3bt5Hp1Bu58vMtrJmO+m9+Sjjz5CV1eX69evk5ycrOE4EQT1c1B0eQexz85zIzqqzPt6qyip/R2LNaemppKVlUWNGmWLWP5b8d8yz97jjSAIAuH+d9k7awoXtm3ArJodA2YtoO+0b7TaGdV2RaJUkRVbuubFu4TVuE9Q5eSgePGi4sYv4bPrMb5/RhD5IIVGXWvQa4JnqcZKEaq5qLkPCnLlpMbnkFOoYNzuexTIlfw9tQPj2tcsYawAmBgZ0GjwKMxSw9n/x7mqX1wZCD90gNAeXhgGBCLr1gVXnwuc1DdEoqOj0fARiUR4eHgU9wkP58MPP8TGxgZTU1O8vb019PvDO0whR1/g5Nn1JeaS2thg2rev5v8rh4iZ5hnIoaeHNMd0X4oK2hvbM6xmWwQknIt9e7bYykChEhA/DUbvlXLmyqBXr17s3buXixcvsnLlSq5evUrv3r1RvqTlVykUJEdFcPrnH0lPjK9wvBcZGRQqFFjUqlNmm+joaHx8fPjss+KXt52dHTKZTFNGXoTnz59reX8KFWqDRV9HO7HU2cKMqG5NedCmLuNzUjhtZU+70CSm7T9GdFTVfn9G5qYsXzyGbSs+wdzaXHPcI1VtBDssbo2NaxNuzr+GolAd3jh+/LgWhb5IJOL0iWN8/fXXLP1lL926dQNE3Dz9K6f39WT+xI81Aofnz58nMzOTTz/9FLFYXCqhpIV7Y6waFCdSSw2MiLN7yo2oYK12LjV1EYsVyOUly/RtbFwpKLAlIXEbt24uAMDJNJ6r90t+R6s5m9Pb3oa/n6t4nvRCQ1o4atQogoKCuHb1Dh9N2U61sT9jYm7D119/zfnz5f+2i8ua363F8uTJE6RSablCnP9WvDdY3qNcyGWFHP3hO078+D2CSsXwJT8xcNYCXJu3KvGikBgaoq8SyEp+/o+vS6SnR4plfXx+i0aWX7kYsb6xepfaoq8L7Ya6VqrP+PWdsLAzxGfvE8bu8CU6JY8941pSw9Kw3H4DBvQk37omYacOkFkKm2lVoFAqmXb6PL2MnXhYvyGOvx2iycZfMLZTh7Lq16+vVY1SlCyYm5uLl5cXIpGIS5cucfPmTWQyGf369UOlUuHeuDMeaQb8HXW21HkdV6/Cac8ezk9qjn8d9aPiB98fiM2OBcDvuR8A7R3aY6Zngo5+TZ6lPX6ra60sbj0LxywzFc/mVasOGjZsGP3798fT05OBAwdy+vRp7t27p1UOiyAQcusaO2d8we2jv5U5lt+zcDpef4BEpSTPpexcgl27dmFra0vfVwzAZs2aoaOjw8WLxVVJISEhxMTE0KZNcYhLLld/tw3K4KMxNzVh/uA++HVoyMSsZM5Y2NI+7DmT9x8jqoqGy6tI3XcRkZ45ysxQxHo6GHo54SSHJ4vKNkiLvHSZUY/w8fGhWYPGtOo+hr4jz2LgWF/zku3UqRMAX331FVZWVlhbW5c5ZhH+8vmDCWZbWG56hF9uTdYcj4lOw6WmCGNj8xJ9RCIR7m5LAGPkCrVWkUIl4Wy4QOyLTPxDY8nLL+DcuXOcPXuWPp76REf449G4Dc7Otfnkk09ITlRy5FI2E08lc1/Plp/6d8XSzBAHB/sKS/WLypork0RbFURHR+Pk5KRV4vxfwXuD5T3KRNzjh6wfNZjooPu0HDiUMas34eBWt9w+hjo65GSk/+Nry5OaEdRwIhGPswm9V7GBpFSoSI3PpU6LarTsV6vSu3IdXQlth9YhJTobVXQuez9tSV37illwRSIRA774EtPCdH6thGJxWYh48YJupy/zu5Et2cYmOE+bhkVDbX0cqVSqYca1s7PTvABu3rxJVFQUu3fvxtPTE09PT/bs2YOfnx+XLl0CYKBVF/wt0gm6f77U+Y1atWTs+I1s6b4Fdwv1A7rPsT4IgsCc63Ow1Lfk47ofq9vqmZMpU3O3HF2xmj+nzERVRWr+yuKO7x2UYgmdWr5dOXOtWrWwtrbWJIUP/OY7LOwd8PpiGroGBtw5ekjrhXP54WMCY2IJiopiQFQ6KNSkZdVqlB6KUalUmtCJ9JWwnZmZGZ9++ikzZ87k8uXL+Pv788knn9CmTRtNwi2A/KWHpSyDRTOeqQlzh3yAX4dGTMp8zgVzW9qHJTNp/3Eiqmi4ZF32I/+R+mVoPVZtPLVs78wDcwnmqrJ/N/EpmSiVSo7+cQRBEOjxQU/unlEbz0qlkqysLMaNG1flEOmFS38yJ16te9XC1InNYVfZfEddTSSWqNCR6pfZ19W1O337XKZXz4d07vSUx9m7iM63oMPqGwzeGcSU7RfIzMxk0qRJDBzQgUKf9eg51iW962y6LLxI7/33OJ6QTldbU85Nas+IAeU//16FWPzPeFhMTU01+kn/Nbw3WN6jVNw/e4rfF89B18CAwXMX02H4GA0hWHkwMjAmL69yyrJvg5iAOAAkEhFXD4YgKyj7xZgSl82vM6+RnphbaoJteUhIyOa3A4+QIzBpYF2aOFW+RNfTsx6CWysK7p4hKiG5SvMCXA5+iNe9EOKl+nimJWOZnUX7Fk1LtAsLC8PBwYFatWoxYsQIjQx9YWEhIpFIK7avr6+PWCzWeGE691Pr3CSGBZa5DjM9M9o5tuOP/n9ojs28MpPkvGS61OiC2ctSWKPYJzTw9eVh3XrU2/0rbhfOEB8TV+XrrgzSHwVS4OyKgUH5nq6KEBcXR2pqKvb26u9F7WYtGbduG55delC3fWdUSiU5aakAHPS9x/AXMnqFp+IVmYFSImWCWO09q1lGPoGPjw8xMTGMGzeuxLm1a9fywQcfMHjwYDp27IidnV2JfC75yxwWSSVp101NTZgz5AP8OjVmWmYSF82s6fAsmYkHjhMbXbHholIoyTzzUtxP8RCjVsUJqt2mFzO/hu9/xN+7Ark37xq3F1zn76Vn2bV1K4eP/EFOXj43bt7CysAcv0dqVeiEhARUKpUm6RjQlDVbWpZP0Hgs+k8A9rTfya8DTtHXrja/hJxjxLG23DYO5mDWDQbuGUifXX0YuHcg10KulTqORKLDjA/bcfLzJtiLszATF+KbpKB+o274339MYWEhaanJxNw6zhizXJL+XELW9k8IXtmXjrVSqFFD/T0PCwsjMTERT09PjIyMcHBwYPTo0SQkJGjNt3PLRpL2fc2QTk3eKbGbVCqtlGDlvxHvDZb3KIGbv+/j0q6tAIz+cQMujZtVuq+xpRV5ctk7d4O+joBHOkhUMvpPbQjAsZ/8EUohehMEgT/XBaKQqeg/rXGV2GvXLL3Fse/vIk2XU6NvDbq1qXqS26jJXyBBYO+mX6vU788HwYxNyMFcIeNiSw+8CnMpeJmr8ipatWrF7t27OXv2LJs3byYyMpIOHTqQnZ1N69atMTIyYvbs2eTl5ZGbm8vXX3+NUqkkMTERAAtjdXVTRn5JUq7ScPpDtTiiT4wPAANdB5L+IpZ+65uRYJpL8zABySuf/cM7d6t03ZVBYnYO5jHPcGhY0ngrIjMrEossKnWNiYkhJyeHWbNmcefOHaKiorh48SIDBgzA1dWVnj1L0tMXGQlZKS9QqlSsSM7BMfMF5jlqL1K71DjEBfmoRCJcq5VOjufl5YUgCKWWn+rr67Np0ybS0tLIzc3l2LFjJaqXisQji6rN4uPjGTlyJFZWVhgYGODp6Ymfn1+JsU1MjAn3OU1I/440P7CVi2Y2tH+ayLxdv5ESHVvqWlUqFQnzbyESqz1BdvO12YP19XVI81aHUlVAw5Bs7JUi0kx1SM2N5MQfB1AJAoEB/tSuVRNHfRtS5ZnICgoJCgoC0HzvAC5duoRKpaJu3fK9FqFCBN1F7WlauwVisZgfehxlWr0PUApisgyykOsoEIvFmOmakaJMYdatWeQWam+aMvMyuRt+l/zCfDxrO3L7h+EMbWhD01xDrqx9wC9L72ja6upJadvKjmEfdmHHr1tLrCcvL4+AgAAWLFhAQEAAx44dIyQkhP79+2u1U8rlGHq0p9eHH5UY422gUCj+c9VBRXhfJfQeGuRmZrDrG28KM9Tu4Ek7f0PfqHQOkrJg6ebBo7gIch4/xuRlWfK7RsTJ2ygk+jR3y8HB3YrqHhbEPU3nwaVYrByMycsqJDdLRl6WjOcRWRTkyPH6rH7VqfaTCijQEeHcTcbubV8xZULpZGSCILBw4UK2b99ORkYG7dq100jI21WzwbxNb7JunsL3/hNaNSn/4VygkLPyyi22CUbUzs3gz14dsTA0xN7RnjyVPoH3AmjSshn3/ALZ8TgcB10p3w1T80o0bNiQVq1a4ezszOHDh/n00085cuQIX375JevXr0csFjN8+HCaNm2qeeAZSA2QKiFDllGpW+Js6sxH7h/xe8jvXBp6CRtDG6Zs7EWUmTo0YuHcmejerci9eJF69+9hrPvuSzov3L2LVKmgU5u2Jc6VV0K/efNmgoKC2LNnDxkZGTg4OODl5cWSJUtK1Tqyrq7mOFm/fi1BnT4g2caJLWbQu2EDZHIFhnoNWbNtKwWGJkgk/8yjVKlQoBRLEIlEpKen065dO7p06cKZM2ewsbEhLCysVGK+48ePc+fOHRwcHOjSqD57OjZijc8N9jjU4khwNBNu3GXioD4YGBQnnWed9n05aSrVfxqoNZ6GS+nlezLVRcFZqxd0G9wUrxqOtGs2mYSEBK5cuqyhk7eytUYZHsmf249w584dmjZtqlEmlsvlTJ48mWHDhpWbw3LL7zLJklTSlRmaY2KxhM9aLOezklI/+Ef6M/baWLZf38707tMBeBT3iHHnx5EnycNCZcG+D/bhbONME2NTLArVHiyzLCUpaXlYv8xNK6883szMTMNaXISNGzfSsmVLYmJiNBVFX07/ivM7gnCSBJZ5fW+ChISEEqSE/xX8N8209ygVd69PoO5H4RhYivhy+wHWrt9AixYtMDExwdbWloEDB5YQ7urcubNWhUrLLydzxP8hz86c/kfWGH/1AWf+VlcE1Oqo3rX2ntiAv/x20X1QK2o3tKd9z2YsXvQ9UUEpFOTKsXU2oZqbIZMnT6Z69eoYGBhQr169UiXdX4VgoUuWDhjrCTRq1IhNmzaV2u7HH39k/fr1bNmyBV9fX4yMjOjZsycFLxV2x3w+ikI9E07/uhVBEEhILL2yacPuPdi37sD3w4aQ4NWCScpsLAzVD9D+LRshrF9B9yGD0dXXp3WvHuzZv4sNEgOiXtkxjx49moKCAiZMmIC9vT379u3TlGampKSwb98+4uPjqVWrFqDOtTGRSciUZ1b6M5jXah73RtzDxtCG8Gd+3DCIo2++G8FjgvFe8wu9PhtDxw1rAbCe/y3pyS+QK9+dC/vZfT/yzCxxLYU0sKiE/vW/3bt3Y2BgwLlz50hOTkYmkxEVFcW2bduoVq1aqfN4dvVi4OzvuNHai/s2TlTPTqN/44boSaWYGOgjEYuRqJQY5mbx4y+b8AkIeOeuepVCjuqld2XlypXUqFGDXbt20bJlS2rWrImXl1eJapFXaeSLxCPNTU34flBvbrfywKsgm58cauN68zE+G34n6cfjpB7wIftKOqr8Fzis7F9iHX5+fjRp0oQmTdSioCtXL+Lzbwaz+PtFalXvYH+ysrJo2ryZhkq+5ycDyI1OZ9cf+7C1teXMmTN4eHjQrVs3+vTpQ/v27TUaOqUh4P5tJjxSk7X1qlU+t04RmtVsRh1xHY7FHNNUfn178VskSPja9WvyyWfK31NQqVQ0a6Rm0bZpro8SgRPHQis1x63HPhy6uEjrWGZmJiKRSCv08zLl9p1WNefl5ZGYmFimYvu/He8NlvcAICnpJCpDtWu599QvMDQ14+rVq0yaNIk7d+5w4cIF5HI5Xl5e5OZqu1s///xzrSqVjxrVI+ph4DtfY+qDME4cUucT9O2rj01zdfnuqlU/4Rt5hnVrf8b/7gM2bl3HpeDDpFnfY8Ti1gyd24Kvv/6Ks2fPsn//fp48ecL06dOZPHkyJ0+eLHM+y+rGmOQLdOjSnaVLl5ZafikIAuvWrWP+/PkMGDCAhg0bsnfvXhISEjhx4gQABgb61O3/MeYpz1j23QoOTf+Eo0f/1oyRlZPDhCMnWJiQgbR2HabMUpeL672StyDIZOiFPUb5yURMt/6G2eLVKGKjyZw3HTNTE027tm3boqenx/z58zl69Cjh4eEMGTIEa2trzM3NuXTpEsnJyVrua1OFDlmKyms1iUQi9F8mOkY/80chFTG842StNjbWVgSOGAtAcL8BBDZvQfBt30rPURYUKhXikGD06jZ6p/w2ZaF205a8sKxGp+xk/u7cvIQrvkErtZdHcvUMD1Z+x4b9b55gXRqUCgWql96bkydP0rx5c4YOHYqtrS1NmjRh+/btWu1fp5F/HQ7mpmwc0puL9oYoJRI+retGQq4N+cF6IJZiM6FJqeGG8gxBFxcXFi5cyMKFC8l8nq45J5fLqeZij2/gPUaPGo2trS0HDx4kOzubzMxMfvjhB549e6ZJeA4ODiYwMJC0tDTiYqOYE6Bm0nZROPLwQig1a9bEwMCA2rVrs2TJkhJh5ydPntC/f3/OTTzHjS9vUKdBHfyC/YgUIhlUYxBj2o1hsvtkIonE57EPdjWsQEdOemgOWda6pD1IQ1WBYe0fdpX8pAnYivZx4mxjTp5ryNFT9fjiy3506mzCTd+WnPNx48JFV1JjO7Ol21dIhNTKf+AVIC5OnRP23mB5j/8sUtNu8OjxVxgZqPNBZIXqKp+zZ88yduxY6tevT6NGjdi9ezcxMTEaeu4iGBoaalWpuDnXIiE7A9XLHc7bIi85nYPjf+O3zWpPQov6Mlz6FYcDbt26xcCBAxj5qTeeTT34aJg3Xl5e3L17V6vNmDFj6Ny5My4uLowfP55GjRpptXkdtd0tMRRE3A8p+4ETGRlJUlKSFsW6mZkZrVq14vbt25pjgwb1JtOsBgah6rLQZ3fVQmYPY+PocNGXU5Y1GNe6GbEHdrFu9qwS85iZmfHr5q3od/ZC6uSCtUst5n45EXnYEy5cOE9UVBS3bt3i4sWL6OnpMWnSJNq2bUvz5s25c+cOT58+Zf/+/QwdOpQZM2ZolWSaqHTJVFU9UVqhkHP5sdqTZm1ekhBt6Ldf82j4aDIcHDHOzyPy4pUqz/E6boc9wyQrHc/mpcQD/gFEJb8gy9CErlam2JqWrA7zataU0dsOMPnACTKr1SA1vHxBvKpCpVCiepnsHhERoQk1njt3ji+//JKpU6dqaSOVRiNfGup7uPE5+ogFqD29KSZddbCZUB+Dem/2IrSVqsNSO7dsRyFXcGrzYa79fp6HkU9Jy0rn088+LdFny5YtNGnShM8//xyAjh070qRJE06ePMlin+/IFGezsvYSWid1YMuWLWzcuJEnT56wcuVKfvzxRzZs2KAZKzw8nPbt2+Ph4cH1q9dpt6QdJj1MCIgOQBAJdK+n/n0ObaoOnz598ZSQB9Eg10FRqKJ5dyeM5LB6ye0yvWRPYvxIjJxEaoENicqPyNcdRKZoMMuXCyhFloz9eha5euPJ0ZtItu400hiDjkSBteG7U9rOylKT0ZmW8l38L+B9Dst/HPn58Tx6NANLy3Y4O8zn/sOeyApLDw9kZqqPv57Vf+DAAfbv34+dnR39+vXDu2kLniREk3j9Ko6du77V+h4euMbV6woQ22KgyKR9PwfcBmiP2bZtW7Zt20ZoaChubm48ePCAGzdusGbNGq02J0+eZNy4cTg4OHDlyhVCQ0NZu3ZtmXPLXuq4hD5JpUOj0llMi2jUXw8rvE6xLhaL6ffFFM6uXoyhIheVQo5SqWDC3WBkekYcq21D6wpYSnu0b83WKzeZJtOhVXICHeupycqmTp1Keno6NjY2tG/fnjt37mBjY0NaWhoXLlxAKpXSsGFDXFxcmDdvHjNmzNAa1xQDsim9TFKhVLB431hOiB7QM9WBFZP+RKqn9q4E+P7JCasoumTXwNGhJCeFVCJhyMK5AJzvP4iCyMhyr68yuOt7B4VESuf/IYNl77NoQEor57I/GxszdfWIxMKSgvySBGZvA5VCoQkJqVQqmjdvzg8//ABAkyZNePjwIVu2bGHMmDGl0siXhmcJmRwJimeHbiG9c0WYWRiCV+sy21cGE+dP4+r+c1x+dpv1P6whS8iD51C7dm3Sop5j4VwyKblILPF1xMSGs9FnA2Osh9On/UB+WfErAwYM0PDYuLi4cOjQIa3Nxrx58+jTpw8//vgjADOEGSx8uJBtydvQE+vRwL4BAPq6+ogEETK5DJ/djwB96rS1oFuHGoT/Fo5hUiH3g1/QrJH27/lFRiKiJ4vIltvSq8MfWJtZIpfL8fb2Rp6ri9/tIKysrLT6JCU94tHjPYhE7y4o9OzZMxwcHJD8g/pk/5fx3sPyH4YgqHj0eDoSiRH1663G0EidyCWXlTRYVCoV06dPp127djRo0EBz/OOPP2b//v1cvnyZuXPnsm/fPhYfUZdm+myrWDm4PMhyCtTGCtC9mw7jfv0QtwGtSrSbM2cOw4YNw8PDAx0dHZo0acL06dM1ku0AGzZsoF69elSvXh1dXV169erFpk2b6NixY4nxUtLzWbnkFk9/DydHT0T7FlUrhS4LLZrWw7qzOqzU8cNB/OBzlXBLe5Y4WVVorMBLbpcu7RmTl87Fao58/dVXfPzxxyQlJVFYWEhcXBy//fYb27Ztw8jICCsrK8zNzUlMTEQmkxEaGqoR33sVpmIDsiQyrWNhEf58+EsbOm1vygnRAwDOWSXw18liI9DfV11uumBY+blAALkOjnjevErApasVti0PaQ8DKXCpo5Us+k/itzz1y8bToWza/SI412+IdXQo5/38K2xbWQhKOcJLD4u9vb2WDg5A3bp1NWXsr9LIS6VSpFIp0dHRfPXVV7i8zPd5lpxNt8cR/KwnQyUSMdat4uuqLIxM1WrK+apCmuu4YS4xpk31xphVr5gYrgiCILDk/CJMBWOGtRsNqDcbFy9eJDRUnWNStCEpSopVqVT89ddfuLm50bNnT2xtbVk5cSWNnzXGQeLA7Aazkb6sfBKLxYhVEnKvmEK+Pq2G2+H1USskEjGDv1c/W+76JpRYV0j4BgqV+nRstU/LWAkLC8PHx6eEsQJoRBp5RxWTOTk5hIaG0qhRo4ob/0vx3mD5j0KhyCYg4GMyMwOoW3c5urpW6Oobo5SLkCuySrSfNGkSDx8+5LfftJk/x48fT8+ePfH09GTEiBHs3buXP0+dIiUnlxSljLATR99ofbkJL7i14jgA9SyTcB/aocy2hw8f5sCBAxw8eJCAgAD27NnDqlWrtFzlGzZs4M6dO5w8eRJ/f39Wr17NpEmT8PHx0RorJ1fO2vk30U3IR7e5FdN/6oB77bKri4rKUIvo7ovwOsV6EUYMH0Cu1JjfTx1li8SMblnPGdKwatVUQ9xrkrr0Wx7lFtKz15AS52fNmsX9+/c5f/48EomE0aNHl1tmbiY2IktazGOjUMj59ujnPDPKwTJPzI4ac/izzQ4A/kxQ05EfPrWSreb38Xphh411JfRrXnrlDCZ+wb0jFWtHlYbn2dmYxYbj0LDyZfZvixpZKdTJeoGkEmWko4YMJdfMiuCfFnL40iUyc/O4+egRBYWyCvuWBUGhQHi5m27Xrl2JpPfQ0FCcndXVTEU08kVl3YGBgTg4ODBr1izOnVN/bsv9o9BVwQlHB67Wr02HenYsX768wuR6UCsEd+3aFSMjI0xNTenYsSP5r3iU6nVqTM8GnRhS2IY2tZsyfcHX9PxsoJYSekW4eOMv7kgD+br+DGws1V6ZijYkycnJ5OTksGLFCnr16sX58+f58MMPObDsAF+5fEW1vGr069cPBwcHRCIRNf5uiFVaLep0MaJ5p3ocO3YMLy8v6td1YvLWbgTfDShRHr966RM+6uuLs211RCIRurq6nDhxgjFjxmiqopKSkpDJij/r+PhEnj0rJDExBaVSqRkvJ6fy+WKv4sGDB4hEIjw9Pd+o/78Cwr8AmZmZAiBkZmb+by/l/wuoVCrhxo32gs/FWkJIyPda586cdBNunP9S69ikSZOE6tWrCxERERWOnZOTIwDCzgXzhVXefYWjUya80RpPTd0ubJxwUdjxyR9CVkR8uW2rV68ubNy4UevYkiVLBHd3d0EQBCEvL0/Q0dERTp8+rdXm008/FXr27Kl1bOLCy8LGCReFg3+HljoXIBw/flzzf5VKJdjZ2QmrVq3SHMvMzBT09PSEQ4cOlTrGzK2HhBpnbwvtjp4V8goLKzVPEWQymVCrVVdBx76W4DjtoOA8+7Rw7czNUscQBEGIjY0VAOHWrVtltlm/9VOh1VZPzf937pwuNNjdQPjkp7ZCclyYIAiCoFAqhAa7GwgNdjcQTp1aKzTY3UAY+HMLoVBWUOa4ryLg1h3hsbuH5i9PJq9Uv1ex//wFYZV3XyEkOqrKfd8EKpVKqHPqqjDh1LlK97n7+ImwyruvsMq7r7Bi+ABhlXdfYfHPawWVSvVGa1iy6kfhu0mfq8e+e1eQSqXCsmXLhLCwMOHAgQOCoaGhsH///jL7Ozs7C2vXrhVuXIkQPjhyT6h26b6w80a4VpuePXsKu3btEh4+fCgEBgYKffr0EZycnIScnBxNm1u3bgmmpqbC8uXLhYcPHwpPnz4Vfv/9d6GgQPvzV8mUQuzsa0LKgcdVvtbCggKh16/dhFG7PtK6X4cOHRKqV68uHDp0SAgKChL27t0rWFpaCrt37xYEQRDi4+MFQBg+fLjWeP369ROGDRsm/P3338K8efOE/fv2CYDwSa/5ws4VxzTt9u7dKyxevFjYvn27AAiTh24R/jp7QUAtW6j15+3tLdy9e7fUc4Bw+fJlzbgfffRhhW0qC5VKJWzYsEE4cuRIlfv+X0dV3t/vPSz/McjlWdy42ZaCwgScnb/EzW2B1nmVQopSoU7AFASByZMnc/z4cS5dulSpzPSiHUmzIUOxUEHk87gqk8iF7PyViKxCEBSM3NAXk5rlK9zm5eWVqGyQSCSa5Dm5XI5cLi+3TREa11J7AmKuJRITr/Y0lUdGJhKJmD59OkuXLuXkyZMEBwczevRoHBwctLhaihCRmc9vznVIHPUhNwf3wlBPT6ssfNKkSZq2Raq2NjY2DBgwgODgYBp360ts+DOqDVmCVF+dePfoadlsskXXV1hYduKfqY4puXoCSpU6SfpmzgNcX0jY+fVNbBzVRGESsYQtNdX5KHNT1d6WX/vvRVenJH9JaWjSphWFv+4gZdESAO74XK5Uv1cRdv8eORbW1Latxr2PhhK5f6/mnLKwkPSHQVUeszxEPk8my8iUplZmle7Toq4HbRevAiDX0oZcCxuMbvrw0y9vGB5VyFG9pPRv0aIFx48f59ChQzRo0IAlS5awbt06rdBnWdidmMo9KynLpCaMbav9O65Mcv2MGTOYOnUqc+bMoX79+ri7u+Pt7V2Sv0byMtxYColjRdh5YTMJkhfMbf+tVthy1qxZGi+Lp6cno0aNYsaMGSxfvhwAa2trpFJpmeGy3r17s3TpUvxRJ8FLVTo0dSpuO2rUKL777jtN4ryxSkRqlqOm2snnYi18LtZCEAR+//13WrRoQePGjRk3blyJqqnOnTtrxt248Ud8LtbiwYMDZbapLGJiYkhJSaFp05Jkif8lvE+6/Q+hUJZCYOBYZLJkbG1641r76xJtBIUOSpXaZTlp0iQOHjzIn3/+iYmJiSaJ1MzMDAMDA8LDwzl48CB9+vTBysqKoKAgZsyYQceOHWnYsCERZpakZ6cR+ucx3AcOLnNdsZcvcv+3/SRnpJKJ+gUr0W+FWFAg0a9Y4Ktfv34sW7YMJycn6tevz/3791mzZo2GDt3U1JROnToxa9YsDAwMcHZ25urVq+zdu1crMRdg2OC6bM0MRPw4i6NL7pFjo0vDVnkM7NdL0+ZVMrLdu3fzzTffkJuby/jx48nIyKB9+/acPXsWfX1tjROFUsWgG09Q6Yo4d+Um9V4RUHz48CE9evSgSZMmGsNoyJAh9Omj1u3ZvHkzLVq2RKFjjOPI71kxqhHf7FHTnitk6pCBr68v9+7do3379lhYWBAeHs6CBQuoXbu2lqDe69DTMwQ5KFQKTh//EV/TF4yQlXwwtuv4MRcadmT9b9PoXrMXVi4epYxWNhq3b4sgCFzf/Atpvx+G3j0q3VepUiEKeYhew+Yk3/PF+MFDCh48hJHqPAe/j4Zi8jSMgs0bse/SrUrrKgs3IqMBXdq7OFepXxsPD8x+2oythQUCAr/s3IHxtXME9/DC0618wbwSUChQSYvL2z/44AM++OCDSnePiooCYPKFR3jmFPJpv4oVfl9Prk9OTsbX15cRI0bQtm1bwsPD8fDwYNmyZbRv316rr0j8ZoJ/SWkJ7Hyxnw91e1HXtaHWuYo2JLq6urRo0aLccBnAJUWxcKOBRdmG9m93NpF69ltGe6dy/PhxTF4pyBEEgfHjxxMYGMjjx4+Jjo7WVG4VISAggNmzZ3P3ri+CkEuPHtvZs6e/Rq26qlCpVJw/f55q1appcpH+s/gHPDz/43gfEqoYCkWucOVqU+HK1cZCdvbTMtudOdpZ+Ptoc0EQhDLdnrt27RIEQRBiYmKEjh07CpaWloKenp7g6uoqzJo1S/M5pD16KKzy7iv4/ry6zPnSHz/SuNBf/Ts4c7GwccJFISoossJry8rKEqZNmyY4OTkJ+vr6Qq1atYR58+YJha+EWxITE4WxY8cKDg4Ogr6+vuDu7i6sXr26TFd9XHyWsH1LgLBugo+wfdv9CtdQEQ6EJAoNT/sL1S4GCCv8S4Y0pk2bJjg4OJR6v8eMGSP8/fffZX4e585dEARBEIKCgoQuXbpoPg8XFxfhiy++EOLi4spd2+Ej3wsNdjcQHgQd0YR9CmX5b33NZeH42o1CsEddoTCv8nPcfPJEWDu4t3CtWRPhoUddTWgp5JeNQm56mhBUV33Mr08vIWDC54KyoHKhqvIw9eRZweXMLUGpVL7VOJn5BcLS0UOFZRs3VKmfSqUSFn8zUfjq6ylvNb8gCMIMn8dCh1P+FbZTKpVC3759hXbt2mmO3b59WwAES0tLYefOnUJAQIAwffp0QVdXVwgNLRk6jZ19TXix62GV1vfVoclCux2thbQXKSXOjRkzRnB0dBROnz4tREZGCseOHROsra2Fb775RtPm2LFjgo6OjrBt2zYhLCxM2LBhgyCRSITr169r2jTZ2VgAhM+9FgsP/ii57sjISAEQOncdLHzutVgTlv3tr3aCz8VaQnZetrBixQpBV1dXqF69uhDgd0/o3LqW4FDNQAi9tU+IvrtfuHNytWBmYigMH9BeOLlrkrBxk4PQqKGrMHjw4Crdj1fx+PFjYeHChUJkZOQbj/F/GVV5f7/3sPxHkJ7ui0KRQeNGuzE2LnuXZ2vjRbr8V5JjgyrcJdWoUYOrV8uu+jB9qZ9y75oPTb+cgrQUAbfQY2pBPQuZAteGzWi/YDFiqZSE0BiOr3lG7JMYnD1dyl2HiYkJ69atY926dWW2sbOzY9euXeWO8yocHUz4bEITlk27hDL57UpVr8enMzM+CQzFTDYxY3ZT7R27TCZj//79zJw5k2+//bZE/9zcXObPn49xNUcsx25imX0e8xPV2z5PsvDyUruyPT09NSrMlYUglyMOuA3uMCJArYj7/X4FumPKVsB9Wzg2bYxEEAh5EIxn68qVJ9+5cxt9pRLrHPVnYbJ+HQmrV6G/aTPPIiLQUQkU6OliGB4F4VE8XrmcBt8teqt1PpapcFFmv7Vui6m+HgV16iMJfVRmm8L8LHT0jDVzyQrz+G3paIyiCrjbpjeX4v3o6tj8jdegJxYhqwTPXlFyfZE4JhSHFSdMmMAnn3wCqEuqL168yM6dOzWhGS1UwcMSfvwYLXZfpMnIT7GwLllts2HDBhYsWMDEiRNJTk7GwcGBCRMm8N1332nafPjhh2zZsoXly5czdepU3N3dOXr0qJYHSC5WJ5YbSMUkhqTTsMRMaixfPptru4sLD+rX28DziCHcudWQlStiEIskTJ8+HeOc60yfq2LokAL2/PUVXboac/pyFiJJIeO+TEYiukwDhR0LJ49l0PipPHv2DFdX10rfF1ALLR4/fhwXF5f33hXeh4T+M5DqqF9wurrllxjWbfopN27tIOTBDmxr/PxWc0qkOjiZWRGTmYo8LxepmXmJNpEhD9ERYNzxs1rH7Wo5Iqj8CPNT0d77rZbxxlApVRjKBMSmb6eHU9dCHfoZqmfE/OYl84BOnDhBRkaGlpItwC+//KIJN7m7uzN7x2/8ej2TvS+Kf7YrvRu/8brk0SEkTBiF0/MsrJwlOOhIWZrenMLYW8jDHqBT558pn6zfsjmPDAxJvnCx0gZL+qMHiOs3ITtHiTgri7pePTGpU4eofv3RPfU32fbVoE5t9K+pCfnyr5au2FtZCIJAlL4xXhS81ThFMLeyIj/sMXkFBRi+FioMC/ibU6s2oW8O+iY6ZMTIEVSACFwGNsWvWlsuPI9+O4NFVLHBMnnyZE6fPs21a9eoXr265niRknV5JdWvozQh0tKQduhvZIvnqY2Hpb9y/vAfuK/8Gee6LTVtKrMhARg3blypqtgAGTnpmn+bmuqQnFQ67xCAvq4OuKrDNxmZhRjlq+9FYqKC9AwlEomKJo4PiFHcorqkE61ahJD+wpOOLVYR/GAHxsZr6N4zhOzkDDLXBCNzV89948aNKhssFy9exM7OjmHDhlWp378V75Nu/yOQStT07UpV2T9UAAMjW4TcGmQX3Hgnisv2DmqFY1UZSZ8vcrKwlpaMJ4ulEmo1NiA305zoh9FvvY43waMnKegKIpzrmL/VONaGeujlKXmYXbqnZseOHfTu3RsHB+3k4hEjRnD//n2uXr2Km5sbRxZMRVDICFUY4liQTtSKvtRrWr6YYlnI3LKIyP4DkD3PpP7c8VyZ8IiD4x7gMnYJiASyf9v8RuNWBob6eiS0bketA3u4cbjiEucXmZnYRITQ5fwFTGLjEXdSl7ib1ayFw45fEc+cRuOTp7DrP0Cj2yLOKWbuzY6MIMXvXpXW+CwxiWxDE5pamVepX1no3LMv+gV5HPrrL63jhfkZXDu4HUEpwtzemMJsJYJKhFhHReuP29O2/xQQiYgufLtHta5YhKyMIYQKkutdXFxwcHCoMEdEA1HlHCyZ527wfMkcdF2bE95Z/SKvEZrBs2+/qtQ1VQUJL4r1tiwdjMmSqchLKpvdedAQdX6W/28hKHc9oeaNFUhvqY2G5s31kZg9xrygPW5N5mLvWIOUjEx0TEzp4eVFUlISP/30E3KFgoyCbFbvXA9oK1VXBkWl0m3atCmRD/dfxXuD5T8ClUptMIhFFXsLqtn1Rdcig8SIkrL1VYXbB2rNmvA/j5eyJhWFOlLQLz0BruvoTohEeVzZ9/brqCoi4rI4ui2YfLFAu5aObz2enUhMrFJe4nh0dDQ+Pj589tlnJc6ZmZlRp04dOnbsyB9//MGzkBAKktQv3q+7vBnhlzIpmnjv9iSs+x1DV0tq/nkSQ++ZmvMi82ogAkVq6QKN7wqt5s0GwOq7echkJe/Lqzjv64tZfiHVsvLIqedOo+UrNedsWrXGffwX6JqY4PRBf1zv3SXX3RWVrtoLVZieTkS//rwYOZrUK1cqvT51wi10eIXQ79q1a1p8HkVaUUV4/vw5Y8eOxcHBAUNDQ3r16kVYWBgAzWrVJN29IS+O7mPewvkEBl/jxPov2Th2JBmxcrpM6M/HC37ny19OMf3ACWbsP0O7/nOxN7KlmiiNSwVOfHnn0BtvIvTEYuQiUan9J02axP79+zl48KAmuT4pKUnDsSISiZg1axbr169Xfw+fPWPBggU8ffqUTz8tSbmPUCT8VzZyfR+Q8PVUpPZ1cD60lQ+2nMLM5wSRntY4PEnhQcP6pCfHVjBK5ZCTk8OuEzvIj1ZfT75JNvEpzzizXe2FS0tL0yTRAoSEhJCTpmZlLlRBoQC6eXbkt1IHkcYO/Yb23W7SrO9uTF5jeK5fvz579uxh9erV2DrZ0WzjQByrOVCtWrUqhxZ9fHywsLDQSuj9r+O9wfIfga6uOjacnV12HL0I7o0/AZWI0ODK53yUBZtmLTBQCUT63iqzjaIM74u+sSE1PcVkZ5gTFRT11mupLJ6EpPLH8nsYyqHdJ3WxsXx7VlVnXR1ydMUUKLTLqHft2oWtra2GdrwsCC9LIgsc9CjwcuBL08qzhxZBlZlK1IBe5DxJwWHqEKr/cROpk/YDVySRYGCnhzy2JNvnu4Rd9WIjsCI92/D7xQar+4qVSCRlR7J1TUxQZWWBkRHytDSCZ32FrkJdrp28alWl1xeQloFRQR51qhVTyufm5pap2i0IAgMHDiQiIoI///yT+/fv4+zsTPfu3TVioR9/OZm8hi2xfBrIxaU/EnEnGqfmlnwwaxxNu47XjCWRal/f/oZqj8fx/LrYX3nAveSq6xXpicUUigFlyXu9efNmMjMz6dy5s0Zp2d7ent9//13TZvr06cydO5cZM2bQqFEjLl68yIULF0ooRWtQjsWS/ySC2C8mIDGthvO+7UhN1CFTh+ruuM1fSoEO6MpUPDm4+Z14ef38/Fg1cz3hC8MBmLd4LsuPTmDV/nVkJ+Rw8uRJmjRpovkNDhs2TKNKDeC+rC3VV3TA7+UzrGWX/kh0izdZr5NEFrFPhz0KJWjqKSZ//AUvXrzQKKRXBleuXOHZs2d0794dqfR95kYR3hss/xFk5zwBKDfhtgj6+lZQ4EKO7M5bPzBEIhH2phZEp78oMVZKUODL+cp2d3b7pCsiUQ6X9707uvPycOFiFKfXP0AhFuH9bXPatCifA6YiqFQq5t1+xjVlIUhEnE3O0Dq3a9cuxowZo/VQioiIYPny5fj7+xMTE8OtW7cYOnQoBgYG3PpsBLzkqJDLy/dMvI60FdOQZQm47N6C2cQlmnFKQkCl1NYq2bx5Mw0bNsTU1BRTU1PatGnDmTNn1OOmpTFlyhTc3d0xMDDAycmJqVOnaspjy0LYh0Mp0NUjLSWtxLn46BgenvNBKZcjCnmISKoub9c1MCzR9nWIVALGUbE8a9sOoxu3yW2hLtEuzMxAWVC5nJTHMgGXwhwtPpAiPo/SVLvDwsK4c+eOuvy8RQvc3d3ZvHkz+fn5HDp0CID69vZ8P+dbFJ81oXq/53y6fgtDZ+3FvfmgctfiaVmT8w2KfyNHosoW7CwLehIRcjEIpagRC0JJFWZBEErkVM2ZM4fY2Fhyc3O5detWiZJmLZTx1ZLFJhEz5hNEOgY47fkVXQdtFmnXRp3wDAwGwGLLcZ7WrYdvl1YolYrShqsUOnboSKdf2zP74HTNteUm5/JJ19nc2vmIsWPHlnr9ADamukhfeus2bdqEnZ0dly8XcwhlZWXh6+tbKm1AtWq2GOkacubqOfT19enRo3Jl/M+fP+fKlSt07NixRN7Qfx3vDZb/CIpCQTo6FpVqb23VA32rTJKi7r/13CbWtsilEuJvaCdCXtug5kBp3GdAmX31DA2p09yAvGwLQu48eeu1vI78fAW7tj9g3Y++LJl3jdAjEeQZiBgysykuNSpPGFYaApOy8PzrPjsKcrBWqp/gN7KK4+Y+Pj7ExMSUSBTU19fn+vXr9OnTB1dXVz766CNMTEy4desW9d1cOaFOR+LQhcrr8igTw0n9yw+LdrXRa9a5zHZ5538jP0GOcQdtMbzq1auzYsUK/P398fPzo2vXrgwYMIBHjx6RkJBAQkICq1at4uHDh+zevZuzZ8+WHi54BR2+moZCKuX2KrUApeoVA+zpJ58hmTaF87360jnoKc1Do5FLpeja2FR4rSL3Yhe6eNIXNN93AMWIj9B7kUL8mGYo88o3pFQqFVEGJtTTrfzjsYiY71XjWywWo6enp1VxA2BjmIDMyQGzykgavERDGw8SO6uToA11q/691JOIUYpFyOWlKxG/e5S0WOQp6UQNH4sgl1Fj23b0XUsPtUolUp7VLb5G08QsTg9uQ0paHCEPr1V5ExUceZ9UaQYtrIolHQxtDGnS3JZncblE34zXHH+dJPJ5ZmKVSSI3btxIQEAAzyLC2R1wjCVbVrJ8+XLMzc0rtd6rV69iZmZGx44dyxWx/C/ivcHyH0F+gZRfNqXg4dEOAwMD2rZty7176nwIuVzO7Nmz8fT0xMjICAcHB5avu01qqoLnCW8nVgfg2Fyd8Z9w5xarP/qAiDOnufrdXKJzMnA2NsdtcPllQF1Hq70st449fOu1vIrnL3JZs+AGef6p6ETkYpEqx7CdLd+u6IhbTXOttlsfxbEuKLZM6fki+D3PZOjFR9T5O4Bej8JJ1xcxy8qK4N5NkIogMLvYYPHy8kIQBNxeln8XwcHBgb///pvnz58jk8mIjY3lwIEDuLurvWOnHj8D4EZyOpVF6rJpCEqwWlC2OjWAPFwdxzfqMVDreL9+/ejTpw916tTBzc2NZcuWYWxszJ07d2jQoAFHjx6lX79+1K5dm65du7Js2TJOnTqFQlH2ztjC2ooM22q4nT1NcnIKgc1bcrmLukRbJRaTbmqGaU42RoVy8rt0xG7XDsSVSD50HDsOAVAOHYz7lGkAeC5YhERfhYEyg8yfWpD18DK8ZPZNOr+F+J8HIrz8bMMSEsk1MKa5deWMewAPDw+cnJyYO3cu6enpyGQyVq5cSVxcXIlkSz15PArdqpHRvYot6U6k5lUtx0jvpZ6PTK5843mrBm2jQpmTR/SwT1FmvcDx580YNi6/Wqbf8Ts43rqM5bnjhPWuh9vTHF607YFqyAQeXDhU6VX4Bd3ki2sT0VPp0KSutnBq0zH1sDKUcuW3MOR5amPZz8+PJk2aaEJCOy6sp0mTJpoS6m+++YYpU6Ywfvx4WrRoQU5OTgmSyLt379KjRw9atGnJwcBTLJr4LVOnTq3UerOzs3n8+DEdO3Z8HwoqBe/vyH8ABYVJjBzpRVSkjF9/3U6tWk3Zv38/3bt35/HjxxgbGxMQEMCCBQto1KgR6enpTJ0ymQXzn7NtTeAbz6tSKjmyZB5xT9SGxnU/NdPk8d3F6r6efcv2rhRBqivFwRXiQs3IzynAwPjtMuaVShWHjjzl+fUk9ASBuh/XwdJSH2cnUyxMS469+1E8C5NTADh8LpWrXg3RkYg5G51KQ2tjHIz0yJUrWBQQxYHMLFQisFdBdx0DZjVxoZaJekwbHR2i899cCK8I+6qpd+a+pmWLMr4KRehd0q6EYdmzGTrObuW2Neo/Fn4+Qs7xPVg2LN3lr1QqOXLkCLm5uWUy6GZmZmJqalrhQ9cyKRGJSsX1bxdQr7AAg8R4sjKzyOncFZvf91M/MBAQ0JFIyh3nVdi3bYfZlcvo2xbnnwj5uSgLJCicG2Eov4fRHwNJFWyQN/8SO//vAYha0RW7Sce4ERUDGNC+ZuWNCh0dHY4dO8ann36KpaUlEomE7t2707t37xIeARNVEll6XSo9dhFEIhFDTWI5kl2D+r7x/OEWTnvH1hV3pNhgKZCrMKnyzG+CYs+ASiYn6uMvkCeGY79iAyYdG1dqBFNLO0wt7ei76nfOV5uGy241x1Da88pVDV66fYZvns6njsiFXwZsxcJSO+9LIhXT9ZN6HN0UxM0tQXSe2YzOnTtrPq+js64j0ZMwcGnb4qsSifj+++/5/vvvy5x37161ZER6VCLha32guiXyQjk6ehUXPKSkqJ8zpVZfvcd7g+W/gPj4i1y/lsvmLWPo0WMoIpGIRYsWcerUKTZv3szSpUu5cOGCVp9Nv2ymZcuWJGRdISXpIdZ2Dao0Z8bzJPbNnoosX7uMukaenFhDHerZO9F5/hIMSiGKKg2NunoQHxZH0MX7tBpQNs18ZXDBJ4rMK0lk6wgMmtyIhu5lJ7Au9YtkU3o6pkroa2rCIXJZ6B9FgVzJQVkutk8ExthZsuZ5KkpdMQ4y2N/GjXpWJWm43Y30uZKejUKlQvoWZGSSl56BqXqVc42nLJ6KSCzG6tt1FbaVOtZCaiggf55c4lxwcDBt2rShoKAAY2Njjh8/XmqMPSUlhSVLljB+/PgS516HsbsbqgcPqHfjiubYncFD0XepiVSpRJ6Tg6GZadkDlAHD15Sy5RHqvAiTNn2h7XribuzDPHgrVv7fk600JM+lNzVijvFiVSseNPwBY2MHalXyu1mEZs2aERgYSGZmJjKZDBsbG1q1akXz5sX8KdmFmRiRjcqgRpWvCWBD8360D7/BouhChoRasVtxjV7OHSvsV2yw/M94WEQvv94qlYqYT2YgC/PHdu5KzPtVvNbXIZFI6T1nEw8a7Ud3xjLMHFwq7HP84iG+j11Jc3Ejfvb+BUMDo1Lb2Xpa07C+JQ8epeEWkIxD02IjV89ASm5u1fLEihB9I4Brv+6gi90weAHhi69Q4KFHnQFNMTIrm6I/LS0NkUhU6fDRfw1VemqWl3gXFRWlJeL26t+RI0fKHFMQBL777jvs7e0xMDCge/fumlLA93h7ZGT48fjxfFQqqFVzpFZM1MDAoER8vQiZmZmIRCKMTcREPN1Z5Xn3zpqMLD8PiVSHL7bt46vfT/PV76fxPnWOGYdO0nvdL5U2VgCcG7kCBcQ+rhqXQWlo1sgKAQG9WsblGiubH8WxMSOdanK40qE+a9vWwSpPxc7sTA7KchGpBJL1RPyUno6lAnY4OxLwQdNSjRWA9hbq44cSSyaZVgXDktQ7zDG9tTVz8s4fouDOOXJ+X0/O7+tInf0RydMHkx6QgVX/tkisbUsbTgtCYT6KPBEZ10tWori7uxMYGIivry9ffvklY8aM0ZSCFiErK4u+fftSr149Fi1aVOF8kvR0RAYGPP9hJdLjJ+DAISQqFdVv3UAlEnF9dknm3zeBIkKd/6Tj7IGRgyvVvReT230VWQpD5L1WU+3TnWR/sAsLUSrfPf2Krgm33zh/wMzMDBsbG8LCwvDz82PAgGIvYkxWFABWxsU76EWLFpV4Znp4lNRpEgSB3r17M8y1A1Pi1fd9bIQp15KKc7tuJwXR/fIBtoZe1+qrJ1U/6gv/p0JCLw3yuMnfke9/EasJc7AaXXkNpNIgMVUbrkaG5efw7Dr1Cwtjl9NNpwObRmwv01gpQqvxDTDVE3Np7xMUsuL7Y2alT0qugpPzb1UYCi6CSqXi9qZ9HNuwCGOpudpb098WuaUYy8eQtPwuARt9SIlKKrV/amoqZmZm78NBZaBKd6Uo8a5OnToIgsCePXsYMGAA9+/fx8PDo0Ssdtu2bfz000/07t27zDF//PFH1q9fz549e6hZsyYLFiygZ8+ePH78+D1ZzltCpZLxIOhzDA3FNG1am6VLl1KvXj2qVavGoUOHuH37dqnMiwUFBcyePRvvoYPRUYaRJT9JdGgPnN3K/hxfxdUDu5AXFmDpWIOuY8djZKadC/AmVOdisRh9wwLSk95sxwOQm5XBqW17SQ2viwgJ0rBsUjILsDYr+T07Hp7M4qQXWBUIXOreEEt9tTv3cGs3vvKPwMPAgOUta9HhfBCNjQ3Y1tutwusaX92GHyOTWBaRyEgHqzd+IbpamgMg5GaSH3gTgw59EQrziZ5aupta10yFxYyllRtcoQ5ZiSQlr0VXV1fzfWnWrBn37t3j559/ZuvWrYA6/t6rVy9MTEw4fvw4OqVIMbwOZUYGEjMzOg/qX3zw53UovYciVQk4XblIetJzLOyqVW79ZUAeqy5p1XH11Byr1mkkdBqp+b95iw9JUYLJuc/xpmT5f05ODs+ePdP8v0i129LSEicnJ44cOYKNjQ1OTk4EBwczbdo0Bg4ciJeXl6bP8+woABxNtF3+9evXx8fHR/P/0l5Y69at03xnHExq8Jl5LL9m1MD7SSE8CXx1NKKiwpnwSvRP9+XnWVhKldA/AgkkfLua3EtHMRs2Edvpo956SPHL75NKXnpYVaVSsfbocnbn/cYw44HMGbQIibjiUKJUT0qXjz34c9djfH99SLuJ6uRmczsjeJJObEoBKY9SsfUsP+E7Pz2Lv79fQVRCEPU9OuGgU5vcrEw82nakelt3suLSiD4djHm0iLwtoQSaBWHTuw6OjYuJ+tLS0rCyqppn77+EKr05yku8k0gk2NnZaf0dP34cb2/vMlUqBUFg3bp1zJ8/nwEDBtCwYUP27t1LQkJCCVKm96g8jvwxhzZtjLC1NaRzp0Cioj7k8OFzCIKAo6Mjurq6TJo0CalUSmhoqCYjHtQJuN7e3hQUFJCbV8Doz+LoPyCSUZ9+xNOHpXtjiiAryCc5OpIPx0/i68N/MW7tFlwaNdXsGidNmgRAeHg4H374ITY2NpiamuLt7c3z588rvC5Lez0KC4xQlpPIWRZUKhV/bjxN6rMGIEhApMRQJebk2ZLevwKFiq9CYtEvVHHXq7HGWAGob2XMWa+GrGtbBwOpBL8+Tfi1o0eljDBdiZgva9iQoVCyOPzNeU70TdW/p6hvxhP1+des+2I09e2r0SIslBZhoQyPjuJaTg4OE/tR5/wxHC4HMvW7pVhZWWFsbMzgwYNLv9+CQNxw9cvVsoNLhetQqVSa6pisrCy8vLzQ1dXl5MmTld5sqPLykFpre7nqetYn1E0davLr0QfTKoZmSoM8PhaxroDYonwvk3XrDwm2a0+dND/kr70YX0/InDlzplZCZmJiIqNGjcLDw4OpU6cyatQoTUlzETLyYpGhS3Vj7XJ5qVSq9ey0fu2eBAYGsnr1anbuLPZ2Lm3Sjx21tTmMGgqB9BJOkSt1JjijeBevr6N+cf/THhbVS4Mo58oZMo/9irHXcBwWTXknY+voqL9TcnlJ3iaFUsHCw7PZnfcbX1qO49vB31fKWCmCYys76tYy5UFQKslP1B7QugNr03+M2tPlczC03P4J/o/ZN20ycUlP8Ro8iV6LZ6GTrYPMtPhZZVrdEs8vOuE4rw05TXTRzxEh/BZH4I8XSI1U/x7T0tI0KtnvURJvHEhXKpX89ttvZSbe+fv7ExgYWG5pY2RkJElJSXTv3l1zzMzMjFatWnH79u0y+xUWFpKVlaX19x7FCA8/SK3aukyfro6TW1q0o3bt2ly9epWcnBzWrVvHV199RcOG2vJfRcZKZGQkeXl56OjocOnyZc6dPo5CLjBgUE/y8zJKzCeXydg8fiQbxgxl3zdTmNa9HUG+t0lMTCQxMVGTHzN06FByc3Px8vJCJBJx6dIlbt68iUwmo1+/fhW6XavXs0MkMiT2cUSl74VKpSLo5mV2zztMeowDru1fsmcKEozsgtEz3EahXNsAGnMzhDw9MctrO2KkW/mHXmUwp5Y9NrpStsW+IFX2ZtwSDZzVn2twgfoBrnv6ElMNzTji7MLJVh60MjRiSmI8cd3GIHWqy8yvvuLUqVMcOXKEq1evkpCQwKBBJbk/FPER5ISqf0vms7V1pObOncu1a9eIiooiODiYuXPncuXKFUaMGKExVnJzc9mxYwdZWVkatlSlsuwXpEomA4UCHYeSXDf28+YS2rMvw1f9UIJI7U2gSHqOjknlPktJkxE458aQkKBdRt+5c2ei4x4jLDRFWGhKZPg9BEFg9+7dAEydOpXY2FhkMhnR0dEsWbIEXV1drTHy8+NIF9lqPB5FCAsLw8HBgVq1ajFixAgtjZ68vDw+/vhjDQ/Iq+hToyXXmtrg28yKpC6NWeduxVB+QyTIWfTojqadvlR97QUKJRHhIZw++Tsq4d17W4R8BYUJgaw8vgKv+ATcti+ndu3aLFmyRCv5uKz0gZ9++qnMsQ0N1CGh/Hzt571KpWLM0W/4s+Acc6vNYGK/GW/kvWw3sSHGUhEXf32IUqnilu9NJv4wgW/3eTNiRXt2/7xHq/2xY8fw8vLCwswcx+b1ic/I4uMFq/D07k1hVi5GmJJpImPUqFHY2dlhZGRE06ZNOX3uL+p91BrXhV3IaqaLUYaYnK1PCdx4idzUrPcGSzmossESHByMsbExenp6fPHFF2Um3u3YsYO6devStm3bUkZRIylJvQOoVk3b3VutWjXNudKwfPlyzMzMNH81arxZAtu/ES9SLtKihQ4//bSd+fPV9NKv/niNjIyYMmUKU6ZM0dIGKTJWwsLCWLBgATExMezevRtPT086dO3P5rU7CHuWx/pV3VAqtHeex1csJC8zQ/N/hxpOeLZsrdktnj59mtq1a9OpUydu3rxJVFSUZmxPT0/27NmDn59fhUrDrs3V4YiooMpRdofev8PueUe4vk9AEFR0GKXEzLL45eg52AU7owTOBRTr2cTnFHBVVQhiEcPdS9LfZ2dnM336dJydnUuUh4M6H8HDwwMjIyMsLCzo3r07vr6+mvMikYit9ZxRAV+HvBn1eD3nGugXFhBkpPYWdDE2oZOxMU07O9H11iPWXzqBsZk5d+7cITMzkx07drBmzRq6du1Ks2bN2LVrF7du3eLOnTta44rNij0ZEkftUGFycjKjR4/G3d2dbt26ce/ePc6dO0ePHj0ICAjA19eX4OBgXF1dtdhSY2PLvsbCl+EV3VIYQNu0bMaAn1ch1StdtqGqkKekI7WomHQOIOVFBDKRDrnJoQQ+vUHc83BS09QeMbm8mHguNzelyutQyRIokGh/r1q1aqXhrtm8eTORkZF06NCB7OxsAGbMmEHbtm21cmGKIBKJcDNzxNlU/QzMK0xHnwKqq0K4KXOhxvlT9Lx2hM+fqjeACWci0d2eTONbDlxZdojohMob/5VB5tkbbDi7jN+zsvll/z6ePHnCypUr+fHHH9mwYYOmXdFmpuhv586diEQiBg8eXObYZrZqEcLCFO2S7i7HhxKUf4E2Zl/wca/SxQ8rA11jXToOciUtV4H/3icaZuN5H6vzqG79Ha21qcrNzaVVk2b0raumG/hg7mxs6qm/yy/8QxGLxMw/tJ6QkBANb8ugQYPw9vbm/v37SHWl1BvaCqdv25LpJsI0TsSg3JZY6bwd/9O/GVU2WCqTeJefn8/BgwcrJI56U8ydO5fMzEzNX3kPxf8SYuP2EhQ0HqnUFBvr7lrnzp07x9mzZ4mMjOTChQt06dJFQ6stl8sZMmQIfn5+HDhwgIKCAkQikYZPAsCj6QDEIjGPnkVw4UxjIh6fBuDOsd+JfRSMo0d9XFu2wcy2Gp+u366ZVyaTsX//fsaNG4dIJKKwsBCRSITeKy8ifX19xGJxmQnARbCoZgbk8TyqmPgrPzeT+IiSCaIpiQlc2v0ChQw6jFLwyQ/DaNiuB4amOuibJ9H/K1uaNujPi4I6pCfv1uz+ZvupH+C/1K5eYkyAzz77jAsXLrBv3z6Cg4Px8vKie/fuxMeryafc3NzYuHEjwcHB3LhxAxcXF7y8vHjxovgh29bCBBd9Xc6lZJL5BuEtHYkYiUpForUtNiN7ASDRB5uNJ1EqlRx/EqfxfPr7+yOXy7W8mEWcIa97MXP+2AZAtcGNS+xQd+zYQVRUFIWFhSQnJ+Pj46Nh7iwqBS3tz8XFpczrKHis9mDo/Q9opSjS89CxqtyLwCThHrqCnHp/fUbj3/pSfXNTzNfXJ/D+KcRHxmjaZeZkVHkdUkUSKh17rWO9e/dm6NChNGzYkJ49e/L333+TkZHB4cOHOXnyJJcuXapQqbgIBXL1b2NWzeroyGKQ69TggbIOkWI77PIKMShUV38F1orEJdceyfp4/tqwh7yCsoUAK4ucm0E8/34WD1QwYNhH9BvQHxcXF4YMGYKXlxd37xYz9L6ePvDnn3/SpUuXcunrDc1tKNSBgufFuZLe578mLScUmV59utUoTupdsWKFhuitCJ07dy7h0fniiy+05nDpWgM3RyMC7j6nVd22LF26lK9/maY5//hYcQ7TqFGjaFwowtlandSrY1As4ZH1JAm5qhD/hw+YMmUKLVu2pFatWsyfPx9zc3P8/YuZu/WMDWg4riOWw9zRQwen6u834GWhyr7WihLvAP744w/y8vIYPXp0uWMVuTefP3+ukTAv+n/jxo3L7Kenp6f1wnsPNZ49Ww5A61Zn0dEx1zqXmZnJ3LlziYuLw9LSksGDBzN+/HgaNWrEixcvOHnyJIDWfXdxceHMmTN06NCBOXPmoFSpyMusj45RIqERM5FKrAmPWI2BaS2Gzl+KpJQkyxMnTpCRkaGh+W7dujVGRkbMnj2bH374AUEQ1GMrlZVSM9U3zCMrRYIgCDy67cvVveqy6fE/O6Gjp35gKBUKzm6/jEhsyEfzOmJmWfzdati+M6/Si9g7fooidQ7XH19F36YplwoLcBMkDHIqWT2Un5/P0aNH+fPPP+nYUV2e+Xp5+Mcff6zVZ82aNezYsYOgoCC6dSuu6lnuVp3hQRHMDoljS32XCq/7VQSH+5NrYEjXHvWwavM1YomS6MZdMbW1L1FyHBgYiK6ubokyydK8mPLIUBAJmM/555SaX4UsQp0Iq1+3ZEXMu4Y8S45xtcol7qpcOqKK9+F+67lY1WxNZk4GOjd+wurCHBzyErjZYDztHm5DKMio8jqMlMnI9bqW28bc3Bw3NzeePXtGcHAw4eHhJT6/wYMH06FDB668JuhY+NJg6ebgSaxrNVQqFbODL+NqZMYE11bwUrKqOh0ICX9E+NkgGsXW4vGKCzRbOOCNE8ELQmKIm/IlEhMruk7ow44D+wgNDcXNzY0HDx5w48YN1qxZU2rf58+f89dff7Fnz55SzxdBLBaTbSJFnqzO95jvf5AniecwNmpEpNXXWBmpw2/37t1j69atJULeAJ9//rkWh4qhYUmvW4eJDYlZcBu/fU/xWtAK8cv8HysTHXwvx1PHywWpvgj/LX8QlRiEm31L4LLWGKqkAnKlBbRt25bff/+dvn37Ym5uzuHDhykoKKBz584l5pUWikAMejblVzX9l/HWTLevJt4VYceOHfTv3x+bCmi0a9asiZ2dHRcvXtQcK0+b4T3Kh1RqSs2a09DTK/lg9vb2Jjw8nMLCQhITE9m4cSOmL8sEbXQtkGcUaO2Mz507R61atejTpw9mZmZkZGTQtGlTbBw8keR2QMdQSUj0SOyaptJ+TI9SjRVQfxd69+6Nw8s8BRsbG44cOcKpU6cwNjbWGrsyiaumNhJkBRYc+uEwV/fmIdHNASAsqFgg78zuQ2Qm2tJ+mLWWsVIaOnh+SFphNdaH+9H/UQQqXTFrm9Ysta1CoUCpVJZIKC2rPFwmk7Ft2zbMzMxo1KiR1rkuVqZU19PhVHIGuYrKJ0LKZQV8GpaCiSKX7g1aIRKLsZy7nvrd+lTo+awIOjWcQRCR+/eBKvV7U8hi1J5RXafKU9S/CVS5WSgLROg4VE51u22PqRTMT6FZr9m4uHeiUbMByNt/TY28OCSo0LF0QYkYQVG6aGdZyJfnYkQ2RgblryMnJ4fw8HDs7e2ZM2cOQUFBGrr4ogT5tWvXsmtXSXHSAnk2SgGMddWVeWKxmJ8adWOCa/MSbd1r16f7xGE8cU3ArsCKB0/eTBVd9jydmE8+AxE47dvBvCWLGTZsGB4eHujo6NCkSROmT5/OiBEjSu2/Z88eTExMSs2reh355gaQksaaR39x4uFKHG168qP7jwBYG+uRk5PDiBEj2L59OxYWJZmKDQ0NtTw7Rc/AV6FvZUDNOubEJOSiyCuuSrStbkyBUuDq2p2sG/Uh128ewMmoHu1naoehBEFAv8AQwVrC4cOHkcvlWFlZoaenx4QJEzh+/Hip1ZmKF/lILfRLrdB7DzWqdGfKS7wrwrNnz7h27RqfffZZqWN4eHhw/PhxgEprM7xH5aCnZ09U1CYEoXIvQEWW+oGbduAJScvvonqFg8DLy4vw8HCSk5NJSUlh3759xMfHU6tWLWrXU5eCiqXqMEpmRlCp40dHR+Pj41Piu1De2OUhJvQyIgt11UVOqi4thiQzfm0fpPrZRAWrkxQDLl0n2s+R+t0zqd+qQ4X3QCyWomv6MTHGrkjlMpZUs6GZbelEZSYmJrRp04YlS5aQkJCAUqlk//793L59W8s7dPr0aYyNjdHX12ft2rVcuHChRNUHwPeujiiB757FlzhXGgRBYMKlU8Tq2rCnhgQrs+INQZHns1mzZixfvpxGjRrx888/Y2dnh0wmIyMjQ2usVxVmBZWK51OGEL/6IAD6LTpVaj1vC0VSEkiliP5hzglFiDrHSMex8oaR4WtrsnMp1qHRVcnI1jFGnF95aQSAuGy1gWZlpB1u/Prrr7l69SpRUVHcunWLDz/8EIlEwvDhw7Gzs6NBgwZafwBOTk7UrFnSsJYrspEJoCvVLXGuNIhEIup6qSnrrfcWVDk0pMwtIGbkeJTZKdTYshX9WjU4fPgwBw4c4ODBgwQEBLBnzx5WrVpVpgdl586djBgxolKVZXJLE/KTEtjptwBL81b86bWC8Cx1XpGDkR6TJk2ib9++WiHQV3HgwAGsra1p0KABc+fOJS8vr9R27p2rUyhAzPXiaj7f+CwcLPTIz1V7eD6auYzBv65AYqB9r7MiE9EXG2LoasWCBQvIyMjAx8cHPz8/Zs6cibe3N8HBwSXmVKTkI7V+e2X4fzOq9KQoSrxLTEzEzMyMhg0bahLvirBz506qV6+uxT3wKkJCQrRUXL/55htyc3MZP348GRkZtG/fvoQ2w3tUDiYm9cjODkalkiOpBJV5tk+M1v/lSbnoOWm/rItetJcuXSI5OZn+/fvjWLMOEU/b4uA4gIjolchlpYsS7tq1C1tbW41s++sobeyykBTtT0jkeIwd9ajpEULTTl9o3NeWzpk8D9ch4pEfd47mYe0WSccPP6/w+ovQrekIFt6+TUvpHT6vV77mx759+xg3bhyOjo5IJBKaNm3K8OHDtWLSXbp0ITAwkJSUFLZv3463tze+vr7Y2mqX1PaxNYdHcCAxjR/dqiMpx8NUKJex8PYl/tarw2aDKNp6DCx3nUWez2bNmqGjo8PFixc1CY0hISHExMRovJh5RzaQdkHNOyLRE9CpVTVW4zeFIjUVscE//4CW31OHO6WWb05Kb2tZnWvuYzDMjsO95UieBx2A9KgqjZGYrf692RtrG05xcXEMHz6c1NRUbGxsaN++PXfu3KnQQ10a5MpcBKFqO/TqTi7csPPHJcmWq3+cpPfI4ZXqp5IrCW2mLvF2WLUZoxbq782sWbOYM2cOw4YNA8DT05Po6GiWL1/OmDFjtMa4fv06ISEh/P7775WaM9fMCMsIASPjuvzVZz16UiktalnB0yyW/bKDgIAArST4V/Hxxx/j7OyMg4MDQUFBzJ49m5CQEI4dO1airUNjG/QlCp7cDqNWTzVnztmGhlg2NMHkvhkNrd2p3qpRiX4AKYGR6AHZFlI2btzIw4cPqV+/PgCNGjXi+vXrbNq0iS1btmj1U6Tko+9eef2q/yKqZLDs2LGjwjY//PADP/zwQ5nnX9fVqIw2w3tUDkaGrojFBuTnK3j2LFBz/HWCq7S0NKLCInjoq24TnqZ+kHo8t8P5pcGya9cu6tati42NDbdv32batGnMmDFDI8DXqe8+AGJjD1OoUzL0oFKp2LVrF2PGjClBglXR2KUh5OF6BAl07HIJQ2PtF3+Nuhb4nzDizIYsjGzS6DdhMOIqcDAYG1gwxDyVzZltic5+jrNJ2bkOReXhubm5ZGVlYW9vz0cffaTlHTIyMsLV1RVXV1dat25NnTp12LFjB3Pnzi1z3E0xL5jqUvq8iS9i+OxeAP4GLnQpiKB/h35a5+fOnUvv3r1xcnIiOzubgwcPcuXKFc6dO4eZmRmffvopM2fOxNLSElNTU6ZMmUKbNm1o3VqtQ5N24Df1fVw8Bf2OfSp9394WqqwsJKW47d81FPnq74JO4x4VtCwbIpGIjsPXa/7/2NqT6kl3y+lREql5cRgjooaJdkjot99+q9I45akVKxS5QNVL8dtNG8TVdUeo+cQSpVJZ4YZHEARiv5wHgEHL9ph90FlzLi8vr0R4VyKRlEpbsGPHDpo1a1YiZFoaop6G4uwbT6SDBSf7bMbkJS9LfXsz7C8ksm31Iu5cvVzmZvdVqQhPT0/s7e3p1q0bhw4d4uDBg/j7+5OYmMjx48fp2rg12WnbSE3O49BAdRFB5pI5bDMxRadZK4a06kJRXCEuLg6Avn37kpaWho2xOYPcejJyyGSgJFFmafdCUAoo0gqQ2rz3sJQL4V+AzMxMARAyMzP/t5fyv4q4uEOCz8VawqVLPgJquVStvzFjxgiCIAi7du0q9fx38xZoxpo9e7ZQrVo1QUdHR6hTp46wevVqQaVSlZjT79oy4YJPLSEzLU7r+Llz5wRACAkJKdGnsmMXISEwQHjy03rh0h8flXo+LTle2PjlOWH/0r1CblZOZW5VyTHyUoSal24IM/1OVq1fWppgZmYmbN26tcw2tWrVEhYuXFjquXsZOYLDpftC/evBpZ7Pk8mEbqdOCS4Xbgvn/P4utc24ceMEZ2dnQVdXV7CxsRG6desmnD9/XnM+Pz9fmDhxomBhYSEYGhoKH374oZCYmKg5/9jdQ4jp17oSV/tu8djdQ4jwLv0zfZd4MXeU8NTT/Z2Nd9NnoyAsNBX8tg+uUr99/kuEPy42f2frKA37r/YRDp2v/0Z9g/zuCrGzrwmBt29X2DZh4S/CY3cPIWHh2hLnxowZIzg6OgqnT58WIiMjhWPHjgnW1tbCN998o9UuMzNTMDQ0FDZv3lzhfM9j44Vr7ToIF7p0F5KeJ5c432X+WgEQJBKJ5g8QRCKRIJFIBIVCUaJPTk6OAAhLliwR5s2bJxw7dkz9/9FfCBuGDxGWD+ojTOrSXnCyNBcAoevgkcL2HTsEaW03wdbRWUhNTRXu378vLF68WACEuXPnCqdOnRIWD5woWBtaCFMnTxFcXV2FDh06CL6+vsKzZ8+EVatWCSKRSPjrr7+01qKSK4XYOdeEHN/EEuv8t6Mq7+/3Bsu/CEFBk4Sbt7pW2K4wNkuInX1NiJ19TUha6yekHnryxnPGR94QfC7WEh7f3f3GY1SEwO9+E2JnXxPCDu0ss01edqYgk8mE+fPnCy4uLoK+vr5Qq1Yt4fvvv9cYQzKZTPjmm2+EBg0aCIaGhoK9vb0watQoIT4+XhAEQZjme1ioeemmkFFQttFz9uxZ4cyZM0JERIRw/vx5oVGjRkKrVq0EmUwm5OTkCHPnzhVu374tREVFCX5+fsInn3wi6OnpCQ8fPixzzCmPo4Rql+4L19OySp67eleodum+sP7XCULCrd8re8sqjZw/dwiP3T2ElMWT3/nY5UGelS08dvcQQrt1/8fnSvzESwhv+2Yv8dIQ9EsvIWlZTSEjJ71K/XbemijsvdLnna2jNOy71FU4cKHxG/VVKpVC6NwLgt93J4SCwoIy2yVv+UN47F5XiJ4wp9SNRlZWljBt2jTByclJ8zucN2+eUFhYqNVu69atgoGBgZCRkVHuurLS0wWfHr2E663bCuHPIkttc+TyY8FqxxGh2y9/CMHBwUJwcLDQvHlzYeTIkUJwcOmbgRs3bgiA8ODBA0GlUgkRPncEQBjbrrlwYOJ04c9Dh0vd2Om27iAAwqpVq0o9P6PdWGFe5y8FFydnITQ0VBg0aJBga2srGBoaCg0bNhT27t1b6noSfrgjZJwt/fr+zajK+/t9OvK/BHl50SS/OEf16iMrbCu1KS7lkyflkRf4olw3c3kQXlJxpySXHjd+WyT6P8aiwA6FXi7SJ7YoZfmltjMwNuWnn35i8+bNbNy4sVTCqry8PAICAliwYAEBAQEcO3aMkJAQTe7MlDrNKRR02Rp2vdQ5QF0ePmnSJDw8PBg9ejTt27fn3Llz6OjoIJFIePr0KYMHD8bNzY1+/fqRmprK9evXNTHs0rCotiMi4Ptn2nT9s67e4YhCSse8dEbHn6HQ/2AV717FkD2+D4DFzEpqDb2reV+WNBu3b19By7eHPCUDqcW7c7UbNxtBNVkqgWdXVqmfWJ6EQlqSjPCdQihEJapYw6k0iMVi8vQKqVZoyaVDJfM6ANL/vEbK+sXo1W9N9Y1LSi2DNjExYd26dURHR5Ofn094eDhLly4twfo7fvx48vLyMDMrmx+nML+Am+PGY5ryApNftlCrtkup7Tq3rI20pisPPWqjY+tEgwYNMDIywsrKigYNGhAeHs6SJUvw9/cnKiqKkydPMnr0aDp27EjDhg0JPXqFY9uWqO+DSMKg5UvoP2wogiBw/p4fq7z7ci80jLvPwjEc/DEikYjPP/+8BO9QQWY2M9uPIzU/DSsba+rUqcPRo0d5/vw5ubm5PHjwgFGjStdVkljoo0grKPXce6jxXhLyX4K8/EhAhbGRW4VtxXoSqs1oyvO1AW81p6wwi6fRYwEolMeU3/gNoFKpeHHsCYYYYz2qBjm/ppF09SKOPUpXfb116xYDBgzQJPm6uLhw6NAhDWGVmZmZRiagCBs3bqRly5bExMRQ26kmnfX92ffCkhlKBTqSkj8Pb29vvL29S51fX1+/1AS+imCpK6WxiQH3s/NJlSmw0lXPu0+lDyJY2aYxaUndsIv9C0VhHlK9yjG2VgaqggJEEgGx8f8su2ZhmJqAy6hli398Lnl6Lga1yi9vrwpqthzJzcQQ2t/fSEqrj7Gu7llxJ0BfmUyBwT/LOSMSZAiiylUIlQb7CU2I2XIXzyfV2bfpD2ybt8KrZXVEIhE5tx/xfMFXSO1r47xvE+J/uLpLpVDg8+VkHMOekrthEy2alH2frQ11+cvEhr7ZL3iRXoD7a5V+urq6+Pj4sG7dOnJzc6lRowaDBw9m/vz55KdmcfnEr5q2zbr21+h1AWTmqBmHrUxNECmV5GxbT7PuPUotidYzNSY47RH7A0+yZsPPJc6XB6mlPoqU0jdk76HGew/LvwRRqeqdcmTUpkq1l1oboudmgWl3J2ynNqkSYdRD321cvFSb6zebaI41a7eqaguuBMIOXcZSaYuknSnmrvWROcYiuyvTCKy9jrZt23Lx4kVCQ9VCZUWEVeWphWdmZiISiTTEXOOcXHiBJXeeP3jn11MeFtRW89QsDU9AplAw5YqaNn+GvoqalhaYtvsUAwpIuvHuOFKEwnwyfW6hb/c/X5FXRMuvV4qsR3x8PCNHjsTKygoDAwM8PT3x8yvmCMnJyWHy5MlUr14dAwMD6tWrV6Li4lUoshRIq5UvelhVePb6lhe6lsReWVep9iqlErfkGEyk/6xOjFiQv5XBYmvngOvMjgTXjGZBrAETjgeRnJRLQWgc8VO+RGxkisuhHUgM/9nkUEEQODt7Ps6+t3i+aAntOldMUXD8pZSBjbGaVPTKlSsahuAaNWpw9epVUlNTKSgoICwsjB9//BFTU1Mur/mFAkUuI75bC4BDE+3vZOxLFmtrYxOmTJiAjlKOcsyXpa7h2YPHfHlkCV7NO/D555WvVIT3HpbK4L2H5V+AuOw4Vj3Yz+dW8Fyn7NDDqxBJRNiMa0BeSjzZz5+gSMpCochBIc9CocxBocxBqcxFqcpFKeSgFHJRCNnk6JXkXCl84YCFTcWenfKQHhaLnrkJhjbmADw9eBHDIAkZRqk06D8QANPOtSg4IOeF/zWqtexcYow5c+aQlZWFh4cHEokEpVLJsmXLyiSsKigoYPbs2QwfPlyzW2pn1xCdsEBupiTRwaFZqf3+CbS1MMFSKuG3pDRuRkQRY2BCJ3k2E9uoPRBWHu1IkdqhenAYulXtQVgWMlZPpzBFhcumBe9kvKpAHh0NgK6jdsVMeno67dq1o0uXLpw5cwYbGxvCwsK0SMBmzpzJpUuX2L9/Py4uLpw/f56JEyfi4OBQojRelZ2OslCEjuO7pTs31TPgXr0RtAvazIv0JGwsyg/1PIu4TZMnGXhE/YSq7ieI9f8Zw0WMAsRvZ4Cam1ri9ekwmH8OgE6rz3P81jZEShnOh/aiY/PPi/OdW7OBmn/9ydPpX/Ph4JIaSqXhfm4BGIGbfek8SqUh6so9njy7QZtOH2FXv3SJCJFSSaFIzOiRalHKMctW8LeFHSqVSqsCKCEhgR69etLc0ZNfD5Qk9asIUkt9VDlyVDIl4ncsuvpvwXuD5f9zPE17yvC/hqMjlhIr10U36Qiq+nMrxRobdvlnYoT1JU8IIsRKfcRKAyQqQ8QqQySCITnGamMl/4UhTVpuRl6YRXZGFI5dSidpqgwK03OI3HcD4wQj4nRfUH/BAB798jcWieZkmKTh/lWxd8SyfkuiLP9AdkMFLUuO9SphVf369QkMDGT69Ok4ODiU4H8oEnsUBIHNm4up6PWlutSRJHM/W/768P8ocgsKsJPlkSbWI0VHn201zOlfp4lWm2yXXlR/tp/C7FT0TKzKGKlySHh0hgcXruLZvAYG3coWnPunIE9KVJPGvcaQvHLlSmrU+H/tnXd4FMX7wD97Pb13SEgooYSOUqWLIlVREAugIBZQEFFBVEAsqMjX+qOJIFiwIFIl0ot0SOgQShJCOun92vz+uOTgSEIuEARkP8+zz93tzszO3NztvvvOW2rbRHG9OkDarl27GD58uDW8+ejRo5k3bx779u0rJ7AYz1kCdKlrVxy9+EZo2XUMHJnDka3f0OPhGdcsm3HAYn/kUFSE/vOGlPT/FMe6D6PU2n9ztQeVMGJU3HjaEqVKhUapR2/SMOrYasiMJ+/pl9DVr3PjnayCLct+J2TBHI4/9gSDnrc/meHB0oj2JoMJlbbqW5tJb2DT93PxdA6i7ejKY8/kXUrj512HULi6s2XLFp7ecZDgwhyba2xiYiLdunWjWcMmfHbPJPIT0nEPqd4ypMrDImiasopR+Mnh+StCFljuUDKKMnhzx5vsTd5LbZfazO46m8SUNZAyh2NJ62lW69rxNAyF+SSY5uCu70Ro0zGoHFxRa11QaV1RqZ2QpPICz5l1qyhM2IFX2ycJCm1xQ/03m8yc/3kHiiN6nCRHkMBD70PSO7vwwJ3coDyajO1vs1SlUChw6OCOaY0DGXsO4dWulU2b9gasKhNW4uPj2bx5c7m16BaORiLzPBBCXHduleqw6cRpJp5PIcXRlW6SgQVdW+CsKa/W9+z8HOqzi4nf9h0hfV+/rnMJk4l5C9vwjdYII9TUykhl0JIJPNr3ddyrSGNQk5gyMlA4lb8or1q1igceeIDHHnuMbdu2ERQUxEsvvWSjXu/QoQOrVq3i2WefJTAwkK1btxITE8P//ve/cu0ZYk8BoAptVONj8HT3Y3/tXtQ5vw6DaTrqSkKqGwwlNDy/hn8aP0tEViRuyYlofn2FzODZaDq/i9qjARqPxkjViB1UGSrJhEJZMzZOal0e+gIvTtVqTp+4PTgv/T8Kxo/Cycl2OaioWE9m/EWCwq8dqdoe/tm0Fc/33+PUfV15ePoUu/9/pxIvByO1R1gB2DvvJ7ILU+nz/BSOHjtm3X9l3CqFQsNP/5tNfF4hkT/9gclkwpSdQZpSR1ZuLh6uriQmJtK1a1dCQkKY9dlnZCw4Q/7BFFT1fK3RpO1B6WkRWIxZJahlgaVCZIHlNie7OJvMkkzMZjNZJVnolDq+jv6aXUm70Cl1vHnPmzze8HFUChXBzn7sSJ7DyfjvqxRYLp3ciVAYCG0yFs/a9hk+BrbqRNZ2Dwpds6DF9Y/p4sYojBuy0ElqsnX5BA4NxyzMpC05jCuelNyroPEjFffft203ktfsoejPAmhne8yegFVlwsqZM2fYsmULXl7lNRVtPbz4Kc+Fcznx1HOvc/0DtYN5h08wI70QN42On+r706125UKDW3AEqdpQVCdWwHUILFmZ5+i8eiCUPoBPdHmIPVkH+Mr0N3OXb6BnUShPdHyRZq0rt/mpKUry9ai9yy8tnD9/njlz5jBhwgTeeust9u/fzyuvvIJGo7EKnV999RWjR4+mVq1aqFQqFAoFCxYssCakvBJDgsUbSV3XPsPY6qKLGEjdtaP454eRdBxe8TLAsaiVtDTk4H/P07iGzCJ35zu4bv4Gzwtx8MNlDUJuv6loandB53v9S5EqzCgVNWNfIikE9YPT+XbmeHZ8VwvvT95hz9IVdHnucQx6Aw4OWi5GHSNv6GMAqNdvxLeOffmaKuLgnv3oXptAYqPG9Pnq82tGfr6a14/EgQ5W1a44y/rV5MansH/XShrW70iKooRuLTtYj02YMAGA4cOH0ys0glMXLWk3Ot/X1qaNwRc+YsM7k9iwYQNnz57l7NmzNGhxRZTo8dcO8nc1SlcNKCVMWbIdS2XIAsttzjORz3A2+6zNvjC3MB4KfYiJbSbi43g5fLejxoNis4RD4QGKDPk4qJ2vbs5KSuoK0IFbkP0Xcid/TxJENobz9ifru5r4NXtR7tSjktSYW2uJeOxh6zHvmXWqrK9UqxEROUjH3MhPicfZP8R6rF+/fnzwwQcEBwfTpEkToqKimD17Ns8+a7kpGAwGHn30UQ4dOsSaNWswmUzWjMWenp5Wt8uuAY3gwkW2pZ65KQLLzviLfHMqliNCRYbWgZb6An67vyPO6qr/jkX1+hJ8/GsK0i/g5FO9pIEz1lu0FH4mM38N/Qe1gzvDgaT4E/wc+SmrVAdZe+wN6u2cisFVRwdjHcY98RVOTjXrQZQXm0QxDuRpy9uVmM1m2rRpY42W3bJlS44dO8bcuXNtBJY9e/awatUqQkJC2L59O2PGjCEwMLBcDhljYiJKrUDhenMi6ja95zEOxu2i9ckfMJlNKCvQkojon4hxbUiDUItG0LXzh+TrC3DeudimnOvq6QDkt+qPc/+l1e6LEAKNJChW1dzTednttuOIR4j8cSl1Pp/Bmc9nYJQUnGvZBdeEs5SJ2FqX6z/viSPHMY4dQ3atYLosXIBGZ/+yVnGxgf06S09b1LHPvmbTl9+glFR0G/cCjj4elQoWi54dzbJX3mDcQMuSUVLX5igkiRmbd/CN5MLiXXsYMWIEI0aMYPv27Xz66afs3f4P6blZLP/9d2s7BoOBt99+m3Xr1nH+/Hnc3Nzo2bMnM2fOtCaGlRQSJ/Jj+eilSUTFHkOpVDJo0CBmz56Ns3Pl1/K7CdlL6DbmUtElq7Aytf1UOgZ1xFHlyPz75/Nx549thJUy9JpaOClh+f4xlbZbmJVEjnIP7iVdUKqqZ6CndzOiybm+OA/5yRmYtueSpU7H/712BD9WgSGKHfg93BmTqpD0Tf/Y7P/qq6949NFHeemll2jUqBETJ07k+eefZ8YMi31BYmIiq1at4uLFi7Ro0YKAgADrtmvXrsvtO3oTLKWwKyv3uvpXGevPxtFj/Q4ePX+JLRoX/MwGJuhM/NGzvV3CCoBPV0t48fStC6p17ik/9WCDIR2Ajc8eR+3gbj0WGNKY10YvYsPIPXzgPpyz7kXEK7L4WRPFCwsrdiG/EfYu/AdtSTYO9csvIQQEBND4Ks+hRo0aceGCxW2+qKiIt956i9mzZ9OvXz+aNWvG2LFjGTJkCLNmlfdUM6SmonKp/LudOXOmNQlrGcXFxYwZMwYvLy+cnZ0ZNGgQqamplbahDmmHzqwnMf1iuWPZOalEJO8gvfGjNvsdu3xITqenMb+dBtNyyGxzWavlfGgV+Wer7x5vMpWgkECldGL79u3069ePwMBAJEnizz//tJYzGAy8+eabNG3aFCcnJwIDAxk2bBhJSbZxgCRJWG/kCoWCVvO+RK9QYZQUnO30EGHR2/HKSCYmrAVFKi2untcn2J47c56s0c+R7+FJ2++/w8m1ejmfskuTuE7XuqJRVX1LOxe5i/MXo2jfawiOPpULsmnHzpBZkETjjl3pISzXvJJSD8UpXTsSmnOJJSnZAOQnXuLId+up5xnEO/e/AIDiivQGVcWAAovR7pBvx1LHsxZ79+5l/fr1HD9+nBEjRlTr+/gvI2tYblNMZhMTtk7AXevOt72+JdwznEcbPFplvUc7b2H5rsF4Fe7kdOouwv06kHz0L04nTsKxpAEtesznyM4xmJzyqVt3fLX75VDPA4dDSvITL+EcVD4D8bWI/3EXTjgR+lIXVJrrE3oANE6uiMbZKE54UZKfhdbZctEpC1hV5sp4NXXq1LFbRdvSoYADRdefLK8MIQS/nzrH53EpnNM54yWUTHAUvNKqKTo7hZQrcfIJJtGxMbozq4FrG3oCFBdl039ZZ5IVgoZoWNC38iRzGq0j/QdMpD8TOXh6KyP2vEy0W7b1+KkfN6PUqKj7SEebi7G9FKVlcW7tAc6mOBJkKsapYXlD2I4dO3L69GmbfTExMYSEWDRpBoMBg8Fgd64aY0YOas+Kn/z379/PvHnzaNasmc3+V199lbVr1/Lbb7/h5ubG2LFjeeSRR/jnn3/KtZGbl4HTjk/IVzrg7lzegPbUnh9ojaBBW9uAjgq1E249v7Z+duv5DVkFj6Pr9DYOC/ojrRwLrz1SYb8ro8hgyR6tVjlRUFBA8+bNefbZZ3nkEdt2rrx5Nm/enKysLMaNG0f//v1t3Mcl4Mq/i1+9ELyPRJN9KZum/l4knHkZRycHLkz/lJyMpOuy90pMTCJh5EgkjZam3y/G3av6Hkh/nksDYFDTwCrLGov1bPlpAT6uwbR8euA1y56I3IRaoSW8d1ea7b/AZqHHoDfioFKiUChoLBnZo9KRl5zOsrdeZ2DASGvdV/jIpq2qYkAFBwezZs0a1Go1H/abSEBpXrW5c+fSrFkzzp49S7169ez5Ov7TyBqW25Sk/CSi0qIY12oc4Z6VJwW8GkmS6N1mHiWo2Ht0HCaTgRPpYzFp8slzOcSunT0ocDpCuMfHuIc0q7rBq/Bpa3FfTttzqtp1dWlacr1ycQ64MQ8XAN+enVCYtKRu3VB14eugvbsbicKXxPzKn6yvhcls5rsjp7gnchcvp+RTKGCqq4LDvdryRtuW1yWsWNtu/DD++lhy4sunqL+a9MwYkhUClRD8NHQH7l72XfRa1rfYgzhYHl4xm81s2gF/bzKy5Lk/2PPxcorSs+3u84WtR1n89j627VWiK7HcWB0rsHd49dVX2bNnDx9++CFnz57lp59+Yv78+YwZY9EYurq60qVLF15//XW2bt1KbGwsixcvZsmSJTz88MPl2jNkFaLydi+3Pz8/nyeffJIFCxbYuEzn5OSwcOFCZs+eTffu3WndujWLFi1i165d7Nmzp1w754//Td28s8T0+w5Xp/JP614nfuOw/334eFzboFmp88JjyAYcgrqQ1fohnPIKyPmpO8bClGvWu5LCkmwAtCpXevfuzfvvv1/hd1J28xw8eDDh4eG0a9eOr7/+moMHD1o1WWVcLd4rVUq8/C3/39r1g/EK9IGMSxS5VH/JLT0ljVNPj0Bt0BO26Dt8A68vCvAPORZNqM4OIXr3nKXkFl+i5/NjqhS6405FE+jbAIWjlkXGQh7Vq3F1vLxU5aXTUaRSMX/8M+QWX8JktngWmoTRrn5fHQOqpKQEjUaDOfuyh6JDaTbznTt32tXmfx1ZYLlNMZb+6Gu52GdEdiVOWk+8ar9MkCKTrTtGAVBHORH3ok6YNDloigIIbF69p7cy3EMCyTNlUXQ2s1r1LOvrOjQ+NePB4OgbhLFOCqZDGkzGkhpp80q6+lsikm5JPlmtemtjztNn3TZa/L2HtzKKUZlNfOqp5sAD7XmxdTNU16GZuBq/zs9iQEXm9m+rLlx6EZ1V/0nUGvu/e4VCQf/cekhAUuJp8i9YBLf6npdwc9Bz6Lwr37+1i3UTfiTpn+PXbGv/7D9ZvSwdtamIMOU5IhpYNCEu9crbsNxzzz2sWLGCn3/+mYiICGbMmMHnn39uE0tn2bJl3HPPPTz55JM0btyYmTNn8sEHH/DCCy+Ua8+YZ0TtVz4L9pgxY+jTp085m5eDBw9iMBhs9jds2JDg4GB2795drh3/Ovegl1ToD/+KuErDEx8XRf2ck5ibV+4yWxHufZYA4BZzEGlWOLn77UsBUKZh0airrxm8+uYJIEm2GpbKUGdnonevnrY1OyOTw8OG45ifi9/ChdSue/1u53mY0ZgEzo7X1tpmnU/k0N41NGrYmcA2145XlZ+SQUbuReo0b010bCbZaonHgm3HGKrxoNDBGaHQEOhVH5WzA5KjCq8JVT8IVhQDqnv37qRmpTNn21KKcwrJyspi0qRJACQnJ1fZ5t2ALLDcphzPsNwE/BzLX2zt4b7wsaQQCOadKIyOhHYaTauHFlPf8X1atf3JrjgtlaF3MaDMqp76V5IkikUBxuyaEy48ujVFXehF6u6a17LUcauFP+nszrJfMNt4YS8jE3M56OCGp8nAHD8Hdve+j6ebN0F5laByLRsDsHxfFW2ffvopWlcvUtxa4hK//pr92Re9iJf+Ho27yUS7xk/YPY4yxj86C6UJ/vfn62ScsNhnRDzUmIe/eZKhrzWigV8eiTlOrFiayk/PLSPq240YCi3zK4RAmExkHItjX4wrTopCnvy4G72/eQ61qRCBhGMlHlF9+/bl6NGjFBcXc/LkyXIRQ/39/Vm0aBGJiYkUFRVx6tQpJkyYUG5Jwpx9qcKgccuWLePQoUN89JGt2h4gJSUFjUZjc+MG8PPzsxpo2/alHgcCu9MudgXFxbY2T0n7lpCldqNZq4EVjrMyJIUa89up5A9fitIMrms/pGCWP1l/PUPWrncwlVjOI8xmzFcI60UGi2uvVl292C4V3TwtCLsEFofcTMxe9gss2VnZ7H16OM6ZGbjMX0C9xjeWriBVq6Cevurr0aYvv0Gl1NJ1/Ogqy2actQQ2DGzehLQiy3e8udRepQw3R4vNzouLfmHI15+h8tQhiow4+11bg1xZDKgmTZqwcPZc5u//BWcvV/z9/QkNDcXPz++Grtf/JeRv4TZl7fm1NPNpRqjb9T95dGs1DwBliQcKpRJJkghuNxQn7+p5l1yNNtgVR+FKSW6+3XVMeiNqNGjSlOTl5TF+/HhCQkJwcHCgQ4cO7N9/OXmiEIJ3332XgIAAHBwc6NmzJ2fOnCnXpnuDJhh8Uinak3PdyRuvRXNdLtFF9hklx2RdYOy5YtxFJp+bfmdbny483Di80nX9MhuDb76pOJVCcnKyzfbdd98hSRKDBlmCvEnNhuBtTOHSiYoTNZ6OWc3Iw7OJUymYULs3Th4hFZa7Fj4BdemuasN651h2/L0ZAK/Glt+OR4NadH9/CM98/SCdW5egNOvZdUDBd+M2EjllOd+PXsH/jdnGsq/PozAbeHxGZxy8LRd4Q3IKRge3ckHjahrDOUugQ1Xty8a9CQkJjBs3jh9//BGd7sZTEhj0xTRL2cGROn1wcHS37jeZDNQ7u5ITdfqg01T/PAqVDufQ/uQ+9hkGtRIUCjz2/oHH31+i/7IBOQc+JfvbJkgf+FJ4YSMAxfpsoHoCS2U3T7BPwyKEwLUgB5VveQeAisjOyWXn08P55dABBiUnck/7e6lbty4zZsyw+Q9PmzaNhg0b4uTkhIeHBz179mTv3r0VtulkEJjKLV7ZcnrtNuKTj9DxoSdw8KjaOLg4xxLm38HTlY51LWObKxVjNpspKjHw+5azTM+xaLRUKgUKhQJ1gBMIMOZU/lB2ZQyoDRs2lIsB9eQzT3No7J+c3XiEjIwMpk2bRnp6OmFhNx7j5r+ALLDchuxK2sXOxJ0MrDfwhtpJP5VL7X2T0ekfw2Qy8c477xAaGoqDg0OFFwl7BQWvFqEoJAUp++yzY8k8fYEz09ajUmjI98pn1KhRbNiwgaVLl3L06FF69epFz549SSzN2fHJJ5/w5ZdfMnfuXPbu3YuTkxMPPPAAxcXl4xM4dfBFmxFMdkzV9hzVpamrMxdM3hQbri2YHcmIpVd0EhJm3jV+jathXYUGoFdyLRsDsGgRrtxWrlxJt27drBcu/05PUoSOvF3fVVj/zyhLbp2tD6/j4fs/q2qo5UjLyKD7/N6s1FiMMOMly9Kk1tP2Aqty0NH0ud4MWTiMR5/2ItQpjbhULQVKd2sZdykLndfleqb0NEw3GKnXHoylQePUVwSNO3jwIGlpabRq1QqVSoVKpWLbtm18+eWXqFQq/Pz80Ov1ZGdn27SVmppaYRCw3Px0nE1FFDe0DR9//PA6fPQZeLWpODOvvbg2GYV6SiZOE5Iwv3mOvKcXYtJocVvzPh5JSUgCtIsfpSDmN4x5Fq2Ao8Y+e5Kqbp4S5W1YrqYoKwedSY/OjgBp2bl57Bz+LH8d2s+K4iLmz59fYVZ1gAYNGvD1119z9OhRdu7cSZ06dejVqxfp6em259cbMSggXFG5TZihsIRtv3yHn0cozYba5/VWnFsqsHi44uao4Rc/y/j6RR6l0fZjjCWfgGLBDJULWpVFe6oNtQhCxTFZFffjihhQGzdurDAGlMJJjaRW4KVwxdnZmV9++QWdTsf9999vV7//68gCyy1i2rRp5dT9DRtaVKMTt00kb3seXz33Fa6urkiSVO4CWhUFRfl4/WmgqMifNg+P4eOPP2bOnDl8/fXXlV4k7BUUvCLCMAoDOSeTrj6tbR/Sszg+azW5C8/gaHJGf6+SRmP7sXz5cj755BM6d+5MvXr1mDZtGvXq1WPOnDkIIfj88895++23GTBgAM2aNWPJkiUkJSWVWzYB8GxzDwZdJvkH46v1/dhDc3d/DJKG45nnr1nux/ijFKNjWYQPLWsPR6vNISZmbY31IzU1lbVr1zJy5GUvBJXWkTTv9ngmbS5nOwHgqNKhFAIP56o9Jyrixe9eJ12TSF19BI8ceQ3Poqqj4Pp1bE6vz59hxEftGfyML0PH1yNIm8ZDk7ralJOy0sHTvifyG8FwwTJvqrqXg3n16NGDo0ePEh0dbd3atGnDk08+aX2vVqvZtGmTtc7p06e5cOEC7du3L3cOT/dA8lTO5CTZCsz6qJ+IdQ4lvH67cnWuF4WDNy51H8Xp5VgyujxFnqcHmT1foMDNBaefRnHP8o/wTy3GUe1eZVv23DztcfpJj7UsFToHXVtgyckvYNszowiMPcvROqE8MmgQffr0oU6dOjz66KP06tXLmlUd4IknnqBnz56EhYXRpEkTZs+eTW5uLkeO2OYy+3RLDHqlRK3zJypdYt3+5UKW7fuHDzZF4uLiUqkbd0xMDAMGDMDb25sOzw7m6827+OeApU/3NfTlvnyQDGZeKlKzzsmbLf1a8tx9da31jYFqjqee4WBp4tKyiLkXLlywxoA6cOAAP/74ozUGVEpKCnq93trGN998w/HCOE4dO8k333zD2LFj+eijj8otUd6tyALLLaRJkyY2av8yS3BXjStB2iAe6v0Qb7311nW1vW3pnwBk17G4gO7atYsBAwZUepGojqCgUCkoUhVAeuX5dhL+PkTKp/txTHMk1ycXn0mtCHukA0ajEZPJVE4d7+DgwM6dO4mNjSUlJcXG6NHNzY22bdtWaPSoUjtg9E/FdPHaGo3roaWnZRnlSLatp1CJ0cDSMxuJzznP9pQTxBfm4UouzX0iaNCgD/oSV2Ljfqqxfnz//fe4uLiUc0/Vtn4SN3M2aYfKC0exxRmEmEFxneHeE91iaJ3TnT+f+5nxI7tQ3y2VAYPte3LX+njh0zYCz4bBDPzicdxCbW9myrwMFD41mz25IgzJSSh1AoXTZc2Bi4sLERERNpuTkxNeXl5ERETg5ubGyJEjmTBhAlu2bOHgwYM888wztG/fnnbtygsfkkJJnH9b/OO3WLWVefmZNE3cTGLDR5Fugu2BpFDg1e0bXF6Jw7PTx2iG/02hg0XD0OR0Pg5qN/Lz860CGdh381yxYgV9+vSx3vSzjx+yWRKqSAMbvceylOsRbBGM+/fvT3BwMDqdjoCAAJ5++mlOnT3HlmdGEXzmNMovvuLBvn2qlVVdr9czf/583NzcaN68+RX7TfyfRk+nEgX3hLpWuMSaGRPPvn1ryTYomf7B+5XGQAGL7ZTRaGTz5s0sGD+FWh6e9B/Qn5SUFBQKBb/1a8Ga/i15o38Ere6tVW65N+rUER5cPJKub1i0phMmTKBly5a8++67dseA2rdvH4/PG0OncX2YP38+8+bN45VXXrHrd3FXIP4D5OTkCEDk5OTc6q7YzdSpU0Xz5s0rPBaxOEJM/WeqEEKILVu2CEBkZWXZ3XZ2bqY4PflvsW3hH0Jv0AshhPjggw9ESEiIOH36tBBCiOjoaOHr6yt++OEHIYQQ586dE4CIioqyaatz587ilVdeKXeOox//KU6/vqbcfrPZLI5/uU5ceGObOD75T5F1JrFcmfbt24suXbqIxMREYTQaxdKlS4VCoRANGjQQ//zzjwBEUlKSTZ3HHntMDB48uMLxnl+7RFx4c6swFpZU/eVUg5ycw6L+pq3Cb3OUCNm8W7y452fRc/tq4bc5qtw2ZMcP1nqbNo8XkX83EAUFmXadBxArVqyo9Hh4eLgYO3Zsuf0mg17kTgsSsd88Wu7Yk981FyO+a2nX+Sui+/wHxejvx1V6/KOPPhKAGDfucpnRo0eLsLAwodPphLe3t+jfv784efKkTT2D3iiONG4hTrw9+7r7Zi9JT/cQ5++LqLJcly5dbMZRVFQkXnrpJeHh4SEcHR3Fww8/LJKTkyutvyfyMyGmuoqkDMtvfc/Gr4RxqrtITou/4THYi1GfI46vGi0Kp7mJQkOh9bpx9TZ8+HARGxtb4TFAPPXUU+KPP/4QgAgbNlZ0mL3Qeo6ZM2cKNzc38eeff4rDhw+L/v37iwAvHxFVv4G4dMly7Z09e7bYvXu3iIuLE//884+4t21bEe7lLaKaNhPRm7YKIYQwmUzizTffFJIkCZVKJSRJEs8995zo27evCAgIsP4fVq9eLZycnIQkSSIgIECMHDlS+Pv7C51OJ3r06CHm/bld+G2OEoPXHbb2cc2aNQIQarVauLu7izah9cQ3Tz4uirJzbb6vffv2CUDEx1vmKD09XQBi+/btQggh/p7xP/H5448LQGzYsMHueUj5OkokvLldJM7YLbLXnRemQn215zJr5VmR/NmBate7U6nO/VvWsNxCzpw5Q2BgIGFhYTz55JPWGAhBzkEk5V97ueVaHN26B61ZQ3jve1GrLIaNZUkBGzZsiFqtpmXLlowfP97qLlrmAeF3lQtoZd4Raj8ndJKz1SsEwGQycuyDlbgmOpPrk0P4e31wr1d+SWLp0qUIIQgKCkKr1fLll18ydOjQ67aEd6kfioSC3Jjqx4a5GrPZTGLiL+za3Z39Bx7mCb4nkFSK0fFHYUOOGi22HH0dz9HP4QyfBKawtbkr37W9bMPQuNEolEojR49+f8P92bFjB6dPn2bUqFHljilUajICuuKTthOTwdbQLy6jgGPfZ+Pl5YWDgwNNmza1DQp2DS8kAE/hy4mTRypUs5cFXAsJCWHFihV4eXkhSRK+vr4sWrSIkydPEhkZiRCCXr16sXPnTrp3724xoPR055nY0wj/f2FJ6FI2Ko+qw8Vv3brVJtigTqfjm2++ITMzk4KCAv74449Kk9iZTUZqRS0gS+2Gm6NFk+N67BeO+rbF/6rUCddaBo6Li6t0Tn777bcqx6BUu2IyGiiWJHRKHV27drV4al21LV682BpAsaJt6dKl1v977E/z2Dt5DO3bt2fdunVWDWxERARTp05l586dJGek89TFixgMhYAljk67du0ICQmhWcuWdFfriMm4hPGTz2jevQtgm1X90KFDfP/99/z8889IkmSjIenWrRvR0dHs2rWLoKAgvvvuO2bOnGldrh77wlCEvoRBpRF2ly9fztNPW2yGPv/8c5ZM/4yG/i7c1+9pdG62rt5Xu3F7eXkRHh7OkiVLKCgooLAgl11nY/H19aVBgwbXdBJITU1lxIgRBAYGEvp6B4b/PYVzSbHkbbtI0gf7MOurp/1VeugwZRXfFEeCOx1ZYLlFtG3blsWLF7N+/XrmzJnD+djzdLqvEz9H/0xifiImcf35epTHi4hxv4BfwOXAXBVdJGbNmsX331/fTdWpjjcKSUFWjEXIMpUYOPn+WjzyvcgNyqfJxH4oVRUbwtWtW5dt27aRn59PQkIC+/btw2AwEBYWZr0xXB0KvTKjRwD30FYYNbnkn4m7rrEAZGRs48DBIWzd1ohTp9+iqCgeR8cw3mj3Loe6PUBKtxZc7BLB3809OdepAd+2HcTTej9+m/gN3SM64aRxsd7Q/f2bUFxch/RLq6o0Yi5Tiw8bNgxXV1c6derEli1brMcXLlxI69atbVThV+LUbgROFJK6+xd+3jCeHosimLCgM/tmxmPGwF9//cWJEyf47LPPbAKkVeWFlE8OqmJ1OTX7lQHXHBwcCAwM5OOPLXFCBg0aROfOnalTpw6tWrXi/fffJyEhgd69e1uXH1d98T1PuHvgcgNJ8uzFmF2E+hqh12uCE2f2EFSUxMW+c3HUOXMx8SSNso5Q0vTxCstXtgxcu3btcnMyffp0nJ2dK10quRphKESvUNxwhvFatSxCea2+Q4h49R26d+/OgAEDSElJoWPHjvTq1QtJkti6dSv1vP3INJvp37+/bZLREj0rn36GQ0eiad4kgjYPXl7ivTKretOmTXn66ad58803iYmJsTFCd3Jyol69erRt25aLFy/i6elJUlKSdbnamJGOafsWBrcNwWg0Mm7cOKvA7ePhReL+zfRu0YUmjz1oM76K3LglSWLjxo1ERUVZll8/nsbfJ46xfv16Xn/99UqdBIQQDBw4kPPnz7Ny5UqioqKod08jnlo7CVUPPzCayV5lmwuuKlSeWoTBjDm/8iX3uxU5NP8touwiVGgoZId5ByUjSkgcn8jELyfi2cWTZyKeue62CxxLcMqxtRG58iIB0LRpU+Lj4/noo48YPny4jaAQEHDZwDI1NZUWLVqUO4d7eG2y/zpB3vlUPOrV5tzHm3AucaGgSQmNh9t3gXVycsLJyYmsrCwiIyP55JNPCA0Nxd/fn02bNlnPm5uby969e3nxxRcrbEelcsTok45IqH6CMLPZzJGjo8jI2AaAg0MoQYFDqF17OAqFxvY8ChXNPC8/NV8r/Lm3d3++XfAev/56gCVLlhIaGso777zDAw88wIkTJzAajZw9e5YBAyyameeff55OnTqxfPly+vbty7lz53B0dOS3337js88q9/LxjuhO1kpvMg8t5kOPdFBI/PDnSdReaj756BXuvdeSryk01NY9/mrh72ovJEeTK3mNc3j/ufdtyl0ZcM3Pz48WLVqUC75W9t0sWrQIrVbLyy+/bA2Apdx9Dn9XV7wa1y1Xp6Yx5JlQ+19fHCN7ST9r+d00btIDgAt7v8dN6UTTex6rsLxKpapQ8FYqleX2r1ixgsGDB9uf+M5QhF668WfQfv36AaBxdUfn488HE57lq6++Ii8vj7i4OOLi4oiKisLV1RV/rQ6DpGTfgQNs3ryZnj178sYbb/Dl//5HidFIk4aN2LZtq0379mRVv5Iyu7agoCBKSiyaxOgLhagaRaA+ZjHCPXToEImJidZ2n332GWq5uzBv7mKbc1Xmxi2EYMyYMfj6+rJjxw62fvF/bD91kr59+5KSksKqVaus2cCnTZvG6tWrmTNnDsOGDWPPnj0cO3aMJk0swejmzJmDv78/a+K385BrUwoPpeLeNwyFzr7brdLDcu02ZhWjdNFUUfruQtaw3CLMwsyKMyvou6IvC48uZEiLIdQOq013x+4cHnaYTkGdrqvdkqJiPC45UqTR2+yv6iJxpaBQRpmgUJF3hLO/FyXmIgrjMjk7cyOaEg3G7lrCh5e/eV1NZGQk69evJzY2lg0bNtCtWzcaNmzIM888Y01E9/7777Nq1SqOHj3KsGHDCAwMZODAgZW2qaqtQpnuidlgv2bKbDaz/8AAMjK24erakhMnxvDC82k0bfoa7u7etG/fnr/++guoWGX/0EMP8cEHH2A0lg/F3TRiGH/8kcPQoS0qNGI+cOAALVu2tC4Dzpo1i4EDB2IymSgsLOTYsWMsW7YMIQRDh1YeKVVSKMipfT+1c6MAGOvZGu9YH57r/RxzZ+/D19eXli1bsmBB5ckSK/JCclG54qCwjYy7Y8eOSgOulfF///d/ODs74+zszOrVqykpKSEgIIAOHTrg5+fHkzMmcqCwCIcqvEpuFFNGMmaDhCqwfDTdmsSnTlsAovf+itlsIjTmD46HPIijruKlqMqWga/m4MGDREdH28xJVQhDEXplzT2DShKYTWaWLVtGUVERYDGAlSQJrdYSol6h1yNpNCgUCqu2qLlKx4rawcx4YzLuXp4MGzbMZnmjLKv62rVriYuLY8WKFcyePdtGu/LDDz+wZ88e4uPj2bp1KwDp6ek89phFEFx8KQuFhxf3YBFgzp+3eIRNmzYNgG4N6hDoV5tHRj5NZqYl+OO13Lg3b97MmjVrWLZsGR07diTI1ZmxvR9Bp9NhNpsrdRIoE6CuPK5QKNBqtezcuROPAXXBDFkryoeHqAyVlyUcvzG9yO46dw01bUBzK7jTjG6jUqPEE2ufEBGLI8TrW18XCbkJIi8vT3h4eIgvvvjCpmx1jG5zcrLEps9+FjGTNoh/jm6zOTZ8+HARFBQk1qxZI2JjY8Uff/whvL29xRtvvGEtM3PmTOHu7i5Wrlwpjhw5IgYMGCBCQ0NFUVFRhec7NmmFODlhpTj/+gYRu3Gv3eP/5ZdfRFhYmNBoNMLf31+MGTNGZGdnW4+bzWbxzjvvCD8/P6HVakWPHj2sxsKVkXZsu0h4c7vIOnmsyvNnZR0Qu3bfL7Ztv1ds3BQmjhwZI4QQYtWqVWLt2rUiJiZGnD59Wrz11ltCrVaLY8eOCaPRKJKTk2226dOnC2dnZ5GXl1fOcLbMiPmrrxoIo9Fg3X+lEbPZbBbh4eFi1KhRIj8/XxgMBvHpp58KX19fkZlpn8GuEEJkntknIj/2ExGLI8Se6EVCq9UKrVYrJk+eLA4dOiTmzZsndDqdWLx4cYX1P/74Y+Hh4WEzzz2/fUg8+93L1s+AcHNzE4cPXzZwLDNWPX/+vADEoUOHRHZ2toiJiRHbtm0TnTp1EoDw9PQU3333nTh06JB4PKKdUEuSiImJsXt810Px3khxIryhKFhd8ZhrksNfdRfHvuoujh7+S4ipruLYsU0Vllu3bp349ddfxeHDh8X69etF+/btRXBwsMjNzS1X9sUXXxSNGjWqXj8W3CdOfRx0XWO4GkBIKpVAoRBubm7i22+/FYDYtGmTcHV1FUNGPC8e/2araOjsLhpoNAIQo0ePFhsXLRUnwhuK5R9+KoQQIiEhQQBi165d1rZzc3PFuHHjRHBwsNDpdCIsLExMmTJFlJSUWM/dtm1bERgYKDQajfDy8hKAWLdunbUNv81RQtvlfvHYY48JIYT48ccfBSD+76uvBSDGdOsh8rJyhLe3t5g7d67Q6/Vi4MCBokmTJiItLa3ceFetWiUUCoXIy8sTQggxb9gwETn1M9GgQQNRu3btSp0E9Hq9CA4OFo899pjIzMwUJSUlYubMmQIQvXr1EkIIkTRzr0iYtF0Ysovt/v6TP9knsladreas3ZlU5/4tCyz/IodSD4nBqweLiMURot6AemLu8rkiNjZW/PPPP6Jnz57C29vb+mdKTk4WUVFRYsGCBVbr9aioKJGRkVFh20cP7BOH314jzkzaKPZu2VLueFUXCSGqLyiceTNSJLy5XZxeuvnGvpgaQF+cJ+LeihQJf66q8HhGxj8iKupZsXlLY7FxU5h1O3Z84jXb9fDwEN9++22Fx1q0aCGeffZZIUR5T58yb6dffg0Wx4//Yd1/tbdTQkKCaN26tZAkSSiVShEQECAOHTpk77CtLJhdSzRf1ESYTCahVqtF+/btbY6//PLLol27dhXWrcgL6dGFT4mBCx63fqbUi0SpVFo3QEiSJBSSJADx1+DBQp+SYq2zdetWAYj+/ftb9+15+CVRz9FFTJo0qdpjrA55y74UJ8IbipLj9gvS18vWdZ8I01Q3see7J8SFmY2E2WSyq15WVpZwdXUt9/sqLCwUbm5uYtasWdXqx5E594pjs+pUq05lAKLWwKdEk/HviEmTJgkvLy/h7e0tOjwxXvgOfk+o3P2tv4lmTs6isVYrhri5ixPhDcVvY18VptLvID4+XgBiSwXXpGuduyLhPyoqSsRfuCh29R8olj/QR+giWliF/7Vr1wpAvPawxbNn6vjXRVRUlGjevLl48803Rf/+/UWtWrVEdHS0zUNH2fUvPT1deHl5iUceeURER0eLd/o+KIZ0vl+o1WqxevVq0blzZ+vv/5577hFPPvmkaNiwoRBCiAMHDojmzZtbjz/wwAOid+/e4sEHHxRCCFEUkykS3twuEibvEMZ8+zwZL/14QqTOibb7O7uTkb2EbjMKDAVM3jGZYX8NQ4GCr7t/TSttK6aPnU54eDiDBw/Gy8uLPXv24ONTGgZ67lxatmxpzaPSuXNnWrZsyapVq8q1f2rPIZx+zyfLMR/dmDDu7dq1XBkXFxc+//xz4uPjKSoq4ty5c7z//vtoNJfXSCVJ4r333iMlJYXi4mI2btxIgwYNKh2XVmNRXYb2rbngWNeLWuuMwTsVQ3x5NWrMmfeJin6ajMytgCDA/1E6tN9G925nadL40wrbM5lMLFu2jIKCggqXxOxV2ev1rsRf+Nn6WVwVWfjKdfN9+/YxcOBA+vXrV+1kZ9qA+zFJEr/u/5WAgAAaN25sc7xRo0YVLj9U5oXU3L0lcYrT5BVejvL7+eeflwu49sSQIcwNtBjQlsTEEPvIIMylavIyjzMbz7OsdELdvSpdCqkpjBdjAYE6LKLKsjdKYKOeKBC0jV9DQoOH7Y694u7uToMGDTh71tYo8/fff6ewsJBhw4ZVqx8KUwlGxfWnO7g6dktBrpowPwdefPFFWrRoQVhYGHuWL0AYDYQ+PhVdaGu8/IPYkpjMRbUGpQSzNDqChw0lISGBzZs3M3ToUOrWrVvhf8heyparV69cScH9PXE/fYra52IwHz9ibbfsf/XZimUATP/8U1q2bMnp06dxdXWtMgaKt7c369evJz8/n+7du/PJ+o0cvxDLypUr6du3b6VOAgCtW7cmOjqa7OxskpOTWb9+PRkZGdbjuvoeuHSvDWZB4eH0q4dXIZpgV/QX8xCGmo8vdUdzs6Wnf4PbWcOyO2m3iFgcIVovbS1+Pf2rMJqMNdr++ZMnRczkDWL9J9+LguL8Gm27KnK2JoiEN7eLwpjMchqc9u3bi3379tmUP3HihOjXr59wdXUVjo6Ook2bNtY4CDXB+d9+EPFTIoXJaPuEu2NnB7FxU5hITPxNmEyGSmpbOHLkiHBychJKpVK4ubmJtWvXVljuapU9lTwVzl8wTET+3UBsXf2rmDW4jwjz8RQdGjUQZrNZbNy4USgUinK/23r16omPPvqoWmPfFbNLRCyOEMv2LhNDhw4VnTp1sjk+fvz4cloXISxLha1bty63f/exQyJicYRYf3BzheMTwrIk9OIjj4gNYWGWJYE+fcRvIXVE7KlT4p9//hF9+/YVkiSJV1991Vpnf+vuItzLV0yePLla46suaRMGi5iW4Tf1HFYyYkXuJw2EmOoqir590O5qlS0Dd+nSRQwaNKja3TjxeSNx8MvG1a5XxrVit3Tr1k0MGzZMhPceIdTOHkKj1QpdSHPx4terxTe/rRRIkvB99zPRsXMX4enpKbRarahTp4544YUXxMWLF6s8d15enoiKihJRUVECELNnz7ZoVEqvDzNnzhQuzs7i66Ag8c2774nuzs6illot8tMtGmej3iB6No4QHo6OYt3qteLUqVNi5MiR1V5eFUKIkoJCMWtwHxG1eEWFxzMzM4Wbm5uYN29ehcdjYmKEQqEQkZGR1n0mg0kkTNoukj/bb18fEvNEwpvbRfG57KoL3+FU5/4tewndRNaeX8ukHRbviLk959LGv02Ntp8UF0/x0nguOebQ9vm+OGqrjjlRk2iCLOczJuUz6u2JHDt2jKVLlxIYGMgPP/xAz549OXHiBEFBQZw7d45OnToxcuRIpk+fjqurK8ePH6+RBHRlONWvhf6AgrzYGNzqXc4AGxY6npOnJlFSkoriGjlHAMLDw4mOjiYnJ4fff/+d4cOHs23bNhuNRVFRET/99BPvvPNOpe2UPRUmJfpTp46Rg78sodhg4EJGNu3rhSJJEoWFltgVVxtDKxSKKnMRXc3hpMMAdAvvRtirYXTo0IEPP/yQwYMHs2/fPubPn8/8+fNt6uTm5lbqhdS8biNMO01s3bUdP4XFNbgsWqqnpyfBwcEYDAaSjx0j3scXzp9n19Gj/JKYSEFEBP7+/nTu3JlJkybxzTff0KFDB5o0bsr8+OPE5WRWy5j0ejCkpqNy/Rc8LM5vg6UDcRGW+dIl7LJkDKzAtXjixIn069ePkJAQkpKSmDp1Kkql0sao+uzZs2zfvp1169ZVuytKkx6z2qXqgpVQFrtl8uTJbNQLLhkD+PPZrixbtowlS5YQGRlJcEEAf7r58cKAzny4JYmYE9HMfWsWzg8/weZXRtNk+oTrOveBAwfo1q2b9fOECZZ2hg8fzuLFi3njjTeIP3eeqd8tJO+jGbRSq5lfqzZO3p4A7Fu4jPsb16ZORHNGjHyGoqIi2rZty+bNm23c+e2hKLs067WL5bssiykUHh7O2bNnef31161OAgC//fYbPj4+BAcHc/ToUcaNG8fAgQPp1auXtU2FypIc0ZBcYFcf1P5OSDolJbE5aMOqTtZ413DTxad/gVutYTGbzaLEaLs2uT95v4hYHCGGrB4i9KbqRzusiiJ9kTgw9U+xZ9rvIuVSUtUVbgLGQr1IeHO7uPhDtFAqlWLNGtvIt61atRJTpkwReoNeuN3rJgLa+t3U/ugLc0T85E0iYY2tHUv6pW1i46YwERc3v9pt9ujRQ4wePdpm35IlS4RarRbnz5+v8qnQ3d1djH6wmXit132iSaCf8HRyEPPftWgXrl43P336tJg4caJQq9UiOrp669evLX9NtFnYxvp59erVIiIiQmi1WtGwYUMxf375sc+bN084ODjYGDxfScRrzSt94hZCiEWLFlV4fOrUqTbtfPTRR6JWrVrC0cFBtNA5iF9fn1atsV0P8Q+2EgkDK7bZqTGK84WY6mbZ4nYKMdXVsh3/s8LiQ4YMEQEBAUKj0YigoCAxZMgQcfasrWHl5MmTRe3ata02INXh3CfBYu+8ttcxEFtGPPOMULl5C4VKJXx8fESPHj3E33//LYQQ4suNMcK17aNC4eQuUKiEMqC2cH5xgvjxXEoVrd4458/HiRPhDW02IYTIik8Unz/+sFgz6YMaOU/ysdNi1uA+InaDxf6pKieBL774QtSqVUuo1WoRHBws3n77bRvbQFOJUaR8dchix/Lmdrv7kb7omEhbeLRGxnQ7I2tY/kVmH5zNyrMrySrO4sHQB6nlXIuz2WfZkmAJ/vVOu3dQ38C6cmWcjDmMX7EnuYMc8fOqOjHdzUDpoAYJStILrpkf6Ns1X5N3JA9tby2d7utIzOkzhIaGMnny5Gu6KlcXtYMrBs9UpKvyIF5K3wCAl1fnardpNputrotlLFy4kP79+xMfH1/lU2FebjZfzv4fRXoDob7ejOp8L50GWoKzla2bT5kyhe7du2MwGGjSpAkrV66sNFDc8YvHCfIIwt3J3bpvVfQqIvMiCdeEW/f17duXvn2vnZl29OjRjB49utLjD7YcCItN7BmyFyedY7njI0aM4LGGDbkw4hm0jRqh9vMjf+tWGrz2mk25SZMmMWnSJOL/PkThK0/i1atq1/cbxZBdhFPTm+s6bZXR/JpASEfoNAF2zoZfh8GrJ8DNNjjesmXLqmzxww8/5MMPP7yu3qhNRoRKe111r6Tfqy+xxXcQ0wa5M+KejjbHuob74tF1BB5dRxBQx43YcEuMmLae1Y+BVF1CQ0PY5eqGR24OUuseiIObMKRdYsPsL1ErNHR7teI4TdWlONuSqVlbGh138ODBDB48uNLyr7zySqX5fkou5nFp3hGEwYykUeLSM7jCchWhDnSiYH/5KON3M7LR7Q2w6cImFh1bRJGxiCHhQ4jLiWP5meWkFKTwcsuXiRwUSRPvJjfl3GlnEjBjpn5E05vSvr1IagUOejXt27dnxowZJCUlYTKZ+OGHH9i9ezfJycl0aNAVc7GZ9LXp1G0Uwt9//83DDz/MI488wrZt22q0P4paAmWKu3VJ5fCRF0hM+gmlwhFn5/Br1p08eTLbt28nLi6Oo0ePMnnyZLZu3WpNXwCXVfajRo26ZvhzsBgxj3yiG1P79+TTJ/rwYt9eBIXVo1HL1tb22rRpQ2RkJBkZGeTm5rJ79+5KI5v+vPdnHt/0OPf9fh9bTloE4uMXjzPl8BQAZvaced3fW0X0bWLpx+oDf1daxqldO2rNnYMxKYn80ngZWT9WnPixMD4RANe6ltgo27dvrzTDLlScbO/KSMFxcXGMHDmS0NBQHBwcqFu3LlOnTqWkuBhjnhl1JZGRawx9qUGyb+lyYbe3oSxw2+dNwVhScb2bhMpsRKhufIn1l0MnkZRFPN7innLHmtZy48R7D3Dmg94sfbyVdX/3PacZuzOG7pGHKTHdPEPRtK6WAH3i4CZAImbnQS4kH6PTQ0/h6FszUY2Ls3MBcPC88aWY/B2JCIMZlx7BBL3XAdfOteyuq/JywJxnwJghx2MpQxZYrgMhBLMPzGb8lvF0CurEnif2MKXdFH7t9yvbhmzj136/MrrZaAKdy+fRqSlMCYWkOWWjdri1kRAVDmrMhYZr5gfycbd4iTykdeFQx6O0aNGCSZMm0bdvX+bOnVuj/XGsG4hS70zBxXOcjpnOpUsbAInAoIpDpV9JWloaw4YNIzw8nB49erB//34iIyO5//77rWW+++47atWqZbM+fS2Upbmcgu8NwJybRdPu169d+Oz4ZVuTV/a9wvS103l8k2Vc3mZv6vnXu+62K6JFqEXYLtBfe93dpWtXPEddtklJ//LLCssVJ1jyY2lLg8aVRQq+OsNuGZ988glffvklc+fOZe/evTg6OvLAAw9QXFwMwKlTpzCbzcybN4/jx4/zv//9j7lz5zJ5wiuYjRLqWvY/zV4XkRZBkYZ9LK9KJYyzRF5FmGBOR2zSHd9kNGYTksrhhts5Ei8I8c9Dp6742uKoUaFWKqjn7khil2YAlGgV/G4o5IRGELL9CGez7bPVqC79Z87g0rvTADAqYMvv3xHkHU7E0Idq7BzFuRYNi4OHaxUl7aD0wcnt/pBqV1U4Wa4d+Xur5zH4X0YWWKqBEIJN8ZtotqQZi44v4pWWr/B1969R1EA47OrikeFIgV/5CKv/NkpXNUJvumZ+IJ2DFhVQV2t7AazM1fZG8GjcAoGZi7+vJjF+GWq1J926nqJB/SlV1l24cCFxcXGUlJSQlpbGxo0bbYQVsKjsL1y4YHeiRv+QNmjdzMTutGgXXGrlVn9QpZQoS6gj6jC16VQAfr/0OwDtHNoxpW3V46s2ytKbrbnq3DQuVyyNeT4zosIyhpQUDDo3pFJX+t69e/P+++/bRDgtQwhhTbY3YMAAvDy92PPc68ReTGTZr78C8OCDD7Jo0SJ69epFWFgY/fv3Z+LEiaxYaXH9VwXXrABXjoS9ltcmV/TfvTYMKw09kHEGZtz8JI9lqM1mJPWNCSz7E85TVOhFr8b2LTMrFQq2tKiPqtg2wnSnqDM3JXmfQqHgvieGYPrwY44F16LEVECvca9cd+LUiijOz0chKdG43LjwdyNfga6BRWMkqZU33I//CrLAUg3Wxa5j/NbxALzV9i2ea/YcSsW//2NKzkwkqNgHxxDPf/3cV6P00IEZzEbLBcvJyYmAgABrfqDO3e6jz4qH0NR14Kcw22ReMTExhIRU/8njWmic3DHp8nBJuwevnIfo0H57lZ5BNxONzoUn3/8/6+fU9D+vq51TiZZM1A/WepBBLQcx3H84LdQtWNN3DQsGL6Bn45q3C9EpdSjMSjIKM6ssq61Xj/o7d1A3cj1+r79eYRnzpTTMrl52nbssf0xZnqL1UcdROLugbhTB67/+WWm9nJwcPLSWJ1N1WONKy9UIlWmewrpAWKkAZzbAmY03tx+laIQZSV3e1qg6LN53ECQjI++1P25KIw8nLvZuTUq3FqR0a2Hdv+D49Wecr4qIR/qT/+JYAFS+NetFU1KQj0ahA1UN3B5vYHVMUkjoGnqiv3D9Dzn/NWSBxQ6KjEV0/Lkjk3ZMol1AO44OP8rQhpXnd7nZnD95CgUKghve5CdIO1D5WC6Q65atLJcfyNPXnaUeP5CvLOSeB1qScTAXp81azp49y9dff83q1at56aWXarxPTn0sgpxvUC9UNaAiv1Eykk5a3igEWl0Mly5VL3srwIytMwAY3HYwkiQx8YGJLH1iKSFeNSvwXYnWQY2z0Z2UAvsM/1Te3miuIYBKWengWbXGQQhBXLzFcros6NzxnHzcCvJxdnSiIC+vwnpnz57lq6++YliL+iAJVHVussAizCBV8sAy7E/oM9vy/sgvN7cfgDCb0AmBpLkxgWX32Xy8PDLxc7l+IWCyp+X/N+1kwg31pSrORR8AIK8gv4qS1aM4Px+NSnfDWa+BG14S1AS7oE/IuynaqjsR2UvIDpbHLCdXn8sDdR64Oar3apJzPpVCpQ/1a9tvwHWz0ARZvAMyzqXy3tRZ1jTwjVs1QN9Xz6Mu/ejdoDdxgbGcLY4naWMqTX9tSnh4OMuXL6dTp/JJHrP/iqXkbDaSWmHZVFe8lm6oJCRl2WcJlJYyBQUxlGw0okCDU52bdzOvDnUiutFxxBH8Qu7lbOLzHDu2gK5dP65WG4klibgp3PBx+feWGAA88Sa1qGY8FZR5GSjrhVZZbsjv69mYkgrA/et2sPHBTqx39eKhrFQ2S4LTpXFqrlwGSExM5MEHH+Sxxx7jCYdMchOSkTQ37jFzTdSOUJxd+fF7RlqMcBsPuLn9AEpKctABCs31e+skZGeQmeXFwHY3ttQ8rnkwH23JxOxdczGWrubU+XP4nDgEQGBgUBWlq0dJUSGaGnrQuVFBQ+3vhCg2Yc4zoPw34grd5sgCSxWcyz7Hx/s/ZlD9QUzrMO1WdwcATbIgzT2HBooaeAK4QbT1LOusDwV2ZPi5FyksKuDt5W+wwbSdJ50e5a1B09Eb9Uxe+jYPd36IrxbOv2Z7wmimYFcS6lrOqDx0CIMZYTBjLjRa3pvMYDQjjAJhtHwWRlG6zwRCgQINRo9LuAbc9298BVWiUulo1/tNAE5daI7BuAGz+SO7192FEBgw0MTh5nicXQuNpMWAvuqCVaAvNqIpzkIdeG3PnRMnY9juHYBCb1liTDYLWsSkgYsbjUQRq/LzUATUJnDbEaIbB+Hv50NSUhLdunWjQ4cOzJ8/n+THu6J2/xcu7nmlSx6VBIoDoM0zN78fQElRNjpAeQMCy3f79gBKnrm3xQ33R11swqBTcjqrgHCPmg9oKWktAkXAqHE1owm5An1RARpNDWlmb9BhSuVlEfqMGUWywIIssFTJ0hNLAVh+Zjl7k/fioHZArVCjVqjRKDWoFWqUkhKBxaXVLMyYMV9+L8wILO+vPB7iGkL7gPZolVq0Si2U/uckLv/5yt6X/SElJBDQMDOYXM8Sik5klIaCEKWaR3FF+C5h/Yi5VMoXl49bJf+r95XVt7ZV2nbZPjNWNacoO49KQUl8HjmRcTyT8gpniAXAq34gi48vJjY+hkuKbJ7VPU7+vmTLOCRKx3zFe0nClFOCMJhxfygMTW37o3YajXns2fMALk4RNI34BoW65mPf1AQhwU+QnDKR06fX0KhRf7vqGI1G8qV8Qtz+fY2Rq9mTFGV81QWrIDcxC7WxCF2ta3vOHY9LAJ0X0x0VvO/vT5ddG9haz+KO3q5+HRJjTqEbYPGM6rX7GH/d04Bu3brRunVrFi1ahEKhwHApF41vDXh4VIkE7sGVCyv/IiXFWQAotdc/7o0nU3F0UtE88Ma9q/poHfmTEqbsP8/vvWo+9ELspQwAwvz9qihZfUpKCtFpb35cGXtQeZYJLMVoQ+WIt7LAUgUvt3yZTkGdSC1MJbUwlRJjCXqzHoPJgMFs2YxmIwpJgUJSICFZXiXLq4Ir3l9RZlfSLv6K/ava/VGbVSxnNq6ZWjKWnLj+gVUgMEiSVKEQIV3x3lJXKi1vea/QKBBGM4VRaZwJsAgr/k7+LDu1DL1JT7GxmF457fE5rSY7qmr7DYWrBnVg9S4Y52O/oESfiotLE87EfoRa5YajYx0cHUNxdAxFpbr+kOU1ScOGA4iLn0Fc/A92CyxqtRo1aqKSo25y78pjkgyoufEnu/yzFnsGp9DL6vv8/HybxH+xsbHc16kT4Vt2MeOeDgx7ahgLvp3PO82bo/Py5t0vfiEwMJCVI4bw0PkMkvUGunTpQp06dZg1axbp6ZbEcknpBdRvWvXS0w1hNgHiciyWW0yZwKK6ToGlUF/CxVQ3OjSumdgxc7o15M+th9kpblw7VxFlhtUFRlMVJatPSUkhbk6+NdPYDS4JSWolSleNHIulFFlgqQIvBy96htycyJwms4kSUwklJstFQmCbyffqfWWoDApcJGcbIUKSAEXFAsWV+6yCyU0iyhyFUlJe8xxWTQ5c1gaVvhdCWGxTlNXro4OuNm5ubSjRp1NUfBGDIRO9/pL1uFrthU7nj0bji1bjg0bri1bji1brg0bji0rljCSpUCg0SJKydFOjVDqgUNScKlahUODg0AODYSX5+ek4O9tnk9LauTWH8w7XWD/sxYABFTeurSq8kIgEONerbd1XWf6Y3v0Hwj0d+L734zQ6c45PZn5AdnY2nTp1Yv369TSoG8rUQ0d57WA0586d49y5c9SqZWvPlfXUAzfc52uSed7yaq75G+b1YCixeJKoddcnsPwYtQdh1jG0Vc0Y8lv//+qb49dxpjQcgjDWfGgHvaEIrcONGS9bMd+YwAKg9HLAmFlcA52585EFlluIUqHEUeGIY3VdEW+940ulqOxwIb6sybHuqeBd9ahdezi1aw+32Wc05lFYGEdhYSyFRfGUlKSg16eTl38SfeZ29PpLCFH1BU+pdESlckOtdit9dUeldCY5ZTlBgUNxc2tl2adyRaPxQqerheIa6RiaRjxP9OEVHDmykA4dJtk1vjrOddhdsLucsenNxkjNaFiKE5JwALSBl+N7lEUKrohv//yL3Vl5rB33Nr9NVXJfS9tlhRPFBhwe7I/Dg/2ZnJfGuP6WQH76U0c4N3AI6uA6N9zna7KwNHBg00dv7nnsxFhsSdin0bpfV/2Vh2NRqR14qGHNLN/E51k0Al43QcFiMptJXWgJThheu3YVpauP3lCM1qFm7G5qwrdH5aXDkHJzAvHdacgCi8x/FpXKBVfXpri6VnwRFsKMwZBJSUk6JnMhwmzAbNYjhAkhjJiFEZOpAKMhF4MxG4MhB6MxB4Mhm7y8YwAkJv1MYtLPV7WsQKPxRql0KBV2XFGrPVCr3VCr3FGr3ZEkQV7eT+zd2w29Xo/BYECv11NSUkJJSQlKpRJHR0ecnZ1xcXEh9VIqQhIcSj1EHfc6eOm8bqqmrAyDpMeZG1/PN6akYNS5otDYJ/yMGtibP5atBaBRLdsgZknJqfxUq6718wMNLi//GM4eBUAd1uhGu3xtikpj0/T+5Oaex04SMmNoAOivIy6U2Wzm1EUNDWoV15gw7FcagTtYpSKjSI9XDUbkTswo/e77PU7tGk6/IMxmDKZitE41ZMNSAxoWlZcDRcczaqAzdz6ywCJz1yJJFsFCo/G+oXZMphKLIGPMQa+/RGFhLPqSdEzmIkymIquQU1yciNGQg8GYbTm/ooS//45Erdag0WjQarXWV5PJREpKCnl5eRQXF6PX6SEAnvnb4nWiU+rwd/LH28EbH0cffBx88HX0xdvB2+bVSX1jT4oG9DWiYTFfSsNkZ9C4Mg75BeGfeQlvnxY2+9dv2wV+obxHAaO72SbnM8Rbcg2p6kbcUH+vial0GUihtGy3Abn5Ftdztc692nUjzxzFqHejf7OaMzTVqSzfS5TSRJM9J2hhVLL+/prR3mRlW+x1TOv/YLeDEqVKjSRJpZpbCUlSlC6HW14lSYGksKyHX/kqISGVCmiSQoEEGI2W4JbSJROFh9OuOnMFDwhVPDOYCyztFR5Jt29wVyyRlzk1mLKLEUVGzIUGFI63pzPBv4UssMjI3CBKpRal0het1hec6uPpUXWUULPZiNlspNf9VceqMBgM5OXlUWQuIk+RR2J+Iol5iaQWppJemE56YTonM06SVphGobHQpq6DygFfR1/cte44qBxsNp1Kh0pSoVQoUUpKi8db6XuVQoVSUpKjyMS7KJBj2y2pBa5U6ly5tCeVGmuXGWhLVxUWGWkoFZC7fr0lNomi9GYhKZCUCrjyfelxj5xC/LVq/snKwyzAhMAs4E83i4DZJz+LvK1bL3u6ISg4eASVzoQiLRrSj1xh9HiFV1yl7yn//vJgL78vKL35mE1w9PfS/iotQeQUSstnSVk6ptLPCDDqwVAAhiJLlFxDkSUSblk/rK8V9Pfq16uOtU+3eHItPfs7UtwaTGYTRmHEaLZsJmGyei1e+d4szByJ8QfuZWO0ip3H91Y8z1y+N1+5oitJks3+0ndIEih0Rsw+lt93tMqE/5Zoenm5olZIqEvrJRTrSSjW08jJASeVAqUkoQAU1ldQINm+Sg7EN+1AixP7OPz3OkwGg03yUWxezZafhzCXflVV+xlLSOhydWT+fLrKsvaS+dOpG6ovaZSIGtDW3OlI4j8QQi83Nxc3NzdycnJwdf033BllZG5PCgwFFiGmKN3mNbskmyJjkXUrNBZSYizBJEyW7YobXNlnkzBhMBpoFzeApqldLDcAuK6F+YhjC/C9FF2tOhPGTSGqYeWaku/ee53Q5Ivl9jsFFBPcpep0ArcUSWEJPKcse2K2WsmXf4XKj5Ue1puNHDMXMjWsKWqVBpWkQqVQWQXPMkH0Sm/Fss+Z2R5kpjQj2NViD2KdXnHZ6N82CoK44j02x0FwhQ09JSYz5wqLiYtwo55KRV13R/RmgcEsMAOBWjUBWjWnCopL9wmrcCpKoyiYhaWsSVzepzcL7nFz5LOG1+eCLUqFmTIh5rJQYzmBspwNWgU/ejv/B0KI6i3fXu00UeateRvE3boZVOf+XS2BZc6cOcyZM4e4uDgAmjRpwrvvvkvv3r2tZXbv3s2UKVPYu3cvSqWSFi1aEBkZiYNDxZai06ZNY/r06Tb7wsPDOXXKfolUFlhkZP59yry9LEJMmVcbl+P6cGUsIDNKkx5hNoPZbH21vBeWMPcmk6VNsxlhMlFgEmT4+qFSqUqfrCWUgFKS0CFwKiyAMi+R0uUAJAml0ohUuiRxlaqg7M01hAFs31eoobmijjCDMFm0LcJs2cym8vsAVDpQO4DGCZSa2yJ+i4zMraY69+9qLQnVqlWLmTNnUr9+fYQQfP/99wwYMICoqCiaNGnC7t27efDBB5k8eTJfffUVKpWKw4cPV2nI1aRJEzZuvJwgTKWSV6pkZG53ypaEbBcMKkMJ1XSP1gLXTO+plSN/ysjcTVRLMujXr5/N5w8++IA5c+awZ88emjRpwquvvsorr7zCpEmXXTXDw8Or7oRKhX8NW3vLyMjIyMjI/He4bh82k8nEsmXLKCgooH379qSlpbF37158fX3p0KEDfn5+dOnShZ07d1bZ1pkzZwgMDCQsLIwnn3ySC6VBgSqjpKSE3Nxcm01GRkZGRkbmv0u1BZajR4/i7OyMVqvlhRdeYMWKFTRu3Jjz5y2RH6dNm8Zzzz3H+vXradWqFT169ODMmTOVtte2bVsWL17M+vXrmTNnjiU89333kVdJCnmAjz76CDc3N+tW+yYED5KRkZGRkZG5fai2l5Ber+fChQvk5OTw+++/8+2337Jt2zays7Pp2LEjkydP5sMPP7SWb9asGX369OGjjz6yq/3s7GxCQkKYPXs2I0eOrLBMWXCtMnJzc6ldu7ZsdCsjIyMjI3MHcdOMbgE0Gg316lnyTbRu3Zr9+/fzxRdfWO1WGjdubFO+UaNGVS7xXIm7uzsNGjSwSYp2NVqtFq1WW92uy8jIyMjIyNyh3HAcZrPZTElJCXXq1CEwMJDTp22D7cTExBASEmJ3e/n5+Zw7d46AgICqC8vIyMjIyMjcFVRLwzJ58mR69+5NcHAweXl5/PTTT2zdupXIyEgkSeL1119n6tSpNG/enBYtWvD9999z6tQpfv/9d2sbPXr04OGHH2bs2LEATJw4kX79+hESEkJSUhJTp05FqVQydOjQmh2pjIyMjIyMzB1LtQSWtLQ0hg0bRnJyMm5ubjRr1ozIyEjuv/9+AMaPH09xcTGvvvoqmZmZNG/enA0bNlC37uVEZefOnePSpUvWzxcvXmTo0KFkZGTg4+NDp06d2LNnDz4+PjU0RBkZGRkZGZk7HTk0v4yMjIyMjMwtoTr375rJJS4jIyMjIyMjcxORBRYZGRkZGRmZ2x5ZYJGRkZGRkZG57ZEFFhkZGRkZGZnbnv9EWuQyu2E5p5CMjIyMjMydQ9l92x7/n/+EwFKWd0jOKSQjIyMjI3PnkZeXh5ub2zXL/Cfcms1mM0lJSbi4uCBJknV/WY6hhIQE2d35NkaepzsDeZ7uDOR5ujOQ58mCEIK8vDwCAwNRKK5tpfKf0LAoFApq1apV6XFXV9e7+gdxpyDP052BPE93BvI83RnI80SVmpUyZKNbGRkZGRkZmdseWWCRkZGRkZGRue35TwssWq2WqVOnotVqb3VXZK6BPE93BvI83RnI83RnIM9T9flPGN3KyMjIyMjI/Lf5T2tYZGRkZGRkZP4byAKLjIyMjIyMzG2PLLDIyMjIyMjI3PbIAouMjIyMjIzMbc9/VmCJiYlhwIABeHt74+rqSqdOndiyZUuFZTMyMqhVqxaSJJGdnf3vdvQup6p5Onz4MEOHDqV27do4ODjQqFEjvvjii1vY47sTe/5PFy5coE+fPjg6OuLr68vrr7+O0Wi8RT2++9i6dSuSJFW47d+/31ouMjKSdu3a4eLigo+PD4MGDSIuLu7Wdfwuw955EkIwa9YsGjRogFarJSgoiA8++OAW9vzW858VWPr27YvRaGTz5s0cPHiQ5s2b07dvX1JSUsqVHTlyJM2aNbsFvZSpap4OHjyIr68vP/zwA8ePH2fKlClMnjyZr7/++hb3/O6iqnkymUz06dMHvV7Prl27+P7771m8eDHvvvvuLe753UOHDh1ITk622UaNGkVoaCht2rQBIDY2lgEDBtC9e3eio6OJjIzk0qVLPPLII7e493cP9swTwLhx4/j222+ZNWsWp06dYtWqVdx77723sOe3AeI/SHp6ugDE9u3brftyc3MFIDZs2GBT9v/+7/9Ely5dxKZNmwQgsrKy/uXe3r1UZ56u5KWXXhLdunX7N7ooI+ybp3Xr1gmFQiFSUlKsZebMmSNcXV1FSUnJv95nGSH0er3w8fER7733nnXfb7/9JlQqlTCZTNZ9q1atEpIkCb1efyu6eddT0TydOHFCqFQqcerUqVvYs9uP/6SGxcvLi/DwcJYsWUJBQQFGo5F58+bh6+tL69atreVOnDjBe++9x5IlS6pMuiRT89g7T1eTk5ODp6fnv9jTuxt75mn37t00bdoUPz8/a70HHniA3Nxcjh8/fqu6flezatUqMjIyeOaZZ6z7WrdujUKhYNGiRZhMJnJycli6dCk9e/ZErVbfwt7evVQ0T6tXryYsLIw1a9YQGhpKnTp1GDVqFJmZmbewp7cBt1piulkkJCSI1q1bC0mShFKpFAEBAeLQoUPW48XFxaJZs2Zi6dKlQgghtmzZImtYbgFVzdPV/PPPP0KlUonIyMh/sZcyVc3Tc889J3r16mVTp6CgQABi3bp1/3Z3ZYQQvXv3Fr179y63f+vWrcLX11colUoBiPbt28vXvVtIRfP0/PPPC61WK9q2bSu2b98utmzZIlq0aHHXa5bvKLXCpEmTKjVWKttOnTqFEIIxY8bg6+vLjh072LdvHwMHDqRfv34kJycDMHnyZBo1asRTTz11i0f136Mm5+lKjh07xoABA5g6dSq9evW6BSP7b3Gz5kmmZrF3nq7k4sWLREZGMnLkSJv9KSkpPPfccwwfPpz9+/ezbds2NBoNjz76KEIOen5D1OQ8mc1mSkpKWLJkCffddx9du3Zl4cKFbNmyhdOnT/+bw7qtuKNC86enp5ORkXHNMmFhYezYsYNevXqRlZVlk7a7fv36jBw5kkmTJtGiRQuOHj2KJEmAxSLbbDajVCqZMmUK06dPv6lj+S9Tk/NUxokTJ+jWrRujRo266y3la4qanKd3332XVatWER0dbT0eGxtLWFgYhw4domXLljdrGP957J0njUZj/Txjxgy++uorEhMTbZZ63nnnHdavX2/jjXLx4kVq167N7t27adeuXc0P4C6hJudp6tSpfPjhhxgMBuu+oqIiHB0d+fvvv7n//vtrfgB3AKpb3YHq4OPjg4+PT5XlCgsLAcrZpSgUCsxmMwDLly+nqKjIemz//v08++yz7Nixg7p169Zgr+8+anKeAI4fP0737t0ZPny4LKzUIDU5T+3bt+eDDz4gLS0NX19fADZs2ICrqyuNGzeu4Z7fXdg7T2UIIVi0aBHDhg0rZ5dSWFhYbh6VSiWAzX9OpvrU5Dx17NgRo9HIuXPnrPejmJgYAEJCQmqu03cat2wx6iaSnp4uvLy8xCOPPCKio6PF6dOnxcSJE4VarRbR0dEV1pFtWP597Jmno0ePCh8fH/HUU0+J5ORk65aWlnaLe3/3YM88GY1GERERIXr16iWio6PF+vXrhY+Pj5g8efIt7v3dx8aNGwUgTp48We7Ypk2bhCRJYvr06SImJkYcPHhQPPDAAyIkJEQUFhbegt7evVxrnkwmk2jVqpXo3LmzOHTokDhw4IBo27atuP/++29BT28f/pMCixBC7N+/X/Tq1Ut4enoKFxcX0a5du2sa/8kCy62hqnmaOnWqAMptISEht67TdyH2/J/i4uJE7969hYODg/D29havvfaaMBgMt6jHdy9Dhw4VHTp0qPT4zz//LFq2bCmcnJyEj4+P6N+/f4U3TZmbS1XzlJiYKB555BHh7Ows/Pz8xIgRI0RGRsa/2MPbjzvKhkVGRkZGRkbm7uSO8hKSkZGRkZGRuTuRBRYZGRkZGRmZ2x5ZYJGRkZGRkZG57ZEFFhkZGRkZGZnbHllgkZGRkZGRkbntkQUWGRkZGRkZmdseWWCRkZGRkZGRue2RBRYZGRkZGRmZ2x5ZYJGRkZGRkZG57ZEFFhkZGRkZGZnbHllgkZGRkZGRkbntkQUWGRkZGRkZmdue/wc6wmqtXIZdWAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 0 unpopulated coastal tracts.\n"
     ]
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 0 units will be axed\n",
      "here is the proposed skipList []\n",
      "here is the final skipList []\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.79353\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For VA my input file says to cut out 1 districts out of 11\n",
      "performing cut no 0 for state VA\n",
      "the total proposed cutPop is 786502.0 . Compare to 784672\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your cut districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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Uuy039W4LWDocf7PtNHNWH2HqR5tZ/tS1+Lq7aBylaKmkD4sQQjSyMqOZt389zLVdg+kd6a91OJpRFIU7BrXnh0evJq/EyJPf7OZcfqnWYYkWyq6EZe7cucTFxeHr64uvry/x8fH88ssv1vPJyclMmjSJ4OBgfH19mTJlChkZGVcs94MPPqBjx464u7szaNAgtm3bZv8rEUIIB5GZX8KJrEK6h/loHYpDaOfvwXt39GXbiWzGvrueC4VlWockWiC7EpaIiAjefPNNdu7cyY4dOxgxYgQTJ05k//79FBYWMmbMGBRFYc2aNfz++++UlZUxYcIEzGZzjWUuWLCAmTNnMmvWLHbt2kXv3r0ZO3YsmZmZDX5xQgihhYgAT27q3ZYvNqdwOrtI63AcwvCYEFbOHEZ2YRlL9p7VOhzRAtnVh2XChAk2+6+//jpz585ly5YtnDlzhpSUFHbv3m3tOPPFF18QEBDAmjVrGDVqVLVlvvPOOzzwwAPce++9AMybN4+lS5fy6aef8sILL9TnNQkhhOZCfd0oM5px0UvLe4XMi81Bbf3rv/CicF71/k0ymUzMnz+fwsJC4uPjKS0tRVEU3NzcrNe4u7uj0+nYuHFjtWWUlZWxc+dOm2RGp9MxatQoNm/eXONzl5aWkpeXZ/MQQghHcS6/lP9uOcUD10YR5ueudTgOIyk1B71O4bqY1jknjWhadicsSUlJeHt74+bmxsMPP8yiRYuIjY1l8ODBeHl58fzzz1NUVERhYSHPPPMMJpOJtLS0asvKysrCZDIRGhpqczw0NJT09Jqnep49ezZ+fn7WR2Rky15ITAjRuizanYpJVXlkWGetQ3EoQd5umMwqh9LlS6awn90JS0xMDImJiWzdupVHHnmE6dOnc+DAAYKDg/n222/5+eef8fb2xs/Pj5ycHPr164dO17hVogkJCeTm5lofp0+fbtTyhRDCXoWlRv68KIn1R87x4+6zjOoegr+nq9ZhOZRRsaH4e7rw50X7MMkKz8JOds/D4urqSnR0NAD9+/dn+/btzJkzh48++ogxY8aQnJxMVlYWBoMBf39/wsLCiIqKqrasoKAg9Hr9ZSOJMjIyCAsLqzEGNzc3m6YnIYTQ2pK9Z/l66ym+3noKgCdGdtE4IsfjotcxpHMgy5LSeWPZQZ4ZE4OHa+ucAVg0vgZXfZjNZkpLbcfVBwUF4e/vz5o1a8jMzOSmm26q9l5XV1f69+/P6tWrbcpbvXo18fHxDQ1NCCGaRVpuMc9/n2RzbHi3YI2icWxv3RJHkLcrn2w8QfdXlhP952VMeG8jaw/LyFBRO7tqWBISEhg/fjzt27cnPz+fr7/+mrVr17JixQoAPvvsM7p3705wcDCbN2/mySef5KmnniImJsZaxsiRI5k0aRKPP/44ADNnzmT69OkMGDCAgQMH8u6771JYWGgdNSSEEI5u6V5LP70FDw5m47Esuof74maQmoPq+Li7sP3FUWw7kc3+s3koCizckcpz3+1l/XPDW+2aS6Lh7EpYMjMzmTZtGmlpafj5+REXF8eKFSsYPXo0AIcPHyYhIYHs7Gw6duzIiy++yFNPPWVTRkWTUYWpU6dy7tw5XnnlFdLT0+nTpw/Lly+/rCOuEEI4quX70hnWNZhBUYEMigrUOhyHpyiKzc9qaJdgRr2zjt8OZTK+V7jG0QlHJYsfCiFEPRxOz6ddgAdnc4oZ88/1fHBHP26Ikw/b+hr37no6Bnox7+7+WocimpEsfiiEEE3oh12pzFy4hxnXdKLUaCbI25XRsVIr3BB3DmrPqz8f4ExOMe1kYjlRDZmCUQgh7LDvTC4zF+4B4GR2EV9tOcldgzvgapA/pw0xuV8EJrPKm78c0joU4aDkN0wIIezwnw3H8bw4FHflgQwGdmrDEyNkCHNDebkZGNU9lKV7z2I01bz+nHBekrAIIUQdmcwqm5LPM6p7ZfPPW7fEodMpGkbVeswc3RWA577bS2ZeicbRCEcjfViEEKIOVFXlpR+TyCooZcbQTnQJ8ebarsF0CvLSOrRWI7atL69N7MnsZQc5lJ7PsieHah2ScCCSsAghRB18v+sM32w7TcL4bsRF+BMX4a91SK3S3YM74Omi5+lv95BbXI6fh4vWIQkHIU1CQghxBaqq8uXmFEZ0C+EhWdCwyQ3s1AaAmQsStQ1EOBRJWIQQ4gqOZhawNzWXW/tHaB2KU4hs40mnIC9WH8pk35lcrcMRDkISFiGEuILVBzPxcNEzvFuI1qE4jb//IQ6AN5Yd1DgS4SgkYRFCOK0TWYVsT8m+4nUbj53jqk5tZJ2bZtS/QwAAehmBJS6ShEUI4bRumbuJW+dtJvlcQY3XlBnN7Dx5gWuiZY2g5pR6oVjrEISDkYRFCOGUzGaVvOJywDLvh8lc/bJqe1JzKCk3M6iTJCzNac7qowAEeLpqHIlwFJKwCCGc0oG0PIxmlSdGdmHnyQt8sSml2utW7EsnyNuNnu38mjdAJ3fnoPYARLaRdYWEhczDIoRwSm8tP4S3m4EHhnYit6iM/1txiJHdQ+gQWDkRnKqq/LIvnXE9Q6UvRTPrHOINQESAp8aRCEchNSxCCKdTajSx9UQ2j1zXGR93F54b141gHzee+24v5ipNQ/vO5HEmp5jxPcM1jNY5+bq74GbQUVJu0joU4SAkYRFCOJ3swjLKjGZiw30By8J7b02OY+uJbP639aT1uqVJaQR4ujDo4kRmonkpCtTQtUg4IUlYhBBOZdepC/xh7mbAMkFZhSHRQdwxqD2zfznE6ewiVFVlyd6zjOsZjkEvfyqbm9FkpqTcjLebDCUXFvJbKIRwKm8uO0RBqZFZE2LpHGy7cGHC+G74e7iQ8EMS+8/mkXqhmBt6SXOQFrKLygBQFOk7JCwkYRFCOBVFgb7t/bn36k6XfRj6uLsw+5Y4Nh7L4sEvd+DjZrCuayOaV2Gppe9KuJ+7xpEIRyEJixDCqWTmlxLmW/OH4LCuwUwZEMHZ3BL6tPfH1SB/JrVQbjID4OkqTULCQn4ThRBO42hGPieyChnWNbjW6168IZaBHdvw4LVRzRSZuFRFwuIi/YfERTIPixDCafxv6ynaeLkyonvtixj6ebiw8OH4ZopKVMdosgwPMugkYREW8n+CEMIpqKrKqoMZ3NArHDeDNDM4uooaFpmwT1SQhEUI4RROZBWSeqGY4d1qbw4SjsHXwwWAvJJyjSMRjkISFiGEU9iRcgFFgYGyiGGLULEYpfRhERWkD4sQwikczcwnMsATbzf5s+fIyoxmZi3ex4VCS81KbSO6hHOR31whhFNIPldI9MUF9YTjemphIkv3pgFw+8BIwmQeFnGRJCxCCKdQUGKkXYCH1mGIWny99RRL96bx2PDOPD06Bp10uBVVSMIihHAKIb5u7D51QeswRA3O5hTz+tIDXN8rjGfGxMiU/OIy0ptJCOEUuoX5cKFIRpw4qk82nsDdRc+bt8RJsiKqJQmLEMIpJJ8rpEOg55UvFJpYf+Qco7qH4uvuonUowkFJwiKEaNUy80p4euEeFu0+Q7cwH63DEdUoN5k5mllAvw7+WociHJj0YRFCtGozF+5h47EsXPQK43qGaR2OqEZxuWVlZm83qV0RNZOERQjRahWWGtl2IpsXxnfj9oHt8fOQD0RHVG40ax2CaAGkSUgI0WqtO3KOMpOZG3qFS7LiwIrKTLjqdRw/V6B1KMKBSQ2LEKLVWnf4HNEh3kS2kc62jij1QhEf/JbMtztO4+/pQv8OAVqHJByYJCxCiFZJVVXWHz3H+J7hWociqvH+mqP8c9VRfNwNPDM2hmnxHfB0lY8kUTP5v0MI0Sql5ZaQlltCfGdZ7NDRfL8zlbd/PcJdg9vz3LhuMpRZ1IkkLEKIVulwRj6ADGV2MNtTskn4IYlb+0fw14k9ZZI4UWfS6VYI0axOni/kiW92cyKrsEmf51BaPl6uetr5y/pBjkJVVf749W76RPrz+qRekqwIu0jCIoRoVvO3n2bxnrNMeG8jvySlNdnzHEjLI7atryyg50DOFZSSnlfCfdd0xNUgHz/CPvJ/jBCiWW0/kc2QzoEMiwnmkf/t4q9LDlBuavx5OBJPXyA23LfRyxX1d+BsHgCx4X4aRyJaIklYhBDNasfJC1wdHcT7t/fl1QmxfLk5hdv+vYVjmfmN9hxnc4o5nV1Mrwj/RitTNNyBtDx83AxEtpFmOmE/SViEEM3mWKZlYjCzWUVRFO65uhMLHoonI6+E8XM28PuxrEZ5nqV703Az6BjbI7RRyhMNp6oqv+7PoGc7P+m7IupFEhYhRLOpqEW5fVB767F+7QNYNXMY8Z2DePDLHeQWlTf4eZYmpTG0SxA+MlzWYfyw6wyJp3O4/5pOWociWihJWIQQzSYjrxSAAE9Xm+PuLnre/kMcJUYzi/eebdBzHMssIPF0DpP6RjSoHNG4ks7k0jnYi1GxUusl6seuhGXu3LnExcXh6+uLr68v8fHx/PLLL9bz6enp3H333YSFheHl5UW/fv34/vvvay3z1VdfRVEUm0e3bt3q92qEEA6toNSIp6ue6hoEQnzdGdkthC83pTToOVYeyMDVoGNEt5AGlSMa1/6zucTInDiiAexKWCIiInjzzTfZuXMnO3bsYMSIEUycOJH9+/cDMG3aNA4fPszixYtJSkpi8uTJTJkyhd27d9dabo8ePUhLS7M+Nm7cWP9XJIRwWL4eLpSUm8gprr7ZZ3K/dhzNLOB0dlG9n2PnyQsM6BCAh6u+3mWIxpVbVM6uUzkM6RykdSiiBbMrYZkwYQLXX389Xbp0oWvXrrz++ut4e3uzZcsWADZt2sQf//hHBg4cSFRUFC+99BL+/v7s3Lmz1nINBgNhYWHWR1CQ/E8tRGt05kIxZhX2puZUez6+cxA6BTY2oPPt3tQc+rb3r/f9ovGtPpSByawysrvUeon6q3cfFpPJxPz58yksLCQ+Ph6AIUOGsGDBArKzszGbzcyfP5+SkhKuu+66Wss6evQobdu2JSoqijvvvJNTp07Ven1paSl5eXk2DyGEYyspNzFvXTIAAzu1qfYaPw8X+kT6s+HouXo9R3GZicz8UiICZHVmR/JT4lmu6hhAuJ8MZxb1Z3fCkpSUhLe3N25ubjz88MMsWrSI2NhYABYuXEh5eTmBgYG4ubnx0EMPsWjRIqKjo2ssb9CgQXz++ecsX76cuXPncuLECYYOHUp+fs1zMsyePRs/Pz/rIzIy0t6XIYRoZu+uOgrAp/cMqHVV3qFdgtl4NAuTWbX7OQx6S+8YmdzWcZzOLmLjsSwm9mmndSiihbM7YYmJiSExMZGtW7fyyCOPMH36dA4cOADAyy+/TE5ODqtWrWLHjh3MnDmTKVOmkJSUVGN548eP59ZbbyUuLo6xY8eybNkycnJyWLhwYY33JCQkkJuba32cPn3a3pchhGhmm5Oz6B3pz4hutY8SubZrEHklxhqbjWqz5OIII5lJ1XH8djgTsPRPEqIh7F6t2dXV1Vpj0r9/f7Zv386cOXN47rnneP/999m3bx89evQAoHfv3mzYsIEPPviAefPm1al8f39/unbtyrFjx2q8xs3NDTc3N3tDF0JoKCOvlF4RV04kekf44+NmYOPRLPq2D6hz+aqqsmD7aXq09a3T84jmcSyzgKggr1pr1YSoiwbPw2I2myktLaWoyNKrX6ezLVKv12M2132dkIKCApKTkwkPD29oaEIIB1JQasStDgveGfQ6hkQHsuGofR1vP9l4gi3Hs3liZJf6hiiawOH0fLqGynBm0XB2JSwJCQmsX7+elJQUkpKSSEhIYO3atdx5551069aN6OhoHnroIbZt20ZycjL/+Mc/WLlyJTfffLO1jJEjR/L+++9b95955hnWrVtHSkoKmzZtYtKkSej1em6//fZGe5FCCO0N6tSmzsOVh3YJZtepC+SV1G3WW5NZ5ftdZxgeE8zYHmENCVM0svS8EiICpLOtaDi7EpbMzEymTZtGTEwMI0eOZPv27axYsYLRo0fj4uLCsmXLCA4OZsKECcTFxfHll1/yxRdfcP3111vLSE5OJiur8ptTamoqt99+OzExMUyZMoXAwEC2bNlCcHBw471KIYTm+nUI4ERWYZ2uHd4tBJ1O4eYPfq/TiKGFO05zMC2PNl7SVOxoispMeLlJc5BoOLv+L/rkk09qPd+lS5crzmybkpJisz9//nx7QhBCtFDlJjMqlr4mV1r8rp2/Bz8/fg2v/LSPuz/ZxvW9wnjphlja+lf/Tf1/W08CMHNM18YOWzRQ0cXZjYVoKFlLSAjRLNxdLB9adV2pNybMh/kPDmbObX3YnnKBkf9Yx9y1yZQZbfvEfbU5hX1n8ph3V3/a1ZDQCG2YzSpF5SbpcCsahSQsQohmsed0DsE+9jXZKIrCxD7tWPP0MO4Y1J63fz3MuDnr2XixQ66qqsz+5RADO7VhXE/pu+JozKr9c+kIURNJe4UQTe7k+UJ+PZDBC+Pqt7Cpj7sLL98Yy5QBkbz80z7u+mQr43qEYVJVispMtPVzb+SIRWMw6HWE+bqTeqH+a0MJUUESFiFEk1uyNw1XvY674zs0qJyYMB8WPDiYnxLPMvuXg2QVlNE93FeGMjuwHm19STqTq3UYohWQhEUI0eSW7E1jeLdgaz+WhlAUhZv7tuOGuHCKy034urs0QoSiqcRF+PPxhuN16mxd1W+HM3lv9VHeuiWOLjKPi0D6sAghmlhGXgkH0/IYE9u4fUxc9DpJVlqADoGe5JUYKSoz1fkeo8nMKz/tY9epHN5afqgJoxMtiSQsQogmtWRvGi56heExIVqHIjRQMRT9VB0nDQRYvj+d09nF3DOkI6sOZnI4vebFcIXzkIRFCNGk9p/NJTLAEz9PqQ1xRt3CLM05Sam192PJLSrnSEY+21OyeW/1Ma6JDuLP13enjZcrn2860RyhCgcnfViEEE0qxMed1Jxiu/swiNbBx92F+KhA/rftFFOuiqz2mvVHznHf59sxmi3DoPU6hbf+EIerQUdkgIddzUmi9ZKERQjRJA6czSNhURJ7TufQt72/JCtO7PZB7Xnim91k5pcQ4nP5EPR/rT5Kh0BP/nZzLwx6hQBPF6JDLDUzZhWZeE4AkrAIIZrIV1tOsud0Du3beDJztEyZ78xiw30BOH6u0CZhySspZ+neNHacvMC8u/oT3znwsntNZhWDTpJdIQmLEKKJJJ8r4PpeYXx4Z3+tQxEai2zjga+7ga82n2RAhwC2HM/mb0sPcOhiZ9oJvdsytkdotfcqCphkxlyBJCxCiCawaHcq205k88akXlqHIhyAm0HPG5N78fjXu1m+Px2TWWVgxza8fWtv+rb3p3Owd433Gk3qZetHCeckCYsQolHlFJXx0qJ9jO8ZxpQBEVqHIxzEjXFtiQjwJPHUBdr6ezA6NvSK/Zoy80o4nJHPI9d1bqYohSOThEUI0aj+t/UU5WaVv97cE4NeZk4QlfpE+tMn0r/O12+4uMjl0C5BTRSRaEnkr4kQolH9uj+dkd1CCPK2b2VmIS518nwhAAadfFQJSViEEI2sfaAX+87mokpHSdFAk/tF4O6i429LD2gdinAAkrAIIRrVqO4hnM4uZufJC1qHIlq4jkFePDmyKz/tOUtucbnW4QiNScIihGhUN8a1xc/DhY3HsrQORbQCk/u1o8xo5vGvd1FqlBlvnZkkLEKIRqXXKYT5unPyfN0XuxOiJqG+7tw9uAMbjmbx6mJpGnJmkrAIIRrVzAWJHM7IZ1CnNlqHIlqJv97ckydGRPP9zlTOF5RqHY7QiCQsQohG8+XmFH7YfYb4qECm1rDQnRD1ce/VnSgzmVm0+4zWoQiNSMIihGgURzLyeeWn/QD8c2ofWexQNKoAL1d6tvNlc/J5rUMRGpGJ44QQDWY2qzzz7R6CvN1Y9uQ11a7IK0RDBXu7YZbh8k5LaliEEA323c5U9qbmMveufpKsiCZzPKuQUF/5/8tZScIihGiQ/JJy/m/FIW7u05arOkpHW9F0+kT6k3g6R+swhEYkYRFC1Juqqox6Zx1ZBWU8O66b1uGIVm5sjzAOpeez70yu1qEIDUjCIoSot31n8sjIK+WJEdG08/fQOhzRyg2PCaFbmA+3/3sLs385SLnJrHVIohlJwiKEqJe8knKe+34vQd5uPDGyi9bhCCfg4apnwUPxTL0qkn+vP87HG05oHZJoRjJKSAhRLx/+lszBtDw+uKMfBr189xHNw8/DhZdujEVR4J+rjjCsazCxbX21Dks0A/krI4Sol5JyE+3beHJDXLjWoQgn9PSYGDoHe/PAlztYcygDsAyvP5qRz7HMAkrKZd2h1kZqWIQQ9ZJfYtQ6BOHE3F30vHd7X+78eAv3fb6DQZ3acCq7iLTcEgBcDTqGxwQTE+ZL11BvYsN96RTkJRMatmCSsAgh6kVR4FS2LHAotBMd4s3mF0by3a5UftiVytAuQdzUux0mVWXfmVw2JWfx9dZTZF1cfyjcz52ro4MY2KkNN/Vui7uLXuNXIOyhqGrLnzYwLy8PPz8/cnNz8fWVtkwhmpqqqgz7+1qu6tiGf0zprXU4QtQqu7CMPak5bDqWxYajWRxKzwfg+0eG0L9DgMbROTd7Pr+lhkUIYbc9qbmcyi5i1oRYrUMR4oraeLkyPCaE4TEhACzZe5bHv97NuXxZ+bklkU63Qgi7PfTVDlwNOgZHBWodihB2GxMbhkGnWJuKRMsgCYsQwm4ms8qNceF4uUklrWh5XA06IgI8pA9WCyMJixDCbu38PVhzKBOzucV3gRNOKsjbTZqEWhhJWIQQduvfoQ05ReX8djhT61CEqJee7fxYd+QcBaUyPL+lkIRFCGG3IB9XXPQKfdvLCAvRMj1wbRRFZUZm/bRfagpbCElYhBB2KSoz8tG640wZEEkbL1etwxGiXtr5ezB7ci9+2J3Kiz/uoxXM8NHqSY85IYRdvt56iqIyIw8P66x1KEI0yKS+ERhNKs9+txd/TxeeH9dN65BELaSGRQhhl3VHzjE4KpDINp5ahyJEg906IJInRkQzd20yuUXlWocjaiEJixDCLqeyi+ga6qN1GEI0miHRQQCcySnWOBJRG0lYhBB1VlRm5MyFYjoGeWkdihCNpm97f3zdDSzanap1KKIWkrAIIepsw9EsjGaVIZ1lhlvRergZ9Nwd34H/brH0zxKOSRIWIUSdbTl+Hm83A52DvbUORYhGNTgqkOJyE9mFZVqH4pBMDjD0266EZe7cucTFxeHr64uvry/x8fH88ssv1vPp6encfffdhIWF4eXlRb9+/fj++++vWO4HH3xAx44dcXd3Z9CgQWzbts3+VyKEaHJJqbnEtpUV0UXr4+GiB+BIRr7GkTQ/k1kl+VwBP+85yx3/2ULHF5Yy6I1V9Jy1gpiXfiEqYSmd/7yMj9YlaxqnXcOaIyIiePPNN+nSpQuqqvLFF18wceJEdu/eTY8ePZg2bRo5OTksXryYoKAgvv76a6ZMmcKOHTvo27dvtWUuWLCAmTNnMm/ePAYNGsS7777L2LFjOXz4MCEhIY3yIoUQDZeWW8yOkxd4Z0pvrUMRotH1ivBjYMc2PPTVTsbEhvHIdZ3p2c5P67AaXXGZiUPpeRxIy+PAWcu/h9LyKS432VwXHxVIj7Z+uBp0ZBWU8t6aYwR5u2kUtYWiNnC2nDZt2vD3v/+d+++/H29vb+bOncvdd99tPR8YGMhbb73FjBkzqr1/0KBBXHXVVbz//vsAmM1mIiMj+eMf/8gLL7xQpxjy8vLw8/MjNzcXX1/59idEU5i7Npm3fz3M+ueG087fQ+twhGh0ZUYz/9lwnDmrj+LrbmDj8yNwv1jz0hKdyy+1SUwOnM3lRFYhZhX0OoXoYG9i2/oSG+5LbFtfuof7VjsZ5Idrj/Gv1UfZ8dJovBt5wVN7Pr/r/cwmk4lvv/2WwsJC4uPjARgyZAgLFizghhtuwN/fn4ULF1JSUsJ1111XbRllZWXs3LmThIQE6zGdTseoUaPYvHlzjc9dWlpKaWnlolV5eXn1fRlCiDraduI8/TsESLIiWi1Xg47HhkdzQ69whv9jLT/sOsMdg9prHVadZOaXsO1EdpXkJI/Mi4s7ersZ6B7uwzXRQTx4bRSx4X50CfWuUzKmqio/7j7DmNiwRk9W7GX3syclJREfH09JSQne3t4sWrSI2NhYABYuXMjUqVMJDAzEYDDg6enJokWLiI6OrrasrKwsTCYToaGhNsdDQ0M5dOhQjTHMnj2b1157zd7QhRD1dOBsHhuPZfH48C5ahyJEk+sY5MW4HmF8vOE4U6+KRK9TtA6pVhcKy7h+zgayCsoI83WnR1tfpl4Vaa05iQzwRFfP13AoPZ8jGQUOMQuw3QlLTEwMiYmJ5Obm8t133zF9+nTWrVtHbGwsL7/8Mjk5OaxatYqgoCB+/PFHpkyZwoYNG+jVq1ejBZ2QkMDMmTOt+3l5eURGRjZa+UIIW++sPEywtxszhnbSOhQhmsWD10Yx6cNNLN+Xzg1x4VqHU6sXf0wiq6CMJX+8ptH73SzecxY/DxeGdglu1HLrw+6ExdXV1Vpj0r9/f7Zv386cOXN47rnneP/999m3bx89evQAoHfv3mzYsIEPPviAefPmXVZWUFAQer2ejIwMm+MZGRmEhYXVGIObmxtubtp2/hHCWaw5lMGqg5m8O7UPXhpXCQvRXPq2D2B4TDB/XXKAa7sG4ePuonVI1VJVlWVJ6QCNPt2Aqqr8vOcs1/cKw9Wg/SwoDY7AbDZTWlpKUVGRpUCdbZF6vR6z2Vztva6urvTv35/Vq1fblLd69WprvxghhHaKyow8+U0iV0cHMrFPW63DEaJZ/W1SL3KKy/jjN7vJzCvROpxqHckoAODp0V3xcG3cDsK7TuWQeqGYCb0d43ffrq9LCQkJjB8/nvbt25Ofn8/XX3/N2rVrWbFiBd26dSM6OpqHHnqIt99+m8DAQH788UdWrlzJkiVLrGWMHDmSSZMm8fjjjwMwc+ZMpk+fzoABAxg4cCDvvvsuhYWF3HvvvY37SoUQdvvwt2TyS428fGMsiuLY7fhCNLZ2/h58eGc/nvsuiVHvrOOhYZ2ZPqRjvTuf7jx5gY1HswBQFAjzdWdk9xAC7RwufCQjny83p+Cq19M70tIENK5nza0S9fXznrOE+LgxqJNjzGxt1089MzOTadOmkZaWhp+fH3FxcaxYsYLRo0cDsGzZMl544QUmTJhAQUEB0dHRfPHFF1x//fXWMpKTk8nKyrLuT506lXPnzvHKK6+Qnp5Onz59WL58+WUdcYUQzWtTchbz1iVz79Ud6RYm0wUI5zSiWyirZgbwzsojzFl9lMWJZ/ny/oGE+rrXuQyjycy/Vh/l/d+O4evhgoteh6qq1ll1B3Zqw99u7kV0SO1NOrtOXeDD35JZdTCDUF83yoxmPv39BECjN9mYzCpLk9KYENfWYTodN3geFkcg87AI0bjKjGbGvrueYB83/nv/IIdovxZCa8cy87n7k23oFIX/zhhEpzosApp6oYgn5yeSeDqHJ0d24bHh0dYEIKuglF/2pfPyj/t465ZeTL2q5iHUP+4+w58WJNI52IuHh3VmYp92lJvMvLfmGOm5xfzfH3o36u/p78eyuPPjrfz42NX0ifRvtHIvZc/nt/wVEkJc5pd9aZzIKmTWhFhJVoS4KDrEh+8eGYKbi45b523mWGbt0/iv2J/O+DkbSM8tYeFDg3liZBeb2oogbzdGdLPM6B5SS41NdmEZr/28nxvjwln51DBuHRCJq0GHl5uBF8Z3493b+jb67+nixLN0CPSkd4TjzPYrf4mEEDZyi8t5felBhnS2TM0thKjUzt+Dbx+Kp42XC9M+2UZGNZ1xzWaVOauO8tBXO7kmOohlTw6lf4c21ZaXnmu5P6yWhOWNZQcxmVVmTehR7/lU7FFqNPHLPktzkCP1XZMxikIIGx/+dozM/FLemdJH61CEcEiB3m58cd9AJn2wifs+387Ch+KtQ/6Lyow8vXAPv+xL55kxXXlseHStH/oVCc+RjHx2pGSTeqGY9LwSyoxmyk1mSo1mNhzNYvbkXgT7NM90HhuPZpFXYuQmBxsZKAmLEMIqt6icjzee4MFro7imS5DW4QjhsML9PPjs3qu4dd5mnvhmNx9PH8CZnGIe+HInJ88X8tHd/Rnb48ojdwpLjQA8OT8Rg06hXYAHob7ueLjocdHr8HE38McR0Uwd0HyTo64/co72bTzpGurTbM9ZF5KwCCGs3v71MCazyg29HHtmTyEcQfdwX96d2ocZX+7gb0sPsmj3Gbzc9Pzw6JA6j6y7qU9bokO8CfV1J9TX3SFG5PyefJ6rox1jKHNV0odFCAHA0wv38NWWkwDEOVBHOyEc2ajYUK7qGMAnG0/QNdSbnx67xq5pANwMevq2D6Ctv4dDJCvpuSUcyyxgSGfHq2GVGhYhBEcy8vl+VyoAu18e7VAd7YRwdLMn92LNoUzuvboTLvqWXQ+w/ug5FAWuiZaERQjhgD787Rjt/D1Y/fSwOi05L4SoFB3iQ3SIY/X3qK91R84R186PAC9XrUO5TMtOBYUQDWYyq6w8kMEf+kfUnKwcWwXv9ID5d0LWseYNUAjRLApLjaw5mMmYOnQW1oLUsAjh5D77/QSFZSaurqkKeM98WPSQZTsvFc4dhj/uaL4AhRDNYuWBDIrLTdzkIIsdXkpqWIRwcntTcwG4qmPA5SfLCmHZs7bHzh+Flr+ihxDiEot2n+GqjgFEtvHUOpRqScIihBMrPrSSNse+Z1xQFkr2cduTZUXw0+NQmnf5jdIpV4hW5WBaHhuOnmNS3witQ6mRNAkJ4azO7MR9/q28igoFwHtAlzEQ0BEMbrDpPY0DFEI0hQNn8wj2cbPOnFtuMpPwQxKdg735Q39JWIQQDkZN/AaFS5p2jv6qTTBCiGaRklXI9f/agIeLnq/uH0jnYG9eX3aQ/WdzWfBQvEMvdioJixDO6Hwy6o5PqXPDTs9bYN/3lu3A6KaKSgjRxBbuOA1AW393/jBvMwCueh2zJ8fRr301/dgciCQsQjij3V+hU02W7ZgbIG4KRA2Ds4mQdwZcveD0dig8B9c+A0nfVt4b2lOTkIUQDWM0mfluZyp3D+7AKxNi2Xo8m6yCUuI7BxJay2rRjkISFiGckDnjYGWP+6ufgPaDLdudh1de1GNS5XZ+euV2WK+mDk8I0QTWHj5HZn4pU6+KxEWva3ELnDpuY5UQosnoji6v3Nn27yvfYCyp3A6JbfyAhBBNbv720/Rs50vPdi1zrTBJWIRwNnu/tdk1l1QzbPlSuiqVsZ6Ot4qrEKJ2GXkl/HY4k6kDIrUOpd4kYRHC2fwww2ZXF/9o7denbIQ931TuB3ZugqCEEE1pWVIaekXhpj7ttA6l3qQPixDO5MJJ2/0XToO7b83Xl+TC5zfYHlPNjR+XEKJJ7TqVQ892vvh5uGgdSr1JDYsQziRjv+1+bckKwKGllx/LOtp48QghmkXi6Qv0iXTsYctXIgmLEM6k8Fzl9rXP1nxdBY82lx/rMKTx4hFCNLnzBaWczi6mb3t/rUNpEElYhHAmrl7WTXNqHVZcbtvn8mOFWY0XjxCiya06mIGiwIDqFjhtQSRhEcKZFGVbN1W925Wv9wmD+1bYHju4uJGDEkI0pYU7UrmuazDhfh5ah9IgkrAI4SzMJoxb/2Pd1fe7u273tR8M06okKRvesXTGFUI4vOIyE3tO5zC8W4jWoTSYJCxCOIsdn2LIPgKAsd1A6H5j3e/tOBTC+1i281Lh4JLGj08I0eh2nMzGaFYZHNXy50+ShEUIZ5CXhnl5gnXXMOoV++4vvgBlhZX7OpkRQYiWYOOxLIJ93OgS4q11KA0mf3WEcAaF59CZywFQ/TugdBpa93vLi+HvUZX7vhHQfUIjByiEaAq/H8vimuggFKXOa7M7LKlhEcIZBMdg1lkmjDIqrvbde3qb7f5Nc8DVs5ECE0I0lYJSI/vP5jE4qprpCVogSViEcAYGN0zBPSybF45Bab4dN6uVm52uhehRjRubEKJJHErLQ1WhVzt/rUNpFJKwCOEkXCL6AqCgwtnEut94oMoIoa7jGzcoIUSTuVBkaQYO8a3DFAYtgCQsQjiLiKusm+bVr9nMyVIjVYVdX1bux97UBIEJIZpCXrElYfF01WscSeOQhEUIZ9HjZoweQQDoUrdj/PBqyDpW+z2leXCxsy7u/uAX0bQxCiEazeGMfML93PF0bR3jayRhEcJZuHphuPVTjG7+ABgKzmL86hYoK6r5nvR9ldthvZo2PiFEozGbVZbuTeO6mGCtQ2k0krAI4UyihmF4dBMmL8usl4bcFDixrubrfcIqtz38mzQ0IUTj2ZOaw5mcYm7u007rUBqNJCxCOBvftuBVZZruKgsiXiagI7henHAqZSOYyps0NCFE4zh9oRiA2La+GkfSeCRhEcLZ7P8BfaalqcfYpit0uKbma3V66DrWsl18AY7XUhsjhHAYZy4U4+NuwMfdRetQGo0kLEI4kzM7Mf30hHXXMOIF0F3hz0CPyZXb+39oosCEEI2puNyEXqdgNJm1DqXRSMIihLM4swvjFxPRlxcAYO55q20yUpPoUeDqY9k+uASMpU0YpBCiMQyPCSanqJzE0zlah9JoJGERwhmc3Y3xi4kYyiwz3JraX4Pupn9BXdYXcXGHbtdbtktzIfm3JgxUCNEYerXzQ69TOJRuz6zWjk0SFiFau9PbMX4+AUNZHgCmyCHo71po33pA0iwkRIti0OvwctVTUGrUOpRGIwmLEK1c+bf3VdasRMajv+vb2kcGVafzcHDzs2wfWgblJY0cpRCisbnodZQbpQ+LEKKlUCqn5dbf+A64edtfhsENut9o2S7Lh2OrGik4IURTKDWayC4qI9indawjBJKwCEdReB52fAo5p7SOpNVx8a0y58qGf4C5nt+4uk+o3D7wY4NiEkI0rb2puagqdAtvPfOwtI4FBkTLVl6M6f2B6IuzLPvxj8PY17WNqbUwmzCfTaz8ZrLvO4xFORjuWmiZY8Ue55Mrt4tzGilAIURTWJaURoiPG3Ht/LQOpdHYVcMyd+5c4uLi8PX1xdfXl/j4eH755RcAUlJSUBSl2se3335bY5n33HPPZdePGzeuYa9KtCjqmtcrkxWAze9D3lntAmpNzCZUvbvNIcPxVXAhxb5yTOWw6b3K/cGPNDw2IUSTyMwrYf6209zSPwKdrg4jAVsIuxKWiIgI3nzzTXbu3MmOHTsYMWIEEydOZP/+/URGRpKWlmbzeO211/D29mb8+PG1ljtu3Dib+7755psGvSjRgqTugM0fXHZYXfykBsG0QgZX9Ld+isolf7T829tXTuLXUJBu2Q7tBdEjGyc+IUSjW7D9NDoFHh7WWetQGpVdTUITJkyw2X/99deZO3cuW7ZsoUePHoSFhdmcX7RoEVOmTMHbu/ZOfm5ubpfdK5xAeQnGHx7BwOV9KpRjv2oQUCvVZRTK0JmW/iuAGncbit6O6brLS2DVq5X7499q3PiEEI1q+f50hncLwc+j9UzLDw3odGsymZg/fz6FhYXEx8dfdn7nzp0kJiZy//33X7GstWvXEhISQkxMDI888gjnz5+v9frS0lLy8vJsHqLlUde9hSH7CACm4B4aR9OKnViPafM8664SO9G++9MSoTjbsh1zPXS8uvFiE0I0qtPZRew/m8e4nq2vEsDuTrdJSUnEx8dTUlKCt7c3ixYtIjY29rLrPvnkE7p3786QIUNqLW/cuHFMnjyZTp06kZyczJ///GfGjx/P5s2b0eur7xQ4e/ZsXnvtNXtDF47k7G7U3+dYGyr05/bbnn/6cLOH1OrknsG09Bn0R5ZR8Ztkih6DvqudfcTO7KzcrlgIUQjhkJbvS8fVoGN4TMiVL25hFFVVVXtuKCsr49SpU+Tm5vLdd9/x8ccfs27dOpukpbi4mPDwcF5++WWefvppuwI6fvw4nTt3ZtWqVYwcWX07eWlpKaWlleuZ5OXlERkZSW5uLr6+rWcIV6tlLMM471oMWQerP99jEtz6ebOG1OLkpcEvz8HBxZgGPYJ+3OzLptk3/aMH+vzUyv2oEehv/xpcPOx7rm9uh8PLLNsPb4SwXg2NXgjRRG6Zu4kAT1c+nj5A61DqJC8vDz8/vzp9ftvdJOTq6kp0dDT9+/dn9uzZ9O7dmzlz5thc891331FUVMS0adPsLZ6oqCiCgoI4duxYjde4ublZRypVPEQLsuHtmpMVgPF/b75YWhpVRV3+Z3inGxxcDIB+61xI32t73dFVNskKN/wD/Z3f2p+sGMvg+DrLtlcIhEjTnRCOKjO/hJ0nLzC+FTYHQSNMHGc2m21qO8DSHHTTTTcRHBxsd3mpqamcP3+e8PDwhoYmHFHaXszrLZ0/zYoBhjxRea5tP3g1F7zt///GWahLn0bZcvmoKvYurNw+sR7T/Dsq7+lzF1w1A/T1mHbp9BYoL7Rsdx4BOplrUghHted0LgBDogM1jqRp2PXXJyEhgfXr15OSkkJSUhIJCQmsXbuWO++803rNsWPHWL9+PTNmzKi2jG7durFo0SIACgoKePbZZ9myZQspKSmsXr2aiRMnEh0dzdix0lbe6pjKMS56BJ1qWYxLGfoUdL+p8vzZXXByk0bBtQDbP0HZ8UnlfqdrrZvle7+zbJzejul/U9GbLF8izN0nokywrQG1y7HVldsylFkIh3YwLY8ATxfCfN2vfHELZFfCkpmZybRp04iJiWHkyJFs376dFStWMHr0aOs1n376KREREYwZM6baMg4fPkxuriUL1Ov17N27l5tuuomuXbty//33079/fzZs2ICbW+tZ/0BctPFdDJn7ADAGdUe59jlo2xezvsp7/dl42PYfjQJ0YOeTMf06q3J/3Jsw/WfKg7oDYCjKhLw0jN/cgd5YBICpyzh0t3xcv5qVCskVCYtiqWERQjiszPwSwvw8UJTWM1lcVXZ3unVE9nTaERrJOIB53rXo1HLMih7djFXQrp/l3K6vYPHjttfftwLaD27+OB1R2h74qLI2RQ2MRnl8BygKxjfaYyjLxegRhBLSDf3JjQCYOlyD/q7vwaUB37QyD8GHgyzb4X3goXUNeBFCiKY2/dNtGHQKn9xzldah1FmTdroVwm4m48WmoHIAlCFPVCYrAP3uhtsX2N6zf1EzBtiMzGaM3z8Mr/rBvKFQlF379YVZNsmKMTAG5f6V1hFBqpvlF9xQnGVNVoxeoehv/bxhyQrAioTK7R6TGlaWEKLJHcssIDq0HquxtxCSsIimt/k9DOmJABjbdEW57oXLr4kZZ2nmqHBsVbOE1uxOb8WQdHHpifS9GP83Fcym6q8tL8H0vW1fMMP0H8GzTeV+7A025806VwxTv2p4x+XUnZC8xrLtGwGDHmpYeUKIJpddWEaIT+vsvwKSsIimdu4IpjVvAKCiwzDpw5q/+Qd1rdw+fwxMxmYIsJldMvzYcGYb/F5Np1hjKaZvbkd//LfKY/csA9+2NpcpI1/B2KYLACoKuj98DO0HNTzOrCoT90UNs384tBCiWZ3LL6XEaMK/lU3HX5UkLKLpmE0YFz2C3lxm2Y9/FCJraVvtNMx2Pzu56WLTSs6py4+tfg2yjlbulxdjXjAN/XFLDYfJ4GlJVqqbEt/VC8P9K2DsGygPrAF7p92vScTAyu0Di+HoysYpVwjRJJbvT0enKAzv1vpmuK0gCYtoOlvmYji7AwCjfxTKiJdqv15vsB0x5BfRhMFpo/xYZY2JGnVd5Yn3B8DZRCjJhdfD0B1dDoBJ74F+2qLa1+/xCoT4x2z7BTVUULRl3SCAsnz4egpsmQstv4++EK2Oqqos3H6aIZ0DaePlqnU4TUYSFtE0zidjWv0XwNJUYWkKukKzgqkcxWTpmGsM6AyuXk0dZfO6cBKXi2smGcP6otzwjs1pdcHd8GZ7675J74b+jq+1Gy11y8fQ/eIK7aoZlr8AS56Ci++REMIx7DqVQ9KZXB4YGqV1KE1KEhbR+MxmjIsetU5exsAHocPlK3pfJj8dBTMAerdW2NM9s3I5AkPkAAjsDGPfsB5Tciubi8yKHv30xdrOfeLqBbd+CUOrrAe28zP47y1QfEG7uIQQNhbtTiXcz51rooO0DqVJScIiGt/2/2BI3QKA0bcDyqhZV7jhIn1lZzG1NL8pItNWWC/Ui79yxgM/WzoVxz+G2vfyNbd0t2lYs2ITiA5GvgKT/g36i1XNJ9bBf0bC+VbYx0iIFsZsVlmyN42b+rRFp2udE8ZVkIRFNK7sEzYzshomfVD3ph2vyqG4ugvHW98oIb92mLtYZoA2FKbD0V8BUPrcbr1EHfggvJRpGebtSHpPhelLKvezk+F/t0qfFiEcQGm5mWDv1j87vCQsovGYzZh+ehy9qRgAdcD90Glo3e/X6W33f3qsEYNzDPqr7rdum7Z/atnoMAQeXAcPb0S5/u9gcNA/PJEDbfcLMq0T2AkhtKHTKbjoFcpNrf/LgyQsovHs/KxytlWfCJTRr9lfxvAqI4n2zocLJxspuCsoPG9Zw+hCStM+T5WRPLrkVVCSZ9lp2wfCejXtczfUpcnJpHnaxCGEsCozmskrMRLk3XpHB1WQhEU0jpxTmFa8bN013PweuPnYX07VDp4Ac+Isw32bkqpS/uVkWPYMxk/GQVlRkz2VaUnl6zN5hoCuAQsTNjebPisKBHfTLBQhhMXJ84UAhPu1/skdJWERDaeqmH76I3qj5RdH7Tut/qNbdDqY9pNt8R+PbGiEtUtejUtGIgCGgjTY9u+meZ4T69Ef/BEAo3sbDNMXgatn0zxXU/i1MiFlyB8tc7UIITS15lAm7i46BnQM0DqUJicJi2i43V+hP7EWAKN3OMrYvzWsvEtmvFXMRji9vWFl1iRjv2WYbhXG9e9AcU7jPk/BOYyLKlekNoz5C4T2aNznaGqnt1ZuX1oTJoRodpl5JXy5+STDugbj7qK/8g0tnCQsomHyzmL65c/WXcPE98Ddr2FlKgq8cskqxkuealiZNdm74LJDhrJc2PSvhpVbXgJb5kHmIcg7i/HzmzDkWfrjGNsOgD53Nqx8LYTHVW63xmUThGhBzGaVGV/uwGRWefnGWK3DaRYtqAFdOBxVxbT4SfTlljlTzL1vR9dldOOUrdPDxA+sI4XUjH00xXgU8+EVlVl7rymY9y9CZy7HtOlD9AMfBJ8w+woszIKdn2Hc9CGGksqkq+IXzejeBsOUzy1NXy1N1VWld30F7fprF4sQTm71oUz2puby7cPxRAS0oKblBmiBfzWFwzj5O/pjlrlEjJ6h6MbNbtzyqyzkp6DCvu/h41FwclPjlG8sRZd1qHL/5g9RLg471puKMV9cWuCKCs7B9k8w/fdWTO/Ewpq/2SQr1qfzaYfh3qXgH9kY0Te/qCpNdTs/g/x07WIRwsn9e30yAzoEcFXHNlqH0mwkYRH1k/QdfH6Dddcw5jXwaOROX24+mF19K/e/uw9St8Nn4+GNCMjPaFj5h3+xbppjJ4HeBWXoM5hcLMsC6BL/B0d+rfn+gkzMPz6G+R8xsHQm+mO/Vi5HcAlTh2swPLIRQltw1e3gR233k9doE4cQTm7XqQtsT7nAg9e27rWDLiVNQqJe1GXP2TbR9Li5SZ5Hd9W98Pucy0+U5VP+7xG4/GkP6O3837i0AGa3s32eDkMsG97B6Me9Dj8/CYDxx8cxPL4FPKt8izGVw/aPMa1+3docVsHoHoi+z1SUAffBifWQcwo6DUUfNaJlNgNVte97232lhb8eIVqojzccJyrIi1HdQ7UOpVlJwiLsk7YXddO/UIrPVx67Y+GVV2Kur5GvQs5p2P/DZadc8lPhyC+VKwpfSVkhZBzAvHDa5VWLMeMrt/tNx3TgZ/TJqzAUZWBe+gy6Wy/OSlt4HuNXkzGkJ1LRJ9/o6oNh4AyInYghvE/lBGtBXer+OluCc4dt9xP/B71v0yYWIZzY7lM53NS79a8ddClJWETd5GdgXvkKyt4Flv4kFeJug65jm+55dTq49TP4w6egmqG8CGZHWE+rSd+h1CVhMZso/88oXM4duDxZmfKlbb8SRUE/8X2M7w/CUJaLbv/3EDsBOg3D+NkNGLIsqy6rKKh978IwchZ4B19aausz4iXY/L7lfYCmG2ouhKjRiaxC0nJL6Nu+9c+7cilJWETtjKWon12PcmaHzQe9WeeCMvhRlBEv1Xhro1IUUPSW2XP/fBbeaGs5fOBHyyKJV2oWOrsbl3MHbI/1vxcmvFv99b7hGG78B/wwAwDTokdR/CMxZFlqGYxeYRhu/x9KxIAGvKgWxuAGMdfDoYuLIBqLtY1HCCe0Yn867i46hnV1gi9Jl5BGaFGzMzvhbyEoZ3ZYD5n1bjD8JXRP7UcZ8xcwaLB+heGS5qe/Bl75nurWCKopWanQ6w+Yu90EgN5YhK4iWfEIxnDfMnCmZAWgJLcyWanQXGs9CSEA2Hr8PFd1bIOHa+ufKO5SkrCI6m16H/5jO72+GtQV3VP7YNiz4KNhZy+dDmNAZ9tj52uZyCw/Hb6vXCWZnrfAq7lXfh5FQTfhnxjdKxMik4s3hju+hsDOtdzYSlWX9FXTt0gI0XTC/Dw4X1CmdRiakIRFXG7Te/Dri7bHJvwL5fHt4B2iTUyXMEx4x/bAe/2qv/BCCvwjxrpr0rvB6L/W/Ym8gjBMnodZ54rRKwz9vUshcqD9AbcGnkGXH1ttx89SCNFgbgYdJrN65QtbIUlYhK2Vr8Cvlf1SVEUPMw9B/+kaBlWNqOvgqf02h9S/dwFVtTRdZB2FlI0wp7fNNfopX4Cf7ZDmK+o6Bt1zyRj+tAfa9mlY3C2ZXzu48zsY+kzlMdXc+OsuCSFqVGo0Y9A71+igCtLpVlipS59B2f6fyn13f5Q/7W342kBNxS8C2sfDqc0AKIWZmP8ags5cQ3XpQxts18Oxh7vvla9xBl1GWx4lObD9Y0CFjH3Q8RqtIxPCKew7k0t0iLfWYWhCaliEReLXNskKYGkCctRkpcL0n212a0pW1Kjh9U9WxOX8KoeW8+09moUhhDPJKSpj39lcru5cTfOsE5AaFgH7F2H+6XFr9qp2vAbl9gXg1gKyeL0LPPAb5QvvhZI8VO8Q9L6h6H3CLP1tDO7gE26ZeVY0nvIqQ5oLz0FBpsP0bxKitdp9KgdVhfjOdRgZ2QpJwuLsMg5g+uFh9KplJV51wP0oN75zhZscTLt+uDy1R+sonEvcVFj3VuX+zs9h2HOahSOEMzibW4yiQLifu9ahaEKahJxZ8QWMX9+G3lQCgBp3G8r1b2sclGgR2lyy6JqLcyxvL4SW1h0+R1w7Pwx65/zods5XLUBVUX9+CkOuZeIvY3APlAnvtvwF+kTzSN1hux//mDZxCOEkzuWXsuZQJpP62jnKsRWRJiFnZCpH/b9OKKWWlYZNBi8Md85vugUMRetzfG3l9oiXKhd8FEI0iUW7U9HpFG6WhEU4jfISeD2Uqh8v+mtngn97zUISLZCpymistjVM2ieEaBSqqrJg+2nG9QjD31OD5VAchNT/O5PiC5j+bTvdPr2mwNCntYlHtFwXO2kDoHO+NU2EaE7bUy6QfK6QqVdFXvniVkxqWJxF3ll4pzs2Hy1hcXDLf2q6Q4iaqebKbUW+9wjRVMxmlTeWHaRbmA/xUc45nLmC/KVxEsYll9SiRA2HB9dpE4xo+cxValgUqWERoqn8eiCDxNM5vHZTD3Q65+4rJjUszkBV0R1bWbn/yGYIjdUuHtHyVU1Y9n0PHa/WLhYhWqm1hzN55ts9xEcFMsjJa1dAalicg6JgdvECwOgRJMmKaDivKlOD7/gE0mTiPiEa2/8tP0xsuC8fTeuvdSgOQRIWJ2F2u7gmUNVvxkLU15AnwDuscv/Xl7WLRYhW6MDZPA6k5XH/0E74urtoHY5DkITFSehLLlzcMoOqahqLaAX0BnhkU+V+xj7tYhGiFfq/FYfoEOjJ8BhZo6uCJCxOQl+WB4ChNBdyTmocjWgVvALBJ9yyXXQe8tK0jUeIVmLOqqOsPXyO58d1w9UgH9MV5CfhDExG2/2KDxkhGqrTsMrtn5/ULg4hWolD6Xn8c9UR/jgimvE9w658gxORhMUZKDrMimVAmNngAQY3jQMSrUbPyZXbuae1i0OIVuJfq4/Szt+DP47ogiJLXtiQhMUZnDuETrXUshjdZWicaEQleZXbmQe0i0OIViAzv4RlSek8PiJamoKqIT8RJ1C+8J7KHVdPzeJoKT744AM6duyIu7s7gwYNYtu2bVqH5LgCoyq3palRiAZJziwEYGCnNhpH4pgkYWntjq3C5fxh665Lz5u1i6UFWLBgATNnzmTWrFns2rWL3r17M3bsWDIzM7UOzfEU58B/qqxNFdRFs1CEaA1SzheiUyAyQL5YVseuhGXu3LnExcXh6+uLr68v8fHx/PLLLwCkpKSgKEq1j2+//bbGMlVV5ZVXXiE8PBwPDw9GjRrF0aNHG/aqhEXWMfjvLdZdVWdAGf5nDQNyfO+88w4PPPAA9957L7GxscybNw9PT08+/fRTrUNzPLu/st0vydUmDiFaiZTzhbQL8JDmoBrY9VOJiIjgzTffZOfOnezYsYMRI0YwceJE9u/fT2RkJGlpaTaP1157DW9vb8aPH19jmf/3f//Hv/71L+bNm8fWrVvx8vJi7NixlJSUNPjFOa3Dy+GvwfC+7eyIysQPQDpx1aisrIydO3cyatQo6zGdTseoUaPYvHmzhpE5qJxLOtnePE+bOIRoJVKyCukY6KV1GA7LrrWEJkyYYLP/+uuvM3fuXLZs2UKPHj0IC7MdgrVo0SKmTJmCt7d3teWpqsq7777LSy+9xMSJEwH48ssvCQ0N5ccff+S2226zJzwBcHQlfDP18uMT5kBv+XnWJisrC5PJRGhoqM3x0NBQDh06pFFUDsy3beV2x6Gy5IMQDZSSVST9V2pR73onk8nE/PnzKSwsJD4+/rLzO3fuJDExkfvvv7/GMk6cOEF6errNN1o/Pz8GDRpU6zfa0tJS8vLybB7iokNLLjukDnoE+t/T/LGI1q28uHI7ZQP89Jh2sQjRwpnNKinnC+kYJDUsNbE7YUlKSsLb2xs3NzcefvhhFi1aRGzs5d+sPvnkE7p3786QIUNqLCs9PR2g2m+0FeeqM3v2bPz8/KyPyMhIe19G6/TbbNj5eeV+u/5w+3yUcbM1C6klCQoKQq/Xk5GRYXM8IyPjstpDAZQX2u7v/q/tMGchRJ1l5JdQajTTMVA63NbE7oQlJiaGxMREtm7dyiOPPML06dM5cMB2/oXi4mK+/vrrWmtXGiIhIYHc3Fzr4/RpmbCKU1th3ZvWXWPEYHhgDcSMl34rdeTq6kr//v1ZvXq19ZjZbGb16tXV1iI6vfPJlx9z8Wj+OIRoBU6cs3wB6CQ1LDWyqw8LWP6oR0dHA9C/f3+2b9/OnDlz+Oijj6zXfPfddxQVFTFt2rRay6r41pqRkUF4eOUcDhkZGfTp06fG+9zc3HBzk9labez5xmbXcMu/NQqkZZs5cybTp09nwIABDBw4kHfffZfCwkLuvfderUNzPK7V9E3Ty6qyQtTHifOF6HUKkW2khqUmDR47ZTabKS0ttTn2ySefcNNNNxEcHFzrvZ06dSIsLMzmG21eXh5bt26Vb7T2Uk2V2ze9DwEdtIulBZs6dSpvv/02r7zyCn369CExMZHly5df1mwpgOEJtvsh0ulWiPo6ca6QyAAPXPQypLkmdv1kEhISWL9+PSkpKSQlJZGQkMDatWu58847rdccO3aM9evXM2PGjGrL6NatG4sWLQJAURT+9Kc/8be//Y3FixeTlJTEtGnTaNu2LTfffHP9X5UzCuhk3VSPrNAwkJbv8ccf5+TJk5SWlrJ161YGDRqkdUiOqU0UTKqsWbUZNSSEsMuJrEJpDroCu5qEMjMzmTZtGmlpafj5+REXF8eKFSsYPXq09ZpPP/2UiIgIxowZU20Zhw8fJje3coKp5557jsLCQh588EFycnK45pprWL58Oe7u7vV8SU4q6jpY/RoAatoepNeKaBbufpXbbTprF4cQLdyJrEKuiwnROgyHpqiqqmodREPl5eXh5+dHbm4uvr6+WoejjZSN8PkNlu0+d8LNH2obj3AOF07CnDjLdvt4uG+5tvEI0QIZTWa6vbycWTf14O7BztWcb8/ntzSWtRZVvumqZQUaBiKcSkAH8I2wbJ/dDaX52sYjRAtkVsGkqrjopG68NpKwtBYnN1k3laCuGgYinE7kVZZ/jSWQukPbWIRogVwNOsJ83Tl9oUjrUByaJCytgapi3FxlHZeet9R8rRCNza/KxI1f3WxpJhJC2CUywJPT2cVXvtCJScLSGhhLMeQcr9z3b69dLML5lF4yu+2cuMsXRhRC1CqijYfUsFyBJCytQW6q7b5Mjy6aU587Lz+2/u/NH4cQLZjUsFyZJCwtXepOzP8ebt1Vu4wB3/BabhCikUUOhOdPWkYJVcg6ol08QrRAkW08ySoopbjMdOWLnZQkLC2V2Qzfz4CPR6Arq6xRUca8rmFQwml5+MNd31fun6p5tXUhxOUiAyzrcKVKs1CN7F5LSGisKBs2vgOb3rv83MMbIVhGCAmNGC5Z+LAoGzzbaBOLEC1MxRpCqReK6RLqo3E0jkkSFkdWkInp0/Hos4/Vepk5dhK6Ua9YpkoXQivZyYACqJbkRe+qdURCtBihvu646BXpeFsLSVgc2eYPak1WzK4+6P7wCbquY5sxKCGqYSqH7+8HLk6cPfhhcKtmNWchRLX0OoV2/h6czpaEpSaSsDiq0gL4/d2az9/4T3Q9JoFHQLOFJESNFj0MaXss20FdYegz2sYjRAsU2UZGCtVGEhYHZV7ylG2P6Ec2w+GlkPiNZYXcitlFhdBazinY913l/uR/S+2KEPUQEeDJ3tQcrcNwWJKwOCjjmT1YewDMWA2hsZbHtc9qGZYQtkxGmF9lHhZ3P2jbV7t4hGjBItt4sHTvWa3DcFgyrNlB6QszADDrXCFigMbRCFGDQz9D+t7K/Xt/0S4WIVq4yABP8kqM5BaXax2KQ5KExREVZKIvzQHAWLESrhCOKOOA7f6Gd+D0Nm1iEaKFqxjaLB1vqycJiyPa84110zX2Rg0DEeIKooaB3q1yf9938Mlo2LNAu5iEaKEiZPK4WknC4mhSd8LKVyr3+9+jWShCXFHHa+CPO+GambbHM/ZpE48QLViglyseLnoZKVQDSVgcTeL/rJvmNp0hsLOGwQhRB/6RMGoWRF1XeazLGM3CEaKlUhSFSFm1uUaSsDgatXLhK901T2kYiBB2Or62cjusp2ZhCNGSWVZtloSlOpKwOJrkNZXbZQXaxSFEXakqvD/Q9lh5iTaxCNHCRbbxJPWCNAlVRxIWR6NW2Za1WERL8Pu7kHXY9phvuCahCNHSRQR4kHqhGFVVr3yxk5GJ47SmqnBkOWriNygHf7I95yYrdooWYNWrtvuPbNIkDCFag8g2nhSXm8gqKCPYx+3KNzgRSVi0lLYX04oX0aesR6nufOeRzR2REA2nlz+yQtRXZMDFuVguFEnCcglpEtJCUTbqz39C/eha9CnrLzuterSBuxeBV6AGwQlhp163Vm67eIJXkHaxCNHCdQi0JCzHzxVqHInjkRqW5pSbClvmYtz5JYayPOtho297DCP+DDHjwdULRe+iYZBC2GnIHyHpW8t2p2vBw1/TcIRoybzcDHQM9OTA2Tzor3U0jkUSluZgLIPtH2Nc8waG8nzrD91k8EI//HkMgx4Gg1T9iRbqfHLl9pHlkHkQQrprF48QLVyPdn4kncnROgyHI01CTS3rKOpbHWFFAobyfADMOhfMve9A/8QOuPpJSVZEy9auHxg8KvdXvKhdLEK0Av3bB7AnNZeSctOVL3YikrA0pb0L4f0BKOWVbZHmPneie/oQuklzwbethsEJ0UgCOsL0xZX7ZllpVoiGGBTVhjKjmT2nc7QOxaFIk1BTObUV9YcHbUf/TPsJXdXpy4VoLXzCKrc92mgXhxCtQLcwX3zcDWw7kc2gKBl8UUESloYwm2HDP1DP7kQtzkUXdyuE9oJTmzBunouh6ixwj2yC0B7axSpEUyrKrtwuzav5OiHEFel1Cld1bMO2lOwrX+xEJGFpiI3/gN/+hgKWmpRTlRNmVfxgjaG9MTywUvqpiNat6jISVZeXEELUS1yEH19sSkFVVRSl2pm6nI70YakPVYWN72L+7c1aLzO2G4ThzgWSrIjWL7y37f6prdrEIUQr0audHxeKyjmTI+sKVZAaFntlHIC58UBltqfq3VBu/QzS9sCFFPAJh243YIi4CiQzFs7AzQeirqtcsVkW7hSiQXq28wNg35lcIi7OfuvsJGGxg/r7v1BWvmxzzBw3Fd2Ef4GLO3S7QaPIhHAArt6V2wEdNQtDiNYg1NedYB83ks7kMq6nLCYKkrDUTd5ZeKf75ev9jHgJ3bXPahGREI4nP61y+9BSuPoJ7WIRohXo1c6PpDPSib2CJCx1YPr2fvRVD3gGweR/Q7QsTtjozGbYuwByT4PBHVw8bP81uIPexdIvSO9iWWhP7woGV8u/rt7g7qv1q3BO5iqTXK18GaJHQWisdvEI0cL1ifTnPxuOS8fbiyRhuZLkNehPV47+MYbGYbjnZ1kvpans/gp+rv83cxUd6rDn0A1PaMSgRJ1Ej4S0xMr9edfAtJ+g01DNQhKiJYsN9yW/xMi5/FJCfN21DkdzkrDUpvA8xu8etPkhGTpfB9v+ffHb/cVv9Tq9ZeSQaq7yb02Pi+d9wy0LxRk8QNFdfCgXH7rKB5fsW883QrZtNoPZWPm4NEYufS1VjsPF2JR6/EvlftVtRcF8cEmDhq4pmDEdXCoJixb6TYOtH1V2uFVN8MUEePmc5fdFCGGXipWbU84XScKCJCy1O7UJQ/E522Ob/qVNLNVQFR0qVT747aCoJpSqE9s5iIpkxegWgOGmf0J5CRiLK/81loHp4sNYevHfEksz0kWGoCi4cBJ824Fe/hdvNgEdYfrPkPg1bP/PxYMqJH0HfW7XMjIhWqTINpaE5eT5QgZ2khmk5a95bdrHYwzphSEzSetIqqWo5nqkKi2DLmoY9JhUt4sP/myTsHDgJzjwE2ZFj9G7Hfo2HdG36QABHcCvPXgHg1cIeIeAZ6Clhkw0jnb9LA9FsdREAiR9C13Hgqf8wRXCHu4uesL93Dl5vkjrUByCJCy18QrC8OhGMJVbRgrlp0F5sWXfVAam0ovb5Zc021RputHpLz9XVggn1kPhOVBVVMxgNqNWaXpRrU0wJtSqzU1mEyqq9ZzlX9X+JiJFQdG5gN6AojOATo+i06MoetApKFTTBFW1maoihhr/xWZfxWxpSarYrjivApgtrxHLvuIViG7kK3V/LebqVzTVqSZc809B/ik4Wf2tqqLD6NYG1TMQxdXD8jPR6UFnsPw8dAYUd28Uz0DLGjkeAZYPXpvtAHD3l9qcqvLTK7eTV8Pcq+Hx7eDmXfM9QojLtG/jyclsSVhAEpa60btYvp0HdGi8MntOtm4ql/zbGik1bDeK7jfBHQvh3GFLM1FJDuqFkxizU1AupGAoz685LtWMS0kWlGQ1OAyjqy9mj0AMwdHo/NqBi5dldJOHvyWp8QiwTXQUHZQXWZLgskLLozTf8tAbLNf6trVMRNjSRj6dvmSm2/yzliTGLVqbeIRooToGenEwXYY2gyQsojXQ6SxNDl3HWg8pgLWbZ/EFS5+WnJOWmrKCTCjMxFyQiSkvEwoy0ZVcQG9q2BTYhrI8KMuD3BMNKqc6RhdvzJ5B6LyC0fsEo3gFg1cweAVZ/vUJt6yY7BMGrl6N/vx28wqBggzbYzKZnBB2ax/oyfL96Ve+0AlIwiJav4rajbZ9bA7ruGQxrYqmN7PJ0txWMXqqtACKsiyJT1G25V/rdjbmovOYCi+gFp1HX5iJ3tj41beG8gLILYDclCtea3TxxuwVis43HINfOHiHWhIaz0DQGSwJnqIDRV+lyVJve9zanFmxXcM91nNV79HBVffBkqcqg+p9hzSZiUaTVVDKusPnMF9sflat/7lIsXxpURQFXZXBiZWnKw9U15peMeeJTc1wlZ2K+22PXe7SYQ2qeul59bLzFa/JrKqoKpzJKSa3uJycojL8PV2reRbnIX9BhMPq2LEjJ09e3vnk0Ucf5YMPPiA9PZ1nn32WlStXkp+fT0xMDC+++CK33HKLzfVLly7lL3/5C3v37sXd3Z1hw4bx448/Ws9XNyHTN998w2233WbZ8QhgbWIyM2c+w/79+4mMjOSll17innueAyxJz1uzZ/PDDz9w6FABHu5uDOnfi7eef5iY9sFQnHMxycm2bBdloxadB+C7HRm8/O1eUjLz6dIukLcevoHrhw20JEqF5yA/DVPuGUy5Z9EVZVlqca7AUF4AOQWQk1ynn3Nz2O5xNZl706wfHpYPEsuHiU5Xua1XFBRFQa+zvCdGs9naTavij7u1ixRc7Ptk+4FV9bqarq384KhybcWRS56r8njlh0vFpqKAXqdg0CkYdDp0OjCZwWRWMZlVjGYzZlXFaLLsm9SLx02q5bi5ct9kNlv2VRWTqco5s+WcqlqeS3fxZ2N5far1g818Me6KDz3rvxdjN5st583q5R+cFa/lsmNXuEa55IrLzl98r22SB0CnKJhUldPZRaReKCYmzAdvN4PN/ws65ZJtXeWxr7bU0CmtlfJy1WM0O96ozuYmCYtwWNu3b8dkquxQu2/fPkaPHs2tt94KwLRp08jJyWHx4sUEBQXx9ddfM2XKFHbs2EHfvn0B+P7773nggQd44403GDFiBEajkX379l32XJ999hnjxo2z7vv7+1u3T5w4wQ033MDDDz/M//73P1avXs2MGTMIDw9n7FhLM9S6det47LHHuOqqqzAajfz5z39mzD3PceDAAby8Lm+iUYBNmzZx+/RrmT17NjfeeCNff/01N7/8Frt2zaRnz57Wa/UXH4BlWHfReUsyU3gOCrOgMNPSPyQ/HVNeGqa8NPQFGeiNhfX7wTey+cbreGGtP7BL61A0p9cp6C9++LrodOj1lv2KpEevv5j4KGDQ6SzH9ZYPaUUB88WERqGi5sByXHcxKai4znrM+m/F+aoJRGVclyZ3Vdkkapedo8ZzFfdWJIAVCVPFc+l00CHQi0FRgRxJz6eg1GhNskzmyoTL8qiybYboEG/6RPoze3IvazJUNVeyJmlVaixqU/nabZPiqq/LJjm+9PVfcr9NNNUkcTb7l8RSkZRVfR91VZJ4Z6aoah3ezYvmzp3L3LlzSUlJAaBHjx688sorjB8/3nrN5s2befHFF9m6dSt6vZ4+ffqwYsUKPDw8qi3z1Vdf5bXXXrM5FhMTw6FDh+r8IvLy8vDz8yM3Nxdf3xbWOVHU2Z/+9CeWLFnC0aNHURQFb29v5s6dy9133229JjAwkLfeeosZM2ZgNBrp2LEjr732Gvfff3+N5SqKwqJFi7j55purPf/888+zdOlSm0TntttuIycnh+XLl1d7z7lz5wgJCWHdunVce+211V4zdepUCgsLWbJkifXY4MGD6dOnD/PmzavtR1E3pfmQnwEFlmSG4gtVmrzMF5u9KrZrOV61mcxmW7Vuq6oZ1WyyTEaomizbgLHLeIy976r8pn/xQ8tktuybzZUfKhUfUqYqtQYGne0f6sp5Byur7K3HUKpsY92oWn1v7eBe5QOu6v1V5zK80rWKUhm38WKNiFlVrUmJJflQKvd1ikyvLsQl7Pn8tquGJSIigjfffJMuXbqgqipffPEFEydOZPfu3fTo0YPNmzczbtw4EhISeO+99zAYDOzZswedrva5S3v06MGqVasqgzJIxY+wVVZWxn//+19mzpxp/aM/ZMgQFixYwA033IC/vz8LFy6kpKSE6667DoBdu3Zx5swZdDodffv2JT09nT59+vD3v//dpgYD4LHHHmPGjBlERUXx8MMPc++991qfZ/PmzYwaNcrm+rFjx/KnP/2pxnhzc3MBaNOm5rlHNm/ezMyZMy8rt2pzVYO4+VgeQU0/Mqem6Qv1gFuTP7sQwhnYlRlMmDDBZv/1119n7ty5bNmyhR49evDUU0/xxBNP8MILL1iviYmJuXIQBgNhYWH2hCKczI8//khOTg733HOP9djChQuZOnUqgYGBGAwGPD09WbRoEdHRlg/o48ePA5ZavHfeeYeOHTvyj3/8g+uuu44jR45Yk4m//OUvjBgxAk9PT3799VceffRRCgoKeOIJy5pG6enphIaG2sQTGhpKXl4excXFl9Uems1m/vSnP3H11VdflhhVVVO56ekyIkAIIS5V72VbTCYT8+fPp7CwkPj4eDIzM9m6dSshISEMGTKE0NBQhg0bxsaNG69Y1tGjR2nbti1RUVHceeednDp1qtbrS0tLycvLs3mI1u2TTz5h/PjxtG3b1nrs5ZdfJicnh1WrVrFjxw5mzpzJlClTSEqyzExsNlsmqKvoiNu/f38+++wzFEXh22+/tSnn6quvpm/fvjz//PM899xz/P3vf693rI899hj79u1j/vz59S5DCCGELbsTlqSkJLy9vXFzc+Phhx9m0aJFxMbG2nybfeCBB1i+fDn9+vVj5MiRHD16tMbyBg0axOeff87y5cuZO3cuJ06cYOjQoeTn1zzZ1+zZs/Hz87M+IiMj7X0ZogU5efIkq1atYsaMGdZjycnJvP/++3z66aeMHDmS3r17M2vWLAYMGMAHH3wAQHh4OACxsbHW+9zc3IiKiqo1KR40aBCpqamUlpYCEBYWRkaG7ZwiGRkZ+Pr6Xla78vjjj7NkyRJ+++03IiIian1dNZUrtY1CCHE5uxOWmJgYEhMT2bp1K4888gjTp0/nwIED1m+zDz30EPfeey99+/bln//8JzExMXz66ac1ljd+/HhuvfVW4uLiGDt2LMuWLSMnJ4eFCxfWeE9CQgK5ubnWx+nTp+19GaIF+eyzzwgJCeGGG26wHisqssx1cmn/KL1eb/1/sX///ri5uXH48GHr+fLyclJSUujQoeZZixMTEwkICMDNzdL7Ij4+ntWrV9tcs3LlSuLj4637qqry+OOPs2jRItasWUOnTp2u+LrqUq4QQoiL1AYaOXKk+uCDD6rHjx9XAfWrr76yOT9lyhT1jjvusKvMAQMGqC+88EKdr8/NzVUBNTc3167nEY7PZDKp7du3V59//nmb42VlZWp0dLQ6dOhQdevWreqxY8fUt99+W1UURV26dKn1uieffFJt166dumLFCvXQoUPq/fffr4aEhKjZ2dmqqqrq4sWL1f/85z9qUlKSevToUfXDDz9UPT091VdeecVaxvHjx1VPT0/12WefVQ8ePKh+8MEHql6vV5cvX2695pFHHlH9/PzUtWvXqmlpadZHUVGR9Zq7777b5v/r33//XTUYDOrbb7+tHjx4UJ01a5bq4uKiJiUlNfrPUQghHJE9n98NTliGDx+uTp8+XTWbzWrbtm3Vl156yeZ8nz591ISEhDqXl5+frwYEBKhz5syp8z2SsLReK1asUAH18OHDl507cuSIOnnyZDUkJET19PRU4+Li1C+//NLmmrKyMvXpp59WQ0JCVB8fH3XUqFHqvn37rOd/+eUXtU+fPqq3t7fq5eWl9u7dW503b55qMplsyvntt9/UPn36qK6urmpUVJT62Wef2Zzn4tQPlz6qXjds2DB1+vTpNvctXLhQ7dq1q+rq6qr26NHDJtkSQojWzp7Pb7vmYUlISGD8+PG0b9+e/Px8vv76a9566y1WrFjB6NGjeffdd5k1axaffPIJffr04YsvvuDtt99m3759dO7cGYCRI0cyadIkHn/8cQCeeeYZJkyYQIcOHTh79iyzZs0iMTGRAwcOEBwcXKe4ZB4WIYQQouVpsnlYMjMzmTZtGmlpafj5+REXF2dNVsAysVdJSQlPPfUU2dnZ9O7dm5UrV1qTFbB0lszKqlwZNzU1ldtvv53z588THBzMNddcw5YtW+qcrAghhBCi9bOrhsVRSQ2LEEII0fLY8/ld73lYhBBCCCGaiyQsQgghhHB4krAIIYQQwuFJwiKEEEIIh9cqlkWu6DcsawoJIYQQLUfF53Zdxv+0ioSlYt0hWVNICCGEaHny8/Px8/Or9ZpWMazZbDZz9uxZfHx8UBTFejwvL4/IyEhOnz4tw50dmLxPLYO8Ty2DvE8tg7xPFqqqkp+fT9u2bS9bG+5SraKGRafT1boyrq+vr1P/D9FSyPvUMsj71DLI+9QyyPvEFWtWKkinWyGEEEI4PElYhBBCCOHwWnXC4ubmxqxZs3Bzc9M6FFELeZ9aBnmfWgZ5n1oGeZ/s1yo63QohhBCidWvVNSxCCCGEaB0kYRFCCCGEw5OERQghhBAOTxIWIYQQQji8VpuwHDlyhIkTJxIUFISvry/XXHMNv/32W7XXnj9/noiICBRFIScnp3kDdXJXep/27NnD7bffTmRkJB4eHnTv3p05c+ZoGLFzqsvv06lTp7jhhhvw9PQkJCSEZ599FqPRqFHEzmft2rUoilLtY/v27dbrVqxYweDBg/Hx8SE4OJhbbrmFlJQU7QJ3MnV9n1RV5e2336Zr1664ubnRrl07Xn/9dQ0j116rTVhuvPFGjEYja9asYefOnfTu3Zsbb7yR9PT0y669//77iYuL0yBKcaX3aefOnYSEhPDf//6X/fv38+KLL5KQkMD777+vceTO5Urvk8lk4oYbbqCsrIxNmzbxxRdf8Pnnn/PKK69oHLnzGDJkCGlpaTaPGTNm0KlTJwYMGADAiRMnmDhxIiNGjCAxMZEVK1aQlZXF5MmTNY7eedTlfQJ48skn+fjjj3n77bc5dOgQixcvZuDAgRpG7gDUVujcuXMqoK5fv956LC8vTwXUlStX2lz74YcfqsOGDVNXr16tAuqFCxeaOVrnZc/7VNWjjz6qDh8+vDlCFGrd3qdly5apOp1OTU9Pt14zd+5c1dfXVy0tLW32mIWqlpWVqcHBwepf/vIX67Fvv/1WNRgMqslksh5bvHixqiiKWlZWpkWYTq+69+nAgQOqwWBQDx06pGFkjqdV1rAEBgYSExPDl19+SWFhIUajkY8++oiQkBD69+9vve7AgQP85S9/4csvv7ziokui8dX1fbpUbm4ubdq0acZInVtd3qfNmzfTq1cvQkNDrfeNHTuWvLw89u/fr1XoTm3x4sWcP3+ee++913qsf//+6HQ6PvvsM0wmE7m5uXz11VeMGjUKFxcXDaN1XtW9Tz///DNRUVEsWbKETp060bFjR2bMmEF2draGkToArTOmpnL69Gm1f//+qqIoql6vV8PDw9Vdu3ZZz5eUlKhxcXHqV199paqqqv72229Sw6KBK71Pl/r9999Vg8GgrlixohmjFFd6nx544AF1zJgxNvcUFhaqgLps2bLmDleoqjp+/Hh1/Pjxlx1fu3atGhISour1ehVQ4+Pj5e+ehqp7nx566CHVzc1NHTRokLp+/Xr1t99+U/v06eP0NcstqlrhhRdeqLGzUsXj0KFDqKrKY489RkhICBs2bGDbtm3cfPPNTJgwgbS0NAASEhLo3r07d911l8avqvVpzPepqn379jFx4kRmzZrFmDFjNHhlrUtTvU+icdX1faoqNTWVFStWcP/999scT09P54EHHmD69Ols376ddevW4erqyh/+8AdUmfS8QRrzfTKbzZSWlvLll18ydOhQrrvuOj755BN+++03Dh8+3Jwvy6G0qKn5z507x/nz52u9Jioqig0bNjBmzBguXLhgs2x3ly5duP/++3nhhRfo06cPSUlJKIoCWHpkm81m9Ho9L774Iq+99lqTvpbWrDHfpwoHDhxg+PDhzJgxw+l7yjeWxnyfXnnlFRYvXkxiYqL1/IkTJ4iKimLXrl307du3qV5Gq1fX98nV1dW6/9e//pX33nuPM2fO2DT1vPzyyyxfvtxmNEpqaiqRkZFs3ryZwYMHN/4LcBKN+T7NmjWLN954g/Lycuux4uJiPD09+fXXXxk9enTjv4AWwKB1APYIDg4mODj4itcVFRUBXNYvRafTYTabAfj+++8pLi62ntu+fTv33XcfGzZsoHPnzo0YtfNpzPcJYP/+/YwYMYLp06dLstKIGvN9io+P5/XXXyczM5OQkBAAVq5cia+vL7GxsY0cuXOp6/tUQVVVPvvsM6ZNm3ZZv5SioqLL3ke9Xg9g8zsn7NeY79PVV1+N0WgkOTnZ+nl05MgRADp06NB4Qbc0mjVGNaFz586pgYGB6uTJk9XExET18OHD6jPPPKO6uLioiYmJ1d4jfViaX13ep6SkJDU4OFi966671LS0NOsjMzNT4+idR13eJ6PRqPbs2VMdM2aMmpiYqC5fvlwNDg5WExISNI7e+axatUoF1IMHD152bvXq1aqiKOprr72mHjlyRN25c6c6duxYtUOHDmpRUZEG0Tqv2t4nk8mk9uvXT7322mvVXbt2qTt27FAHDRqkjh49WoNIHUerTFhUVVW3b9+ujhkzRm3Tpo3q4+OjDh48uNbOf5KwaONK79OsWbNU4LJHhw4dtAvaCdXl9yklJUUdP3686uHhoQYFBalPP/20Wl5erlHEzuv2229XhwwZUuP5b775Ru3bt6/q5eWlBgcHqzfddFO1H5qiaV3pfTpz5ow6efJk1dvbWw0NDVXvuece9fz5880YoeNpUX1YhBBCCOGcWtQoISGEEEI4J0lYhBBCCOHwJGERQgghhMOThEUIIYQQDk8SFiGEEEI4PElYhBBCCOHwJGERQgghhMOThEUIIYQQDk8SFiGEEEI4PElYhBBCCOHwJGERQgghhMOThEUIIYQQDu//ARv9eZvBiTWtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 8631393.0 we ignore 786502.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 357 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 10 rather than original 11\n",
      "Each district will be drawn to house 784489.1 = 1/ 10 of non-cutout state pop 7844891.0 vs original= 8631393.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "working on county 100\n",
      "working on county 120\n",
      "here is the VA map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 8 #11  #reduce for TX\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 5 #7 #reduce for TX\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "51c64983-b9cf-4a16-8fc5-9905fe4ba375",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For VA, let's zoom in on each quadrant's county pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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sDBMTE/T19ZkyZQrbtm2jfv36+Pn5YWxszPvvv09ubi45OTm8++67qNVqEhISStS3RqPh7bffpk2bNjRs2LD466+//jpr1qzh6NGjzJkzh9WrVzNy5Mhn9jVv3jzMzc2LX66urqW9VUEQhFdavXr1mDJlCh07duT48eNs2bKlROdFRETQunVrvLy8aN68OdevX3+sTXR0NAEBAZibm+Pr61viY8uXL8fX17f4ZWNjw8CBA1/0Fp8rPTWLG5GXMZCbY2JqgqmVAb2n+9B5bH1ib6ax7tNQboUmiJIAL6FSJ0h16tTh8uXLnDlzhqlTpzJmzBhu3LiBra0tmzZtYteuXZiYmGBubk56ejpNmjQpca2MadOmFZev/6dJkybRrVs3GjVqxIgRI1i1ahXbtm0jKirqqX3NmTOHjIyM4ldsbGxpb1UQBOGVJ5fLi39hLenmrpMnT2bSpEncvn2b999/n8DAwMfamJmZ8cUXX7Bu3bpSHRs7diyXL18ufjk4ODBixIjS3VQp7N0ShFLKwtby75V7MpmMOi0deH1uS9zqW3NkxU12/XKFzJS8CotDqHylTpD09PTw9PSkadOmzJs3Dx8fH37++WcAunbtSlRUFMnJyaSkpLB69Wru37+Ph4fHc/udPn06u3fv5ujRo7i4uDyzbcuWLQGIjIx8aht9ff3i1XZ/vQRBEITS++sXzB49ejy3bXJyMufPny8e5R80aBCxsbGP/by2srLC398fY2Pjx/p41rF/OnPmDMnJyfTt27ekt1Iqudl5RMSGAeDu7vbYcUNTPbqOb0Cvad6kJeSw/rMzXDkSi0YjRpNeBmUuFKnRaFAqlY98zcamaOJaUFDQc795JUlixowZbNu2jeDgYGrWrPnca16+fBngpa7FIQiCUBXk5eVx7NgxrKyssLCweG772NhYHB0d0dEp+niRyWS4ubkRExODp6dnuca2bNmyCitaueq3rdxJvgpyGNT7dRo183pqW/dGNjh9YkHojjuc3BzB7XNJdBxVF2tnk3KPS6g8pUqQ5syZQ48ePXBzcyMrK4t169YRHBzMgQMHgKJnw/Xq1cPW1paQkBDeeustZs6cSZ06dYr76NSpEwMGDGD69OlA0WO1devWsWPHDkxNTUlMTATA3NwcQ0NDoqKiWLduHT179sTa2pqrV68yc+ZM2rVrh7e3d3n9PQiCIAj/olKp2LBhA3l5eYwbNw6ZTKbtkIrl5OSwYcMGQkNDy7/vrFzuPLiKLsY08/F7ZnL0Fz0DHdoN9aJ2M3uOrr7Jxi/P0aR7DZr2qIGOrqLcYxQqXqkSpOTkZEaPHk1CQgLm5uZ4e3tz4MABunTpAkB4eDhz5swhNTUVd3d3PvzwQ2bOnPlIH1FRUaSkpBS/X7hwIVBUDPKfli9fTmBgIHp6ehw+fJiffvqJnJwcXF1dGTRoEB999NGL3K8gCIJQAkqlkj///JO4uDhGjx6Nra1tic5zdXUlISEBlUqFjo4OkiQRExODm9vjj6jKYtOmTTRo0ID69euXa78AqxZvBMCnQVO6DWhbqnMda5kz9MMWXNgfzYX994i6mEzAyLo4eVqUe5xCxZJJr8jU+8zMTMzNzcnIyBDzkQRBEJ4hNzeXNWvWkJKSwvDhw0s09eGfAgICCAwMJDAwkM2bNzN//nzOnz//xLbBwcG8/fbbxVMnoGgV3JgxY4iNjeXhw4ecO3eOBg0aPHJe27Zt8fDwKN4GpGPHjixYsABdXV1CQkKYOnUqUDSx3N/fn//973/FZWjCwsKYMWNG8U4PX375ZfFKuEXfryIx6w4A7783G0OjFy+O+TA+m6Orb5F0N5OG7ZxpNaAWeoZiC9TS0tbnt0iQBEEQhGL5+fksXbqUrKwsxowZg5OTU6n7CA8PJzAwkIcPH2JmZsby5ctp1KgREyZMoG/fvvTt25fc3Fy8vLxQKpVkZGRgZ2fHqFGjmDdvHu3bt+fq1avo6OiQlpaGXC7nnXfeYd68ecX9N2nSBAMjE/zeWUrz+jXZ/+M7DOrTk/4jxnEmIoHevq5YmBii0WgYNGgQ7dq1Y+bMmeTm5tKwYUNWrVqFv78/arWa1NRUbG1t2bMpiHPXjwNQ16UZwyb0LvPfp0Yjce1YHCHb76BvqEP71+tQ01sUmCwNbX1+i1RWEARBAIpGW1asWEFKSgoTJkx4oeQIisrBhISEPPb1pUuXFv/ZyMiIuLi4x9okJydz6dIlUlNTix/ROTo6Mn78+Ef6H/fme6zYH4pSz4zDN5O5a9OKj39Ywm/JRRPBQ2Ky+e31JhQUFJCXl1c8f2rdunX4+fnh7+8PgEKhKH58GHnnNgC6GqNySY4A5HIZ3h1cqeljS/DacPYuuIpnUzvaDvXCyEyvXK4hVIwXrqQtCIIgvFwkSUKlKtpnbOnSpZw5c6bSY3jWKrh/WnnwPDpmdmyc3IqT73dkwzt9MVWl83bn2gDsOHGZGrXrY2Njg7m5OW+88QYAN27cQF9fn969e+Pr68vo0aN58OABGrWGtLyiRUK1atQt9/sqKjDpTZdx9YkLT2Pd3FBunhYFJqsykSAJgiAIQFGdu+nTp9OzZ08A0tPTtRvQU+QW/L1ZrJVx0SiMvZkBhnoK3u7sxZkPOjE4oAmyQd/S4qNNJKdns3XrVqBoZd7hw4dZvHgxly5dwtnZmalTp6L+xzYqXXq3r5C4ZTIZXi2KCkzWaGRN0Kqb7Pz5MhkPRIHJqkgkSIIgCMIjatSoAUBaWhoPHz6s1FGOf66CA564Ci4k6iEKM1ta2P6d1ERHRxe3sTcz4Mehvswb2Ig76RqynJqzdu1aANzc3OjQoQPOzs7IZDJGjhxJaGgouro6mOnaYyS3xNrevELv0dBEjy5jG9B7hg/pybls+OwMlw7FoFG/mnvdVVUiQRIEQRAeYW9vT//+/YmIiOCXX37h9OnTlZYk2dnZ0aRJE9asWQPAli1bcHFxeaTIZFpuIUZ12hB0YC9L9l9AkiQWLVrEsGHDgKJdFg5fu8+Xe25Sx9YQh7Sw4rp5Q4YM4dy5c8UbmO/duxcfHx+S4h+iUhWQq06nQFmyLVXKqkYDa4b/tyX1/Z04vTWSLd9cICUuq1KuLTyfWMUmCIIgPFFaWhqbNm0iPj6e2rVrM2zYMBSKii96WJJVcLeTsmg15gOky9uxNNYjICCARYsWoaury2ff/swX3/yIiaEu9iZ6dOnciW+++QYDg6Il+6tXr+brr79GLpfj7OzMkiVLWL3sTwrIpkXDAHq+FlDh9/hviXcyOLrmFumJuTTu6kazXu6iwOT/E8v8K5hIkARBEEpPpVLxzTffUFBQwLRp00pcMLKiXY5Np/9vp9g0pRXN3a2Kv55boCJw+TkSM/I58k57dBXPf1Cy6Y99XI85AxLMnj0HA0P9igz9qdQqDRcP3OP83mjMbAzpMLIOTrUttRJLVaKtz2/xiE0QBEF4jEajITw8nD/++AOVSsWAAQOqTHIEEHQzCTMDHRq7WhR/LbdAxahlZ7l2P4PvBvuUKDkCipIjwMu5sdaSIwCFjpzmvWoy9MMWGBjrsu37Sxxdewtlnur5JwvlTiRIgiAIwiPS09NZtGgR69evRy6XM2LECHx8fLQdVrFjtx/wv6BIOta1Q+cfSdAvQZFcu5/B2gktaVHT6hk9/O2fD1H8AhoTERFB69at8fLyonnz5ly/fv2J5y1btozatWtTq1YtJk6cSGFh0byl6OhoAgICMDc3x9fX95FzNBoN7777Lg0bNqRu3bqMHz+egoKCx/q2cjJm4LtNaDfMi4izSaybG8qdSw9KdD9C+REJkiAIglAsPz+fDRs2UFBQwNixY5kwYQK1atXSdliP0Px/UjO0+d8r22JTc1l28i6T29eisVvJH0uFX40GQF9ugoeXG5MnT2bSpEncvn2b999/n8DAwMfOuXv3Lh9//DEnTpwgMjKSpKQklixZAoCZmRlffPEF69ate+y8ZcuWcfHiRS5evMjNmzeRy+X8/PPPT4xLJpfRKMCF4Z+0xM7NlH2Lw9i3OIycDGWJ700oG5EgCYIgCMX27NnDw4cPGTZsWPFy/6qmubsVugoZH20PY3VINGk5BXy66zqWRrpMae9R4n5ysvLYuOlPACZMHEdycjLnz59n5MiRAAwaNIjY2FgiIyMfOW/z5s307dsXBwcHZDIZU6ZMYf369QBYWVnh7++PsbHxY9e7cuUKnTt3Rk9PD5lMRo8ePVi9evUzYzS1MqDnG950ndCAhMh01s09w42T8aLAZCUQCZIgCIIAFG01Eh4ejp+fHw4ODtoO56lM9HX4I7A5tqb6fLzjOo0/P8TR8Ad80b8RRnol30FLmadCo5OPvmSGraNViat4x8TEPJI8uru7P9bmSZo2bcrOnTvJzMyksLCQjRs3Eh0d/dzzZDIZtZvZ8/pcPzx8bTi65hY7frxExoPcEt+rUHoiQRIEQRBQq9Xs2LEDjUZTpeYbPU3b2rZsmNSKAY2dAfh5mC9d6tuXqo/tG/YC4NesbbnH9ySBgYF0796d9u3b0759e7y8vIqTsZIwMNal05j6dJvYkPu30zm9NaoCoxVEgiQIgvCKUyqVrFu3jhs3bjBgwABsbKrPbvNzetYl6J329PYu+ca6kiSxbUUQMak3qe3kQ0DvZkDJqnhDUTXue/fuFb//ZxXvZ5HJZMydO5dLly5x+vRp6tevT4MGDUocN8CDmCxObY5A30iHFn1qlupcoXREgiQIgvAKy87OZsWKFcTGxjJy5MhSf2Brm52pAR62JqU6J3jvWa5EHwdg+IR+yGSyor5KUMUbiuYm7dy5k8TExMeqeD9Lfn4+aWlpAKSkpDB//nzee++9EscdHZbCxnnn0DfSZehHLbB2Kt19C6VT8rE9QRAEodpTq9VFu9drNBw+fJg7d+5gYmLCuHHjqvS8o/LkUsMBzoGpwh65/NFxgsWLFxMYGMhXX31VXMUbeKSKt4eHB59++ilt2rQBICAggMmTJwOQm5uLl5cXSqWSjIwMXFxcGDVqFPPmzSMjI4OAgADkcjkajYa33nqLPn36lChmjUYiZFsUjrXM6fdWYxS6YnyjoolK2oIgCK8ASZK4ceMGBw4cKN6HzMbGBm9vb3x8fDA3L78NWgtyM9HRN0ZeCduSvIjYqASWrV6MnmTCB5++q+1wSuT2uUQOLbvBoPea4uBRsZvpVjXa+vwWI0iCIAgvOaVSyfr164mOjsbLy4suXbqgVqtp2LBhqSYJp8dcR2dFdzKtfbAd/ye6Bn8vZc9PTyQr4jSFiTdxuvANGTIzGLsPc7eGFXFLL0ySJP5Y+TvIwdjIVNvhlIhGreHsrru4N7J+5ZIjbRIJkiAIwkssOzubDRs28ODBA0aMGEHt2rVL3Udmcgxpu+dikHAOC00mJg9OkPp1A/KaT0N15xQ2KWcwJheDf5xjLmUStfcrzKc8XjBRW7Kzcjh28AySXAMSTHtnvLZDKpHke1lkJOfRcXQ9bYfyShEJkiAIwksqIyODlStXUlBQwOjRo3F2di7V+aq8TFIv70Xv4HvYS3mk6LujRk6cdVssUy/hfPYLMmWmJDt3Qc/CEUXdHuREX0SnIJMaYT9SK3EPCed24ti8bwXdYcldPH2dPft3opYrQYJenQaVavRMm66fjMfAWBf7mmJ6SGWqHt8dgiAIQqlER0ezbds2JEli3LhxWFmVbG+yvyRdPoD99iHYAakKOzTjD+LiVBeVMpca+kaoVSqykqIwcfDE7J9zjRoFkHBhL4QVvTVx8iq/m3pBWRk57DmwCx2FHv16DMTUwpiaXi7aDuuZ1IUa0pJyeHg/h1unE2j/eh0UJdx8VygfIkESBEF4yajVavbu3UtWVhbTp08vdXKkLsjDYnvRdhu3zdvhPHoxRtZFdYZ09I0AUOjoYOpc54nnm7n7cl/fC2flbdLXjMNoVjAKXb0y3NGLU6nUrFq8CbUsn24BPfFu8eSYq5KMB7ns+OkyWQ/zAXDwMKe+f8nrPAnlQyRIgiAILxGNRsO+fftISUlh8ODBpU6OJI2G5B/a4UgBcV2X4tV6cOmur1aRsm8+NZS3AXDIC0eZmYyRtXZGbDb8sZ0HudH41m5Ni/beWomhNNRqDQeX3UAmgwHvNMHYQg8TKwPkcpm2Q3vliARJEAThJXH9+vXiZfy9e/emXr3STeqV1Cpi936PW/5t7lm0okYpkyOAtFsnqBG5EoD7Rg2wHLdBa8lRQUEhd+7fws6kBv1HdNVKDKV1dtddUmKyGPifpmLOkZaJBEkQBKGaU6lU7Nyxg6thYXh6ejJs2DCcnEr5SEaSuLdoGO4PDpGk64ZR22mljiMvNR7dzaOL3xsM+g0jm+dvwVFR1q/aiEZWSMfOAVqLoTTiwtO4eOAefv08RHJUBYgESRAEoTrLSSFr2Wv0SL2BJzWxsBmJtal+qbu591M33DPOcN+gDs6zz75QKHKZDBMpq/i9gZn1C/VTXu7GRQBQx9ddq3GUxN2rKQSvuYWzlwVNutbQdjgCYi82QRCE6isrEVb1wyI/hjR7f5x00nEL/Qj5917EfdeWezvnk/vwfom6MsqNA0Bn0KIXDkff0pGcyedJ1nUFwPi3RuQ9jHvh/sriXlQ8AC3qdyjea60qkjQSJzdFsHfBVSwdjegyrgEyMd+oShAjSIIgCNVRZgKsGQgZ95EF7sbJsWgCcvqdS6SFrMbo3hFcLs5Dc3E+8Qa1KajVDes2ozF9wrL7nJQ4dNT5SICppW2ZwjJ19ER/Vih8XVRzSf5LE+4HfINzQGCZ+i2tY4dOItPo0L5Hy0q9bmk8iMnixJ+3SbiTQduhXjQKcK7SydyrRiRIgiAI1U38JVjVH3QMYMIhsP176bqFR2MsPBoDkJ0QQcqpVehFHcT1+m8orv9Ckm4Ncmt0xKLVKCxrNQUgNzMVW81DYh174GrjWubw9AxNiKo3nVo3f0UfJY7BbxOXlYhNu/EYmJctASsJZYGSwzl7cbL0QN9It8KvV1opcdlc3B9NxIVkrByN6fd2Y1zqWGo7LOFfxGa1giAI1UncBVjRsygpGrkVjG1KdFpeWgIPTq5GHr4H++xr6KLiocKeTOf2OMbuxkDK5a5dN2q+sbH8YpUkItfPxvN20WO7OLMmuMw6Wn79P8WS4CX8cu8XAKwK7OljN5DxHUZgaab9fcwexmez5esLGJrq0riLG/X9nZCLApDPpK3Pb/F/RRAEoToxtABdI8iIg3NLQaMu2WmWjrj1eQ+Xd48hvRtJXJt55Jh64BizEwMpFwDXCavLN1aZDBMTk+K3Jn2/Lt/+nyAkIoRFdxfhIffgR5/fcNWpyaq0xXTe3Jm31szh+t3bFR7Dv2nUGtISczi5MYKNX57DxFKfoR+1oGF7F5EcVWGlGkFauHAhCxcuJDo6GoAGDRrw3//+lx49egAQFRXFu+++y8mTJ1EqlXTv3p1ffvkFe3v7Z/b722+/8e2335KYmIiPjw+//PILLVq0KD6en5/PO++8w4YNG1AqlXTr1o0FCxY8t99/EiNIgiC8NB7chhPfw9UN4NYa+v8GVh4v1JW6IJ8Hl/dhXtsPQ0vHcg4UMuIjMV9S9ChP+m8aMnn5JQRZeVlM2jYJa31renj2IDs/m9+u/4YcOVuHbsXKuKhIZlT8PRafWM7R7P3kK3Kpp/ZlVINR9GrRCfk/4lEqC4iIieZG3G3upN7F26MePRt3fuH4CvJV7FsURtytNAB0DRQ06VYDn06u6OopnnO28BdtfX6XKkHatWsXCoWC2rVrI0kSK1eu5Ntvv+XSpUu4u7vj7e2Nj48Pn376KQAff/wx8fHxhIaGPvJN+E9//vkno0ePZtGiRbRs2ZKffvqJTZs2ER4ejp2dHQBTp05lz549rFixAnNzc6ZPn45cLufUqVMlvlGRIAmC8FKRJFjSHhKuQOsZ0PULbUf0RLH7fsT1zFzSdR2x+PDWY8fzCvN4kPmAlOwUHuY8JDUnldS8VNLz0slQZpBZkEl2YTbZqmxy1bnkSXnkk48SJWr546NnCo2CH/x+oGO9jo8dy8rNZkXwn2y7v4kHevexKXDCx6gpifmJJKnvk6abjFquAkAmyZFkGnylVnzZbS5ujqWrKyVJEgeXXufOlQf4dHDFrYEVtm6mVXJOVFVXLRKkJ7GysuLbb7/F1dWVHj16kJaWVnwDGRkZWFpacvDgQTp3fnIW3rJlS5o3b86vv/4KFJXJd3V1ZcaMGcyePZuMjAxsbW1Zt24dr732GgC3bt2iXr16hISE4OfnV6I4RYIkCMJLQ5Lg6Jdw/Fto+w60nw062tnr7HnyMxIIWtKEU4aGXNfzIF9PhzwpjzzyKJAVoJY9+RGhXJKjp9HDAAMMZYYYyY0wVhhjomuCqZ4p5vrmWBhY4GDmQNf6XbmVcAsLIwscLRwxM3z2z3iNRsO+80dZHbaGOCkaW5kDzgau1LRwp7Z9Leq7euFm5czywxtZnPAzhYp8vvD6jn6tupXongvyVJzZdYerQXF0m9gQz6Z2pf57E/6mrc/vF17Fplar2bRpEzk5ObRq1YqoqChkMhn6+n8XKDMwMEAul3Py5MknJkgFBQVcuHCBOXPmFH9NLpfTuXNnQkJCALhw4QKFhYWPnF+3bl3c3NyemSAplUqUSmXx+8zMzBe9VUEQhKqjMB+2ToCbuyBgDgTM1nZETxQbc4rQ29u5GL6F3XY21FJqQEcPG12roiRH1xQzPTPMDcyxNLTE0tASK2MrbExssDW1xdzY/KlPHp6kZa2SL+eXy+X0atGJXi06PbPd5B4j8Y9uwbBjg/jo9rtkKDMZHfD07VcexGRxYV80sTdTUaskWg2oJZKjaqzUCVJYWBitWrUiPz8fExMTtm3bRv369bG1tcXY2Jj333+fr776CkmSmD17Nmq1moSEhCf2lZKSglqtfmwukb29PbduFQ3FJiYmoqenh4WFxWNtEhMTnxrnvHnzih/1CYIgvBTUKtgyHiIPw5DVUL+vtiN6qs+DZxEi5YKJMV+ZNKLPmHXaDumFNHD34oh5MDO3zubbe59xYtUJvn/tK8yMTB5pd+34fU5svI2ZtSH12jjh29kNE8vSVzQXqo5Sz5arU6cOly9f5syZM0ydOpUxY8Zw48YNbG1t2bRpE7t27cLExARzc3PS09Np0qRJqX4LKC9z5swhIyOj+BUbG1vpMQiCIJSrPbPg9n4YsqpKJ0cAo+uMAMBNUtC9/wrtBlNGdpbWrB67mMk2MzmvOkWfdQMIuXmh+HjinQyOrQvH1tWUYR+1wH9wbZEcvQRKnbno6enh6elJ06ZNmTdvHj4+Pvz8888AdO3alaioKJKTk0lJSWH16tXcv38fD48nr66wsbFBoVCQlJT0yNeTkpJwcHAAwMHBgYKCAtLT05/a5kn09fUxMzN75CUIglClZSVB/GVQFTx+LHwfXFwJvX8Er5LNhdGmFr5jGabnSIxMzYg1rUhMuqbtkMpELpczvdc4lrddja6ky5TQCXy94xfiI9PZ/esVHGuZ02uaNwpdsWz/ZVHm/5MajeaRuT5QlPhYWFgQFBREcnIyffs++TcdPT09mjZtypEjRx7p78iRI7Rq1QqApk2boqur+0ib8PBwYmJiitsIgiBUe6GL4Id6RSvTTnwPyuy/j6VFw8bR4NIcfEdoLcSSWrhrDE03tCaiMJMZpvW5SQF7zn6v7bDKhW/t+uwctYUA3e6sSV/C1J3TsXQyotc0bwxNquZEeeHFlGoO0pw5c+jRowdubm5kZWWxbt06goODOXDgAADLly+nXr162NraEhISwltvvcXMmTOpU+fvMvidOnViwIABTJ8+HYBZs2YxZswYmjVrRosWLfjpp5/Iyclh7NixAJibmzN+/HhmzZqFlZUVZmZmzJgxg1atWpV4BZsgCEKVVpADQZ9Dw0Fw9zgcmw+nfoI3L4OxLWx/A2QKGLwS5FW/fk5BfgYAEapMLmTdQC5J9G/9gZajKj+6ejr4NfMm6MxuFFZqerzWSCzffwmVKkFKTk5m9OjRJCQkYG5ujre3NwcOHKBLly5A0cjOnDlzSE1Nxd3dnQ8//JCZM2c+0kdUVBQpKSnF74cOHcqDBw/473//S2JiIr6+vuzfv/+Rids//vgjcrmcQYMGPVIoUhAEoVqLCYVzyyDpWlFF7A4fgM8wCNsMV9bBwlZFq9bUShi+AcydtR1xiYzo/AMrdvRljHkDMlU5NHRojrV1bW2HVW5+u/Qby64tY7DXYGa3mI2eQowcvYzEXmyCIAjakBkPi9sVjR6ZORclRw0H/n382lbYPBb0TGDsPnD01l6sL+CdVa2J1uSxJfCStkMpV2n5aXTb0o3Gdo1Z3GWxtsN5JVS7OkiCIAhCGQTPB2Qw/fyTR4YaDoQabUBTCOYulR5eWenrmyHLytB2GOWqQF3Ae8ffA+DzNp9rORqhookESRAEobIlXoOrf4L/zGc/NjMt+X6TVYmkVrMr/z7oyun4R0OMgPq6FlwvTOcX/6/x8Oql7RBL7XbabT4L+YwrD64wr+087IxEAciXnViPKAiCUJky4mDt4KJRoTZvaTuaClGoKcBWA74YMMTKh6bGrlxXZRKjkDH91Bwyc5IBiIiIoHXr1nh5edG8eXOuX7/+xP6WLVtG7dq1qVWrFhMnTqSwsBCA4OBgDA0N8fX1LX7l5eUBEBQURIsWLahfvz4NGjTgvffeQ6PRvND9pOenM/7AeGKzYpnYaCK9PXq/UD9C9SJGkARBEMqLurBotdnTiuOqVbBlAsjkMGY36BpWbnyVRE/XkKCxYY99feOOMXyefpG4mJPUrzeQyZMnM2nSJAIDA9m8eTOBgYGcO3fukXPu3r3Lxx9/zMWLF7G3t6dfv34sWbKEadOmAX8XL/43S0tLNmzYgIeHB/n5+XTu3JlVq1YRGBhYqnuJzYxl4ZWFZBdkc2jwIWwMbUp1vlB9iREkQRCEsirMg6gg+NwGgj57chuNBva/D7FnYNBSMHOs3Bi1rCA/g2UPzxOgsKB+vYEkJydz/vx5Ro4cCcCgQYOIjY0lMjLykfM2b95M3759cXBwQCaTMWXKFNavX//c6zVu3Li4SLGBgQG+vr5ER0eXKFZJkth/dz8TDkyg57ae7I/ez2SfySI5esWIESRBEIQXdfcEnPwB7p0GVX7R1/5Z4BGgIBfiLxW1izwCfX6CGq9ekdvgkG+JV8j5zb8ogYyNjcXR0REdnaKPIZlMhpubGzExMXh6ehafFxMTQ40aNYrfu7u7ExMTU/w+KiqKJk2aoFAoGDt2LG+88cZj105MTGTz5s3s3r27RLEuv76cHy/8SD2renzb7lvaubTDSNfohe5bqL5EgiQIgvAiIo/A+mFg3xA6fgy2dWHtIKjV4e82adGwsg+kx4BCD15bVlQM8hVSqMpnzeFZLE44TiOFIZ7uHZ5/Ugk1adKEuLg4zM3NiYuLo2fPntjY2DBkyJDiNpmZmfTp04f33nuPZs2aPbfPfFU+K6+vpEfNHnzT7ptyi1WofkSCJAiCUFpRR2HdUHBuCmN2gY4exJ0vOmbmBA+j4MwiuLGz6GvjDoJ1LTB+9R7R/LqyLSsVeQw1cOKNnkuLv+7q6kpCQgIqlQodHR0kSSImJgY3N7dHzndzcyMqKqr4fXR0dHGbf9bEcXFxYfjw4Zw4caI4QcrKyqJ79+7069ePWbNmPTdWlUbFe8ffI0+Vx5gGY8p030L1J+YgCYIglIa6sGiitZE1jNpalBxB0WgRwO2DsKAVnF1SNDdpzC5wa/lKJkcxd4JYpchjilUT5gw/iLn538mPnZ0dTZo0Yc2aNQBs2bIFFxeXRx6vQdHcpJ07d5KYmIgkSSxatIhhw4YBkJCQULwyLSsri927d9O4cWMAsrOz6d69O927d+ejjz4qUby/XPqF43HH+a79dzSwblDm+xeqNzGCJAiCUBqX10FuCvRfCHrGf3/d2Lbov8FfQZPR0P1r0NGvFnunVZQ1Z7/FTILAbr898fjixYsJDAzkq6++wszMjOXLlwMwYcIE+vbtS9++ffHw8ODTTz+lTZs2AAQEBDB58mSgKKlauHAhOjo6qFQqBg8eXLyP588//8zZs2fJyclh69atAAwePJgPP/zwqfGGp4ajltRkKDMoUBeILURecWKrEUEQhJKIv1S0R9r55UWTrEdsBpns7+MqJeyYXvQorf37jx57ioiICMaMGUNKSgrm5uasWLGCBg0eH7lYtmwZ8+fPR6PR0LFjRxYsWICuri7BwcH06NHjkQ3BQ0JCMDQsKh8QFhbGjBkzSEpKAuDLL79k4MCBj/VfEc5dWMSEsF+ZZtWUSX1XVso1y+pW6i3G7R9HVmEWAFdHX0VWgv+PQsUSW40IgiBURdGn4NIauLoB9E2h+bgnJ0A6+jDo91J1XZF1gHJzc+nXrx+rVq3C398ftVpNampqqeJ7UdF3g3n3yi80Uxgzvmfp/k60ydPCk1H1R7HgStFm6Eq1EgMdAy1HJWiLmIMkCILwNCd/hBW9IP4itHsP3o2Erl8UJUplVNF1gNatW4efnx/+/v4AKBQKbG1tyxx3SSwP/ZJUhRxzPTMUOlX7MVVKXgo7o3ay+sZqXtv5WnFy5G7mLpKjV5wYQRIEQXiSqCA4PBfavgsdPnx6dewXVNF1gG7cuIG+vj69e/cmLi4Ob29vvv/++0pJkgY3GsfWC1+Rq6x6m9VKkkRwbDAKuQK5TM5/T/2XB3kP0FfoU6gpxM/RjwWdF6Ar19V2qIKWiQRJEATh3xLDYPs0cGoMHT8q0XwibXhWHSCVSsXhw4cJDQ3FycmJDz74gKlTp7J58+YKj2v4ha8AeKfp85fWV5YCdQGH7x1mc8RmziX+/RjTQGHA8m7Laebw/BpJwqtFJEiCIAj/VJgPm8cXPUYbsKTCkqOKrgPk5uZGhw4dcHZ2BmDkyJF069atQu7lL5IksXrfVAD0ZHJqNxpeodcrqdzCXCYcnEBYShhN7JrwQcsP6ODaAY2kwULfQlTJFp5IzEESBEH4p9O/QOodGLwCbL0q7DIVXQdoyJAhnDt3jszMTAD27t2Lj49Phd1PSsotpq1uzbcPTjHKuBbnRl6ssGuV1i/nviAsJYwP3Z34vdP3DK87HAdjB5xMnERyJDyVGEESBEH4S2ZC0cTs5hPAvn6FX64i6wC5ubnxwQcf0Lp1a+RyOc7OzixZsqRC7iPi3jGmBk2nAInfvEbSrs3sCrlOae268Su/XllKfIEafZmEtSqS7OxwrKxevaKdQumJOkiCIFQZqTkFWBrpaq/2zPrX4e4xmHEBTB20E0M1c+duEKOD38RWkrGw+3IcnLQ/lyc69Soj944kQ1308fZW/d50qjmY++EzUCiMadpkPXp61lqOUigpbX1+i0dsgiBonUYj8cmOazT94hATV10gJVtZ+UHEX4LwPdDzO5EcldDNiD2MPToDW0nOin5bq0RyBHD63nYy1BL9HWqwrstPTGg+j5o2TfD1+YP8/Dhu3pqDRqOF7zGhWhEJkiAIWnc/PY+VIfdo4W7FpZg0uv14nMM3kiovAEmCI5+BVS1oNLjyrluN3bl3nIkn38cJXf4YuANz69raDgmAU3c38/XVjbga6DGr7RIaOXUqPmZiUgdPz9mkpBzh/PnBaDSFWoxUqOpEgiQIgtaFRD0EYEpALfa/3Q5fVwsmrDrPnK1XyVGqKj6AGzuK6h51/RwUYmrm8yQnX2PKkWnYSjIW99+KpUVNbYcEwMHwpUw5/ikaZGwbdBxLI6fH2ri6jMa70UKysq8TH79RC1EK1YVIkARB0CqNRuLXo5H08nakQx07bE31WTqmGfMGNmLH5Xh6/HyCC/fSKi4AZRbsnwNePaBur4q7zkviQfJ1puwZgQaJhT1WYmbloe2QAIhNC+M/oT/hqq/DOw36oa9j/NS2trZdsbPrSfjt/xJ6pjvxCZuRJHUlRitUByJBEgRBq46GJxOTmsuIFn/X/5HJZAxv4cbeN9tibaLH4EWn+f5gOIVqTfkHEDwf8tKgx9fl3/dLJurmAUbvGkqGpGZx+x9xcGyi7ZCKXbgfhAYZP3T4H4HNvnhu+/r1vsPRcTA5ORHcvPk+x443ISrqOzSaShixFKoFsYpNEAStuB6fwZQ1F4hNzcPTzoTdM/wx0FU81k6l1rAwOIqfj0RQz9GMH4f64GlX9r3QAIg5A8t7FFXLblt1qj5XOZJE/L4fuB72I7McLNHRKKijW5c+Hn0Y0HQARvrarSX0adBotsdeRIWMs8NPYqhnXuJzJUkiI+MCUXd+ID39LNbW7XBzHY+VVZsKjFgoDW19fosESRCESidJEsN/D+VKbAZfDWxIz0aO6Os8nhz909W4dN7+8zL30/L4oGc9RvnVQC4vQzmAzARY3Basa8PoHVDFN1XVFk1BHsnLXschKYhos5Zk9f6UjeF7OZ5ynFR5KvpqfXwMfBhQZwDdvLuhq1v5e5g1W+WNUpKY6hXAG61+eeF+kpL2EBE5D6UyATvbHtSu/QEGBo/PYxIql0iQKphIkASh6ggOTyZw+Tne7OjJrK51SnxeXoGa+ftusjLkHm1r2/Dtaz44mL/AjuvqQlg9oGjPtRkXwFgUDnwSZVoCmUt6Y5l3l4h6b1J3yCfFNaokSeLMnTNsuLqB0PRQcuQ5mKhMaGzcmACPAIa0GFIpMT7MuU+Hzd14q14Pxrf4tsz9SZKG8Nuf8uDBAdTqHOrU+RxHh/5lD1R4YSJBqmAiQRKEqmN16D0+3n6Nq3O7YmZQ+hGHY7cf8J9NV1CqNHw1oBG9vB1LfrIkwe634dJaGLUNarYt9fVfBekxN1CtGoCRKoPkzr/g7v/08gcqtYoj4UfYeH0jV7KvoJQrGWg9kE97f1rhcW4N+45PLq5kZ69V1LRpXG79qlRZhJ7pgVKZgIN9P0xM62Fo4IqtbVdkMjF9tzKJQpGCILzU8gvV5BeqkSQJZaEamaxoROhFtPey5cDb7Wjjac20dReZ+edlMvJKWNPm8jq4sAJ6/yiSo6fIiL6KYnlX9DR55A3d/MzkCEBHoUO3+t1YNngZZ8ecpaNxR7ambOWj3R+RmZdZobEGxZ5CTybhalm3XPvV0THFybHovhOTdhAZOZ+wa9MICe2CUlmJNboErREjSIIgVKi8AjWf7b7OhnOxSBLo68hRqjT08nbkt9fLtgpKkiS2XbrPJzuuY2qgw/dDfGlV6xlbSKTHwq/NoV4fGLgEtLWlSRWW+SAO9cJ2yJBQTDiIqVPpC0AWFBbw7vZ3OZp7FIVGQSPdRrR3bc/g5oMxNyr5BOpnUalV/HByMmuizzDEuS4fdd5cLv3+kyRJFBY+JCPjMsbGtQgJ7QxA61bHMDR0KffrCU8mHrFVMJEgCYJ2vLn+EvuvJzItwBMXS0PS8wrR15EzoLEzxvrlU5QxLi2XdzZe4Wx0KhP8a/JO1zqPr4iTJFg3BBKuwozzoF9OK+FeInlJd8hZ0gNTdRr5Yw5gXrNsj6wu3r3IqkuruJBxgXR5OgqNAhvJBns9e95q9RYtarV44b6Xnv8vP1/fhr+VAz9024qhXsX//ww6WgdJUtHK7whGRu4Vfj2hiEiQKphIkARBO0YuPcPtpCyOv9fhicv4y4tGI7H05B2+O3AbD1tjfhzqSz3Hf/xbv7gKds6A1zeBV9cKi6O6ehhxDp31g5FJKtRD12NZt3wfP16JucK2a9u4lX6Le/n3UMqU7O67Gyfrkq8SK1DlkaVM4VzMDj47v5iaxmasHXiqXON8lqSk3Vy7/hYArVsdx9DQudKu/SrT1ue3qKkvCEKF8rQz4WRkCtfjM2haw6rCriOXy5jUrhZta9sy88/L9Pv1FO909WJCWw8UuSlw8GPweV0kR0+QdiMYo41DyVeYoBm5A2sPn3K/ho+bDz5uRf2uPbeW+TfmczPp5nMTJKUqn9yCND4/NpnjD+6i/P9f6WsbGfNdlzXlHuezmJs3Lf6zRpNXqdcWKl+pJmkvXLgQb29vzMzMMDMzo1WrVuzbt6/4eGJiIqNGjcLBwQFjY2OaNGnCli1bntmnu7s7Mpnssde0adOK2wQEBDx2fMqUKaW8VUEQKptKrWHH5fs0dDYrv+KOz1HP0Ywd09sQ2Mad+ftvMfz3UHJ3vAMyOXR9foXlV82D2+fQ2/Q6mTrWGEw/WSHJ0b/FpcUB4Gbt9tQ2kiSx8vxHtF3fnHabuhL84A4DXZswx3soP7X+D5sGncLRtHL3gNPVLZo/ZW7WGGNjz0q9tlD5SjWC5OLiwvz586ldu3bRN+/KlfTr149Lly7RoEEDRo8eTXp6Ojt37sTGxoZ169YxZMgQzp8/T+PGT36Wfe7cOdTqv1eyXLt2jS5dujB48KOrJiZOnMhnn31W/N7ISLuVWwVBeL7bSdmk5Rbyv+GNMTesvAKC+joKPuhZjw517Fj95zqMEnYQ49wLVyMrxLTsv6WFn8Z4/UAKFMaYTNqHoWUpyiWUwZjmY9iybQuTD41AkhdgqNDB27IGNgoV9sZOxBeo2RgdQoEELSys8XP0w9+tO/UcAiolvqdJStoNQK1a/9FqHELlKPMcJCsrK7799lvGjx+PiYkJCxcuZNSoUcXHra2t+frrr5kwYUKJ+nv77bfZvXs3ERERxQXJAgIC8PX15aeffnrhOMUcJEGoXNfuZzBj/SUKVBqOvNO+QucfPUtmRioPFvWjVt5VTpj1osHYX7GyrLhHfdXFw9tn0Fv/Gkq5EcZvHMHQuvJWZUmSxLdbB7Mt9xatbNxRS2rOPowjTyOh/v8U1s/SFm+bhkxsPg8D3advPFuZoqK+I/reQqytO2Bt5Y+ra6C2Q3olVLs5SGq1mk2bNpGTk0OrVq0AaN26NX/++Se9evXCwsKCjRs3kp+fT0BAQIn6LCgoYM2aNcyaNas4OfrL2rVrWbNmDQ4ODvTp04ePP/74maNISqUSpVJZ/D4zs2JrcQiC8LcTEQ8Yv/I8nrYmLBvTTGvJEYCZuRVm7x3n6s6faXbpK1J+bkV0l//RpE03rcWkTepCJdFbPsH51h/ky03QH7ezUpOjkJAfyMxaQlPLQlrbD8ffv+ixp1qdh0ZTwJnYfZjqW+Pj3KXSYiopN7eJpKaF8vDhUR4+PCoSpJdcqUeQwsLCaNWqFfn5+ZiYmLBu3Tp69uwJQHp6OkOHDuXgwYPo6OhgZGTEpk2b6Nq1ZJMiN27cyOuvv05MTAxOTn9P3FuyZAk1atTAycmJq1ev8v7779OiRQu2bt361L7mzp3Lp58+XsVVjCAJQsUqUGno+H0w1ib6rJ/YEiO9qrMWJOXeTdLXjqWm8hYnHEbTMvAbDA1fYKuSaig9Poq0K3sxvfAb1qoEYm07Yv/6b+hbVt5eYzk5Dzl1ug0FBQ5YWQ7Dz28Scnn1q1d8JMgTkAhofwOFQl/b4bz0qs0y/4KCAmJiYsjIyGDz5s0sXbqUY8eOUb9+fWbMmMHZs2f56quvsLGxYfv27fz444+cOHGCRo0aPbfvbt26oaenx65du57ZLigoiE6dOhEZGUmtWrWe2OZJI0iurq4iQRKECjZ7y1W2XrzPn5P9aOxmqe1wHiOpC7m8/hMaRizijsIdacBi6jZqru2wXljiuR2ojn5DoVs7rPzHYO7yeEXpB6dWY35oJnoUkqzriqzX99j6Vs4IWkZGPCGhswAVEIFCnkedOqtxc2tZKdevCCGhXcjNvUPdOl/g7Dxc2+G89KpNgvRvnTt3platWrz33nt4enpy7do1GjRo8MhxT09PFi1a9Mx+7t27h4eHB1u3bqVfv37PbJuTk4OJiQn79++nW7eS/SMXc5AEoeJFJGXR9afjfNK7PoFtKneFUWnFXjsN2yZiq0oitNZb+L8+Bx2dqjPaVVJJ83wxUyaihxIFGpL0apBbozOWbQKxcPfm4em1WB6cRoxhQ+xGLcXIsU6lVhA/enQ2KvUWlPnOgDXOzgNo3HhkpV2/IqRnXODChaLNeGvX/gg317FajujlVu3mIP1Fo9GgVCrJzc0FeGy4VKFQoNFontvP8uXLsbOzo1evXs9te/nyZQAcHStnxYUgCCXz9f5buFoa8XrLGtoO5blcG7am0PMM11bMJODOd1z++ghWI5bi5l59lm/H7/0eJ+Vd7jb/DMc2Q4k/uQr5rd24RqxAJ2IZCdhhw0PuGTTA6c0D6BtW/mTn3LxTyGSe9O697/mNqwlTk/rFf46I+EIkSC+pUj38nTNnDsePHyc6OpqwsDDmzJlDcHAwI0aMoG7dunh6ejJ58mTOnj1LVFQU33//PYcOHaJ///7FfXTq1Ilff/31kX41Gg3Lly9nzJgxj/0GFxUVxeeff86FCxeIjo5m586djB49mnbt2uHt7f3idy4IQrm6Hp/B4ZvJvNPVCz2d6jGvRNfAhMZTfiei2yqcVfcwW96Ok9sXUx02GEi+dgzrs/OJNmuJe883MbBwwLX3ezi/exz1rAhi/T4jFXNuUhvH6Xu1khwlJd9GXz8BY6MX23MvIiKC1q1b4+XlRfPmzbl+/foT2y1btozatWtTq1YtJk6cSGFh4XOPaTQa3n33XRo2bEjdunUZP348BQUFJYpLpcpELi+ae2Rn1wuNRvmcM4RqSSqFcePGSTVq1JD09PQkW1tbqVOnTtLBgweLj9++fVsaOHCgZGdnJxkZGUne3t7SqlWrHumjRo0a0ieffPLI1w4cOCABUnh4+GPXjImJkdq1aydZWVlJ+vr6kqenp/Sf//xHysjIKE3oUkZGhgSU+jxBEEpm3Zl7Uo33d0s5ykJth/JCstOSpSs/9JekT8yk01/3l5KTE7Qd0lOl3DwlZX3iKKV87iXlpT94ZtvCQu39/9izd5C0b399KS3t3gud36FDB2n58uWSJEnSpk2bpGbNmj3W5s6dO5Kjo6OUkJAgaTQaqU+fPtKvv/763GNLliyROnToICmVSkmj0UgTJkyQvvnmmxLHplYXSFfDZkiHj3hI586/JhUUiM+WiqKtz2+xF5sgCOVi+rqL3HmQw963yncPr0olSVw7sIwaoR+TgyGx7b6neccB2o7qERl3LqCzug/5ChOMphzG0Obp1ai1KSMjnrPn2qOnN4z27T4v9fnJycl4enqSmpqKjo4OkiTh6OjIyZMn8fT8+zHot99+S1RUVPE817179/LVV19x8uTJZx6bPn06Tk5OfPDBBwBs3bqVuXPncvXq1VLFmZoWwtWrkzAy8sDOtgf29n3EHm3lTFuf39VjHFwQhCotPj2P/dcSGdikmn8wyGQ07D4B1aRTpBm40fx4IMf/N4GsrKpRRy0v+Q6sGUi+zAj9iQerbHIEcOnSj8jlGoyMXF7okWVsbCyOjo7F0y5kMhlubm7ExMQ80i4mJoYaNf6e8+bu7l7c5lnHmjZtys6dO8nMzKSwsJCNGzcSHR1d6jitLFvRsOEv6OlZE31vASGhHbl4cQTJyfuRpOfPvxWqruq3ZEMQhCrnRnwmKo1EOy9bbYdSLiydPLB47wiXNn9Ny+s/EP9DKDG9F9KgqfZGxzSFSrL+GISBRo1izE5M7N21FktJWFg0IiHxAJmZ33DgwB66d9+p7ZAeERgYyL1792jfvj2GhoZ07tyZgwcPvlBfNtYB2FgHoFJlkZC4nfj4Pwm7Ng1dXSscHPqTkxOBRlNAYWEGOTFOhB/Iwb5WbZAkjMzMsXJ2pXm/Qcjl2iuoKjxOjCAJglBmDZ2LNvHcdum+liMpPzK5gsZDPiB1xCFQ6OK1sx/Hls2moKDw+SdXgHvLJ2KdH01m9/9hUbPiN5QtK1/f0XTregkdxXB09a5z/fq2Up3v6upKQkICKpUKKNqeJCYmBje3R0fN3NzcuHfvXvH76Ojo4jbPOiaTyZg7dy6XLl3i9OnT1K9f/5ESNS9CR8cUV5dRtGi+k8aN12Bv34f799eSmnqC9PQz5OTcAusg8rIzAFDo6nLjxFFObljFhT07ynRtofyJBEkQhDJzMDfgjYBaLAyOIuhWkrbDKVeOXo1xez+Uq26j8Y9ZROTXbbkbca1SY4g6+Ds143cQ5zUWF7+BlXrtspDLFbRt+xkFSkvuxawr1bl2dnY0adKENWvWALBlyxZcXFwemX8EMGjQIHbu3EliYiKSJLFo0SKGDRv23GP5+fmkpaUBkJKSwvz583nvvffKessAyGRyrCxbUcfrvzTx3gJ5RTXB8lNscbP4lbfX7GDQnE/p/5+PeefP3Zha2xK6ZT1qlXaSb+HJRIIkCEK5GN6i6DfzrHyVliMpfwpdfZqO/4l7fTdjoUnDdk0nTvz5Axp1xc8xyU9Pwv70JySaNMRt2LcVfr3ylpWVBDIlknTv+Y3/ZfHixSxevBgvLy/mz5/P8uXLAZgwYQI7dxY9svPw8ODTTz+lTZs2eHp6Ymtry+TJk597LCMjg9atW9OgQQPatm3LlClT6NOnTzndddGI15WQ7zhzpj8qWQwG+cPoPvAktZv0QPGvcjZuDb0pyMvjpxEDuHrkQLnFIJSNWMUmCEK52HA2hjnbwrjySVfMDHS1HU6Fyc9O58aK6TRJ2cUFAz9cRi/B3qniCmPe/X00Lvf3kD8pBFMnrwq7TkWQJIn9B1qjq/sAS4s5NG06XtshVYqUxDAunpmGwvQ+BQ/cad72V2yc6j21/d1L59k6fy4APae/Q722HSop0upBrGITBKHayswvZEFwFG1q2bzUyRGAgYkFTaav4Ub7xbjn30J/SWvO7/4dKuB3zfSYG7je381999eqXXIEkJf3EB2dFGQyCTu75+/HWd2pVQWEHv4Pl64ORCN/gJXO23QfcviZyRHAlcNFVcbH//w7NRs358G9u5URrvAcIkESBKFUJEkiPj2P9NwC1JqipOBURAoxqbl83Lv+c85+edTvMAyd6aFEmTan2fl3ufR9PzJTEsr1Guk7P6IAPZwGfVWu/VYWIyMbnJ1+ACD5wRUtR1Ox4qKOcmh3a7JlW5EyG+Hf9iiN281AVoJ97xw96wCw/dvP+W38MFa9N4N7YZcrOGLheUSCJAhCicWm5vLmhsu0nh+E72eHaDM/iOnrLjJ17UV05DJq2Vb+dhbaZG7jSNN3tnOu+fe4Z1+k8NeWhB1eWy59Z90PxyUlmKRaQ9AztX5u+7JuyxESEoKvry++vr40aNCAyZMno1SWfQuN1LQbALi5ti9zX1WRMj+LY7sDuXV3AhIFuFl9TdfXtmJi4VDiPpr1GYj/sNEYmZnTsEMX9I2M2f/bDyj/f49TQTvEHCRBEEokv1BNq3lHSMstZHgLN1rWtGLftQTi0/MJqGNLj4aO1Hd6df9tJcXf4/7qyTTJC+GCeVdqj12AmcWL14WKWTgE26RgZG9fw8DC7rntO3bsyOjRowkMDGTz5s18/fXXnDt37pE2d+/epU2bNly8eBF7e3v69etHt27dmDZtGrm5uejq6qKrq4tGo2HQoEG0a9eOmTNnvvA9AMTFXST89mCQetGp0//K1FdVc/vyBu7EfInCMA/dvABadf0RfQPTMvebmZLMillvUNe/PV0nzSiHSKs3MQdJEIQq7c9zsaTlFrJjWhvmDWxE/8bOLB7VjF0z/Hmna51XOjkCsHeqQeP/7CXE+0tqp59E+VMLrgdvfqG+Mu+F4Zx0iPiag0uUHCUnJ3P+/HlGjhwJFC1vj42NJTIy8pF2mzdvpm/fvjg4OCCTyZgyZQrr168HwMjICF3dovljBQUF5OXllejx0PPk5z8EQK4wLHNfVUV2ejyHtvUjNvVDJJUh9Wr+QUDfpeWSHAGY2djRuEcfwo4cID2xfB/bCiUnEiRBEJ4rM7+Q7w+G07meHT6uFtoOp8qSyeW0Gjid7HEniNevSYPg8Zz9ZTQ5Weml6id163/IlxniMrBke5iVx7YcUFRI0cfHBxsbG8zNzXnjjTdKFfeTREQsJD/fjHZtvyxzX9omSRKXT/7IqVMdkQxvYKweSrd+p3HxbFeu18nLziLybAgARhYW5dq3UHIiQRIE4ZkkSWL6uksUqqVXahJ2WTjV8KTRe4cJrfchDVP2k/ZDS66fOVSic5Mv7cU9I4RU7ynom1pVcKSPcnd358qVKyQmJqJUKtm6dWuZ+ktNi0Whcx09PX8Uiuq9s1VKwnUObO3Iw4JfQelIU98d+HX5CnkF3Ffwyt9JjY/DuW4DZJR9FE94MSJBEgThmY7cTOb47Qf8+npjali/WpOwy0KukOM39D1SRx0hV8ecunsHc2LRm+Q8Z+Jt/uH5pMutcO77QYmvVR7bcvyTiYkJw4YNY+3aF5twHnbxKLt3DSPk9HBARovm5VOhWhvU6kJCDszm4pX+yAwSsDF4k64DgrB2qLhfFmo1bQHA/VvXObZ2eYVdR3g2kSAJgvBUaTkFzN56lba1behY9/lzYYTHuXg2otb7p7hU6w38EtYQPd+PEyePPbFt3I4vcMu5QnaLmaUamSiPbTkiIyOLV7QVFBSwbds2vL29S32/+7ceI/TCAgyNz2FgmIC19TuYm7uWup+qIPb2cQ5sa0Ou7iYUygb4tz2KT+u3ymVu1rN4+fkzdO58ACLPnubmiaNo1OoKvabwOJEgCYLwVN8dDEdZqOH7IT4V/qHwMlPo6NJs9Fdc6LoZXVS0ODSIkys/KR7xAchKiMLm0i9EmrXGqev0Ul+jrNtyBAUF0bhxY3x8fGjcuDH29vZ8/PHHJbq2JEnkZudzaPtJzlw5Ttr9tshy+wOQnXin2n24K/OyOLp9PLeix6HQz8PN5ks69duOsZljpcXgUq8hg+Z8Sk56Gnt//V4Uj9QCscxfEIQnSsjIo838IGb3qMukdrW0Hc5LozA/hysr36FZwnqu6TbC8vVl6D64jtG+GciQKBh7GEu36jPXS61W89NnS8mSFa22MpJbMvT1wdTwdCLk8PfkyBZCTjvad/8NXb2qv5IteONXZMvWYGCpRK+gPX6dfkZPv3xWp5VGZsoDdn7/JUl3ItHR1WPa8j/R0X25q9Q/jbY+v6v3rDlBECrM9fuZaCRoWfP5RQqFktM1MKbZ5EXcCumDzYE3cVhZNN8kQb8WxqPXY+lcR8sRls7+LcfIkiVgZeBCndp16TbIv/hYq87vcOW0E8mauQTtH4Z/h+UYV/LE85LKSksk5PAbyK2uID00wKvGYtxqd9ZaPFcO7SXpTiRthozEq5X/K5scaZN4xCYIwhMtP30XNysj6jhU/m/PrwKvlj14y3Ae61QdOKTTAdt3TmNWzZKj+/eSuXA9FEt9Z96cPeGR5OgvPq2H426/EJneHU4GD+Rh0r0n9KRdl47/yskTHZGZh2EiG0DPQZe0mhwBeLVsA8CVI/tJTxK1kLRBJEhCtafSSMTklX1LBOFvao3EldgM/DysMNBVaDucl9Ivu85wJs2Ye41m0mH2FnT0DLQdUqmkJmeyevlaZMDQ0QOe2ba2d0caeK0BeS7nLwwi7s6lygnyOTQaDUE7XydV9SMKyYYmPlvx6/QdCh09bYeGtWsNWg4YQvbDFC7t26XtcF5J4hGbUK1JksSs8Bg2JqbR0MSQgfaWDLC3wFFf+z/gqrOY1FyylSoau1lqO5SXUk5+AYvPJONtITFnaPXbo+zGhSi27tiMWlbIoH5DcHC2ee45zh4+GJps5lxoIDcjRpGT9QN1fLpWQrRPplYVELRzEHKLGxgW9qFV3x+r1EKELV99TNzN69jVrEXHcVO0Hc4rSYwgCdXa1qQ0Niam8Zq9Je6Genx9N4Emp2/w2qVI1iU8JFNVvVbPVAWFag3f7L+FjYkeAxo7azucl9IP20PJ0yj474DG2g7lhezduw+5XM74sRNo2MSrxOdZ2bnRtsNWpPzaxD6YzsWTKyswyqcryM/m0PYeyMxuYK4YR+tuP1Wp5KhQmU/cjWt4NmvJqPk/Y+ngpO2QXkkiQRKqtd0PMqhnbMCv9WuwtGFNwto05Pu6RTVX3rkVS6NT15hw7S77HqSj1Gi0HG318EtQJIduJPFx7/ri8VoFUKs1bLmWSiMLFc3q1Hj+CVWQWqNGgR4u7iXfsf4vRqYWdOi5AVlee9IKPuPkgfloKvHfZk5mAkf2dkZhfg9703dp1v7DSrt2SenqG9CkR18iz4VyaMmv1a5MwstCJEhCtfVH3AP2pWQw0P7vx0BmOgped7Rmc2NPLrSqz/s1HYnOK2DstWh8Tl3nP+GxhKRno3k1qluUWo5SxZLjUYz0q0E/XzF6VBG2h9wgXaXLWP/qWzrB3MSCfE0mL1olRldXnw69FqOvGoFS93eO7pqJ6v+LVFaktAcRnDjaA7lhKu5282jUcmqFX/NFBYyZSKdxU7kadIArh/ZqO5xXkkiQhGrreFoWAJNdbZ943MlAjzfc7DjcvA7BLeow2smao6mZDLgUSfOQG3wZFc/FjBwKxMgSABqNxH82XyG/UEPLmlVzKfbLYNv5e5jLC+jXuoG2Q3lh5hYWSHI14VejX7gPuVyOf9fPsND7D5LJHo7sHklWenL5BfkvyXGXOBMyAJlCSX3PxdT2GVxh1yoPMpkM3269qOnblMjzZ7QdzitJJEhCtXQzO4/9KZnIAFUJfomta2zIB7WcOOtXn+2NPelkbcbq+If0vBhBvZPXeO1SJEcfvvhvxC+DX4Ii2RuWyJwedenaoPSPToTnkySJq8kFNHbURy6vvj9+Tc1MAMhKe/a+ciXR1H8KrtY/IDO8welTvUmMvV7mPv8tNuIol64MB8DXZx2utTuU+zUqikfj5sSEXWbP/75FVVCg7XBeKWIVm1AtbUtKw1xHwapGNTFSlPyDRi6T4Wdhgp+FCV/UduZaVh6n0rPZ+yCD4Vfv4GtqxNs17OlqY4a8Ck3arGjZShULgiOZ3M6Dye2r76Ofqu7GvUQyNXq087LXdiilkhSXwokjZ4mKvk2+OhtJrsLKwAkfv5JP0H6WOr59sUpoyIXzgVy9PoLCgt9xrdW8XPqOCttGVNz7aAqN8WuzCUtbz+efVIX4dOlB1IUz3Dp1jLgbYYz46kdMrETx1spQfX+FEV5ZOSo1C2KTaWpmREsLkxfuR08up4m5MTNq2LO3aW02+tRCXy4j8Npd3r8dV44RV21KlZpZf15GkmBUq6o7aTgiIoLWrVvj5eVF8+bNuX798ZGG6OhoAgICMDc3x9fX97Hjy5Yto3bt2tSqVYuJEycWb866fPlyfH19i182NjYMHDiw3O9h46lbyJDo3aJ8EovKcHzveRYvWcy1O+fQ0zWglnN9mtVrx7T/jEfPoPyqO9s6etCqzSY0SntuRQZy52ZQmfu8fm45d+LfQ5NvQdsOe6pdcgQgk8vp/95/6fvOB+RnZ3Pkj4XaDumVIRIkodq5ryxEJcHYEtReKSmZTEY7K1N2NKnNhx6OrI5/yNaktHLrv6qSJIm3N1wmOPwBi0Y1wcXSSNshPdXkyZOZNGkSt2/f5v333ycwMPCxNmZmZnzxxResW7fusWN3797l448/5sSJE0RGRpKUlMSSJUsAGDt2LJcvXy5+OTg4MGLEiHK/h0O306lrpsLOsnpUJ8/OzOXomX3o6xoxcdwUZn4whZGTB9J7aEcUivJf4WhuZU+7jn+izqtNVNxUbl7c9sJ9XTz+LfHpX6LOcSKg+0FMzKvvUnmFjg61W7Smw9jJRJ4L5fqxI9oO6ZUgEiSh2vlrltCfiakV0v9UVzv62Fow81YMO5PTK+QaVcX6s7Hsu5bIz8N86Vi36j72SU5O5vz584wcORKAQYMGERsbS2Rk5CPtrKys8Pf3x9jY+LE+Nm/eTN++fXFwcEAmkzFlyhTWr1//WLszZ86QnJxM3759y/Uedpy+TrxSj8FNXcu134q0afUOJCRGjBqOc43K+f4wMrWgQ7f1aLKbcz/1Pc4fX8C1M38QtHMEB/bW4VzQ52g0qqeeL0kSpw/OIk21CLJr07nPAQwMLSol9orWsENnGnboyv4FP/JL4GCOr1shSgBUIDEHSah2EpRFExV72VpUSP86chm/1HNjyo1oJl2PxkBek6425hVyLW3KL1Tz7YFbdKlvT49GjtoO55liY2NxdHRER6foR5ZMJsPNzY2YmBg8PUv22CQmJoYaNf5+hOju7k5MTMxj7ZYtW8aoUaPQLcfNQVVqDd8disBaRyKwS9UtDhl7J4EDu4Lw9fXl9KkQUgvi8HJs8kL1jspC39CQTn2Wc2zvm2TIvydDBWpdOWh0yGQFR4NXoMmqTac+e1Dm5mJoUjQip9GoOL5vDGrDUGRZrejUdwVyxcvzMSeXK+g6eQY1fZuQEHmb87u2Env9Ks516tG872sYW4jK9+VJjCAJ1U5oeg4AFTmF2kAhZ3nDmnSwMuXjiPvkq1++UgAfbb9GjlLNf7pVrw1SK1JOTg4bNmxg/Pjx5drvL7vOEJuny5yuHlV69dr6NZuIS4tg99FNpCnjad24I8Mm9tZKLDo6unTo/RtpYSO5F/QfHp77ktZtjiJleKNMdkNuGsHRYC9Ohfpy6GBtjmwdQ9CeXqj0Q9HPH0CHvqvLPTkqyTw4ePpcN4CwsDACAgKoV68e9erVY+vWrUDJ58HJZDK8/PxpP3IcA9//hPSkRC7s2cHpTWvL9V6FUiZICxcuxNvbGzMzM8zMzGjVqhX79u0rPp6YmMioUaNwcHDA2NiYJk2asGXLlmf2OXfuXGQy2SOvunXrPtImPz+fadOmYW1tjYmJCYMGDSIpKak0oQsvkZnu9vS3s2D6zXvczM6rsOvIZDI+r+1MvLKQhbEVV59FG+LT89hyMY53u3nhZV/158O4urqSkJCASlX0aEWSJGJiYnBzcytxH25ubty79/dO8tHR0Y+dv2nTJho0aED9+vXLJ3DgckQsv4am4Gup4rV2PuXWb0XoEBBQ9AcJhr42kq792iEvxSrR8iaXy3ntrU9xdK7Bw/tWbP7qFG27b6DH0CCsdd+lMNMSWXZTCjLMwOIkkl4U5rIp+Pf8rkK2DinJPLhnzXXLzc2lX79+fPHFF9y8eZNr167Rtm1b4MXmwbn7NuWN39fS9vVArh45QNQFUS+pPJXqO9/FxYX58+dz4cIFzp8/T8eOHenXr19xFj169GjCw8PZuXMnYWFhDBw4kCFDhnDp0rN3bm7QoAEJCQnFr5MnTz5yfObMmezatYtNmzZx7Ngx4uPjK2SFiVD1PSxQkVaoprO1GSoJNiVW7ERqTyMDJrrY8r97ScTmvzw1SLZduo++jpzhLUqeYGiTnZ0dTZo0Yc2aNQBs2bIFFxeXEj9eg6J5Szt37iQxMRFJkli0aBHDhg17pM2yZcvKdfRIrVbzzvpz6Ms1LHtDexuzltTlS2EAdGrTm7qNPLQczd96TO2Bb0ddcjJMWDl7D1kPs/BtO5Xu/c/Tqf9GOnTfg7lsAk18dtK8038qJIaSzoN71ly3devW4efnh7+/PwAKhQJb28cL3ZZmHpxMJqN5n4F4NvNjz8/f8uDe3bLeqvD/SpUg9enTh549e1K7dm28vLz48ssvMTExITQ0FIDTp08zY8YMWrRogYeHBx999BEWFhZcuHDhmf3q6Ojg4OBQ/LKx+Xt1UkZGBsuWLeOHH36gY8eONG3alOXLl3P69Oni6wqvhmyVmtZnbuJ7+jrTb8bgb2FCoHPF1wOZ5W6PmY6CTyPvV/i1KsvWi3H4ulpgWo7LtCva4sWLWbx4MV5eXsyfP5/ly5cDMGHCBHbu3AkU/Ybu4uLC4MGDuXHjBi4uLsyZMwcADw8PPv30U9q0aYOnpye2trZMnjy5uP/w8HAuX77M0KFDyy3m49eiicrVR6mRceDcTdRVfEJtUmocBnJT2nZtpu1QHuM/tD1tB9tQkK/P2v8eJTn671FdI1MHmnWYg7VD+Y38/duz5sH907Pmut24cQN9fX169+6Nr68vo0eP5sGDB49dq7Tz4GRyOT2nv4OekRFXDu17/glCibzwA1q1Ws2mTZvIycmhVatWALRu3Zo///yTXr16YWFhwcaNG8nPzyfgr2Hbp4iIiMDJyQkDAwNatWrFvHnzioe+L1y4QGFhIZ07dy5uX7duXdzc3AgJCcHPz++JfSqVSpRKZfH7zMzMF71VoYrY+SCdDJWaUU7WqCWJj2o5YaVb8RMwTXQU/LeWE9NuxnAiNYu2VlX/kdTzmBnqEnonlUK1Bl0tPkIpjTp16hASEvLY15cuXVr8ZyMjI+Linl7DauLEiUycOPGp/WdlZZU90H9o17Am01o+YOOlRD44mMC3R+7Ru54F03o2w6GKfR/F3E5CLRVQw67q1gry6dwUE6tw9i++xab5Z+k5pQE1fWtqO6wSU6lUHD58mNDQUJycnPjggw+YOnUqmzdvLm7z1zy40g4A6BoYoGdgQG5GOpIkVcgjxldNqX8yhoWFYWJigr6+PlOmTGHbtm3Fz+s3btxIYWEh1tbW6OvrM3nyZLZt2/bMYfCWLVuyYsUK9u/fz8KFC7l79y5t27Yt/kGVmJiInp4eFhYWj5xnb29PYmLiU/udN28e5ubmxS9X1+qztFZ4VI5azcxbMcy6FUtzM2O+8XLhh7pulZIc/WWgvSUtzY35MOI+hZrqvx2Ju7UxVsZ66MjFD9GKpFDI+c8AP85+2o/fBnpSw1zB2mvZtPkmmOE/7eXw5ShCb9xlyHc7afHf7ew/d0trsYaeuIAkV9PCv+qusgOo1aQOg95rikyWz96F4YQdvVYp1y3pPLhnzXVzc3OjQ4cOODs7I5PJGDly5GOJUFnmwTXs0JWIs6fZ9cM88nOyS32+8KhSJ0h16tTh8uXLnDlzhqlTpzJmzBhu3LgBwMcff0x6ejqHDx/m/PnzzJo1iyFDhhAWFvbU/nr06MHgwYPx9vamW7du7N27l/T0dDZu3PjidwXMmTOHjIyM4ldsbGyZ+hO05+foJNYnpDLAzoI13jW18puRTCbjy9rORObm88f9x4fEqwtJklgdeo89VxMY2tz1lfgtM+/GQwpiy3dkqLRkMhm9WtRh+3t9OfymH/1q6XItWcmEDbcYtuoGl1IguUCXP05EPr+zCtK0dUMAjh48+ZyW2udQy4URn3ZERy+dYxsSOLW54qdblHQe3LPmug0ZMoRz584VP9HYu3cvPj6PTtwvyzy4Fv1eo++7HxJ5PpQF418nMfL2C/Uj/D+pjDp16iRNmjRJioyMlADp2rVrjx2fPHlyqfps1qyZNHv2bEmSJOnIkSMSIKWlpT3Sxs3NTfrhhx9K3GdGRoYESBkZGaWKRdA+v5Dr0sgrUdoOQ5IkSXrvVozkeeyKlKws0HYoL+T7g+FSjfd3S2+uvyjlF6q0HU6Fy735UIp9/7gU999T2g7lMbl5+dK6oEvSd1tOSjfuJUo13t8tzVhyQGvxbFy+W/rkk0+kzSv3ai2G0srPzpGWzVon/Tr5iLRv0RFJo9FU6PVu3bol+fn5SbVr15aaNm0qXb16VZIkSRo/fry0Y8eO4nZLliyRPDw8JA8PD2ncuHFSQcHfPy9WrVolNWjQQGrUqJHUvXt3KSYm5pH+TUxMpMzMzDLFeXTlEum7Ib2k3ya8XqZ+qgptfX6XefKBRqNBqVSSm1u0q/O/a3woFAo0mpLXkMnOziYqKgpHx6LCdU2bNkVXV5cjR/4urR4eHk5MTEzx3Cfh5VagkTjyMJOHBU+vnltZZns4oiuX8UVUgrZDKbU7qYn870gEfh6W/DysMfo65b9VRFUiqSUy9t4BQKaQkXM+CU2+9r+H/mJooM/wDr68M7AN9dzs8XeAnVGFjP5pF8lpGZUaS3REHNfvnsfBxINBo3tU6rXLQt/YiDFfD8bSPpmoS7Bl/j40FViz7K95cLdv3+b8+fM0atQIKJoH988VZxMnTiQqKoqoqCiWLVv2yGTrUaNGce3aNa5evcq+ffsemf7x1zw4U9OyzU9rP3I8bV8PJC8zg9yM9DL19SorVYI0Z84cjh8/TnR0NGFhYcyZM4fg4GBGjBhB3bp18fT0ZPLkyZw9e5aoqCi+//57Dh06RP/+/Yv76NSpE7/++mvx+3fffZdjx44RHR3N6dOnGTBgAAqFguHDhwNgbm7O+PHjmTVrFkePHuXChQuMHTuWVq1aPXWCtvDyuJen5L6ykNrGBljqav8D3VJXh9k1HfkzMZXzGTnaDqdEotKjmHt6LgM3TwUg9E4acw/uQVXFV1Q9SakK9dWsRcvP+/HR9YVINnqkbb5NwvxzXAw+88RCffD0In6VYeWM7gR6m3AqEXr9UHl7bUmSxNZNq5Gr9RkeOKDSrlteFDo6DJ87FBevdBKj9Vjz8S4KlIXPP/ElJpPL8WrZBoBt33yGVIpBCuFvpUqQkpOTGT16NHXq1KFTp06cO3eOAwcO0KVLF3R1ddm7dy+2trb06dMHb29vVq1axcqVK+nZs2dxH1FRUaSkpBS/j4uLY/jw4dSpU4chQ4ZgbW1NaGjoI7UhfvzxR3r37s2gQYNo164dDg4OlfqDS9CeDFXRh7hUheZFj3CyxtvEkDm341BXpcCeICUvhWG7h3Ei7gRTW3Zn4VgHHO2SWBEEPvPWsOrCaW2HWCqlKdS3JfA3zv94gFRZNtulUBxmN0dpqGHAoIF89vHcxwr1PauIX2VQKBRM7dEYBRoeFOpXWkmAy5e3k1mgxCTHjfOHjlXKNcubTCaj36yB1G+lJvOhIatm7yEnPVfbYWmVhYMj1i5upNyLrvLlJaoqmSRV8Z/w5SQzMxNzc3MyMjIwMzPTdjhCKWxPSmPKjXvM83JhrLPN80+oBBczcuh1MYIvajsz3uXxQm9VxbHYY0wPms7BQQdxNPl7v7WV50/xzf5IcrJtcLRL4pv+bWjrUbW3HElOTsbT05PU1FR0dHSQJAlHR0dOnjxZPFFWnVXAd//7gYirt5hbczx2bzbm8OXjfPXVV5w8eZLFPy1g35JtLPv4F6yHP1qxf+nSpQQFBbFu3Tpt3B5QVDdp9JqiUTEDmYo6VgraupvyRh8/jAz0y/16BQV5/O9/c9FoJGoZ1iblji2D5zTGyq7Gc8+tqs7tPsWZXRno6BTSc5ovbvWr772U1eGlC7h6eD/1/NtT1z8Ad58m1XJhhrY+v6tHARThldbf3pLhjlZ8e7fqzPtpYm7MSCdrvrqTwOzbcRxIySBbVXV+SwuODWb+2fnsjNqJjkwHe+NHd2If06wNV+aMJLAjPEg3ZNSScHr/vpI7D6vulirPK9SnjM4g4csz3Np6DptEfXTsDNFzMnmkUF94TCRGNiYM/Xgc3p4NGNZ5IMlJRfdc0iJ+FaldQ3cufNiRjzo6UsNEIjmrgF8vZNNp3l6Gfb+T6Yv3c+RS+a10u3LlMNnZhnTs2IQ2fbugKdRj4xdXuXPtYrldo7I1792GLmNdUauM2PW/KA4s2YNaXXXmnlWm9qPH03LAYJLuRrF13idcCz6k7ZCqFZEgCdVCAxNDUgvV5FShJOTjWk4Mc7Di6MNMxoTdpd7Jawy8FMkv95K4lpWLtgZn72bcZfaJ2ay9uZaD9w7S2L4xctnj/9R1FArmdu3FhTl96eiby/W7JnT6/gQT/vyTzPzq9XhCnVXAg0VXAdB1NUXX3gizTo+PHKhUKo5dC2Fet3fZM2ghNjlGTBk3qfjY4cOHWbx4MZcuXcLZ2ZmpU6dW6n0AWJsaMqFrEw582J+QzwbyThtrFHIZ9zI1HIpWMv7PcAZ8vZ31Ry9zPzn1ha+TlnaHo0dPoqNTSP36XXCo4c6wTxqi0C/g5OYbpe6vrBu5RkdHExAQgLm5Ob6+vo+co9FomDVrFvXr18fb25sOHTo8tsXHP9Xxa8TIL5tjZJpK5EVDdv7walaX1tXTp83QUYz57jd0dPXIzajcyf/VnUiQhGohND0bK10FhlWo6rOZjoIvvVw406o+IS3r8amnEyYKOT/eS6Lz+dt4n77O9Bv32JqURkolrcDLKshi2pFpWOhbsGfAHnb138XiLoufeY65oTF/DBvG4Xf8qVcji8OXDGn61XY+O7S3VCtQK9qzCvVln44HwO7NxtRu04AHVnkY+RQ9+nysUF/XTvh81A2HWU0ZUL8rZ86e+fvYc4r4acOMPn6c/KQ/IZ/2J+yzXkxqYkZkpow5B+7T5ofTfLo2qNR9RkQc55df/iA315BatXQwMirassfS1g0d/Xx09Er//VrWjVzNzMz44osvnviIc+fOnZw6dYorV65w9epVOnXqxAcffPDMeMxtLAj8ZhAyWTbxUcZs+243BXkvz36KpSGTyTA0M0cpikeWStX5tBGEZ3hQoKKOsQHyKvr8vKaRPuNcbFnl7cFN/4Zs9q3FUAcrbubk8caNezQ6dY2u58OZfyeB0PTsCqnGff3hdd4MepOUvBQWdl6Im5kb7ubu6MpLtp9TLWt79k4OZOUkL6zM8/njiIT3vNWsvaj9JAGeXqjP3dqFrKOxGPs5oudk8txCfReuXCTfWI3cQIfghHPUNXMn6+T9EhXx0zY9XR0+GNKWK5/34c/ARjQwV7EiLIeHpVxReeDATnR1Vbz2mh+9e7/x6EFJF43KoFT9lcdGrlZWVvj7+2NsbPxY/zKZDKVSSX5+PpIkkZmZiYuLy3PjkslkBM7vgJ7+feIjjVjy9jFOb6n6hTArQn52Fjp6etoOo1oRCZJQLUTmKvEwLP9JqhVBXy7H39KUj2o5caR5Xa60bsBPdd2oZajPqvgU+l+KpP7JMMaF3WXV/RRi8pTP7/QZYjNjmX1iNsN3DycqPYp5/vOoaf7i+1O196jLmXfGMXeQBRqNjA83PqT1D8s5Fa39qrxP2rBWnaHkP/u+ZsfmbahzCp+5Ka2bmxsffPABrVu3pnHb5pyXIvlu3FxyLyY9cszb25ugoCAWLVqk3Rt+CrlcTsu6bnw1tCUSctYevYRGoyEt6/mPRlNTY0hJMaFOHXMaNuyOqemj89NMbFPJiLcr1ehheWzk+ix9+vQhICAABwcHHB0dOXLkCJ999lmJYjMyN2XMN0Np2t0AmUzBpYOpaF7BVV2Otb24cTwIZW71KE9SFVTeZlaC8IJW3U/hYaGK1MLq+UPNXl+XoY5WDHW0Qi1JXM3KIzg1k6OpWcyJiEMtgaeRPgFWpnSwMqOVhQlGpXiUuC96H3vu7OHNxm8ytuFYdOTl8886sHkbRjbx47NDe1l32oARi27SqFYIvwzqibuVdlbuPW3D2lVHNvFg4WVS193EZnyjZ25KO2rUKEaNGgWAOqeQhM9D0a1t/Nix6sDHw5GaxiqWnkth97Ud3M7Ww1Cmws5Ag4uZLjVtjKjrZEkjd3vq17BHRyFnxYpfASOsrJ68ItTDuybJtyA74wFmlvZPbFPZzp8/z7Vr17h//z5mZmbMnj2bKVOmFI8mPo+evh4P41IBI/SNNMgV2q+pVtm6THqT1e/PYNPnH1LDuzFuDX2o0cj3iW3vh9/k7qXz5GVl4Fy3AbWatkTfyKhyA64CRIIkVGnnM3J473bR7uwLXoLlugqZjMZmRjQ2M2KmuwMZhSpOpmdz9GEW+x5ksDQuBT2ZjGbmxrSzNKGtpSk+pkZP3FQ2Q5nBptubCE8NB6COVZ1yS47+oqNQ8Fn3Psxqn8PM7TsJDjOlw/fH6OKr4Ye+fTHRL92jmIqia2OIjrUhyqgMChNz0HMyee45kkYiY+9dAIybVY1E4EXM6VWf97bdIDZXhq+lCjcrA+6l5hORWkhoUg7q63lAPAo0qJFTT1GXLwYa07Tp0Cf2l51WCDIFegaPP+p6mn/OD/urBMPTNnKNiooqfv/P+WHPsmrVKjp27Fi8afmYMWPo2rVrieMDyHxYNBlcmWfGhs+2MOy/g0p1fnVnYe/AwNmfcnrTGq4HH+bs9k30f++/uNRrwO3QU0RdOENy9B2MLSxJjIpALldg7ezC1cP7AbB0cqFZ7wF4NmuJkbmFdm+mkog6SEKVdTIti1FX71LH2IAVjWrioF+yuTTVlSRJROQqOZ6WxYm0LE6lZZOt1mCqkNP6/5MlfwtjktLOczjmEMGxwWQWZKKRNBgoDNjadyuuZq7PvU5ZRKQk8uaW/dy8a4WufjZj2lrwQcfuj20xpA1xs08A4DzPv7jWiyRJSEo1mlwVhfHZ5EekoWNrROH9bPJvp6HJKfrQtJ3ijb67udZirygqlZrb9x9w9W4SN++nsjIsFz1ZITe/6IlC8fh8lMKCPP547zByHSUTv3utVNcKCAggMDCQwMBANm/ezPz58zl//vwjbe7cuYO/vz8XL17E3t6efv360bVrV6ZPn17cJjg4mLfffpvLly8Xf+2HH35g79697N27Fz09Pb7++muCgoI4cOBAqWLc9b89xNwwBMC9oZLO4zqib1Q9Ht2XJ0mSWDJtLFaOzihzc0m6E4Fz3fo41alPZnISBqZmBIwaj46eHqnx90mKuk146CmizoeCTIaDhyf12nagUYeu6BpU/C9J2vr8FgmSUCXlqzU0Pn0dDyN9NvrWwvgVHBJXaSSuZOX+f8KUzen0ohUohpl7qV0YTD2resxqNgt9hT5KtZIaZpU3wnY08iazt4eSlGKHqWkKH/aqyzDflpV2/X9TpStJnH8WXSdj7N9sAkDatghyziQ+0k5hro86U4mugzEGdSwx8LJEz80MmY72E7yK9unmlSw/b8OEFhl8NPD1J7a5dnY/x/7Qo/nAbFp07fvENk8THh5OYGAgDx8+xMzMjOXLl9OoUSMmTJhA3759i/cq+/3335k/fz5QlFQtWrQIXV1dcnNz8fLyQqlUkpGRgZ2dHaNGjWLevHkolUqmT5/OyZMn0dXVxcHBgUWLFuHh4VGqGLNSM1jx3lbkOkX/VuTyfKYu6Pmcs15O53dt5diaP9AzNGTQB5/h5FXvuefkpKcRfeUiURfOEHkuFIWOLi71G1LHz5+GHbpUWKwiQapgIkGqPlQaick3otnzIIPNvrXwtyzbxo0vg433wnjzjhp9KZdfaxvR28WnSlTEXXb2BN8fuEtujjXODkl8P6AdfjU8KzUGSSORvOAymuxC7Kb5ojDVo+B+Nsm/XALA6vW6yI10kBvroWtvBFLR5rWvkqvRYfRdFIO33X12zpr01HZnDq3n/BZ7Bs2ug4O7cyVGWLnO7gzh3N48APQNsxj7bS8UOq/WjBNJoyElLgZTKxsMTJ7/SPrfMpKTCA85welNa9E3MmbqkpLNB3sRopK2IPy/ZfcfsO9BBj/WdS1xclTWInXPOhYSEoKvry++vr40aNCAyZMno1SWbeVZaR1MjgVAo8klXllQJZIjgPEt2nL1gxGMbK8h8aERwxZdp9/SlcSkpTz/5HKSf+MhhXHZWA2rg8K06LFR1omieWsm7Vww8rbFwNMSPUdjZHLZK5ccpWWnMWP9ZRyNU5k/pNMz23p6twQ0RIWdf2a76q5F31aM+64VCh0NyjxTwoIuaDukSieTy7F1c3+h5AjA3M6eFv1eo3aL1phYWpdzdFWDSJCEKkWp0fDLvWRed7RmuGPJ/9GVtUjds475+Phw7tw5Ll++TFhYGMnJySxYsKBc7rekfmnSlU+c8zGV5TP3nobgxFuVev1n0VEo+KJHH87N6U37RjlcvWNK+++CmbJpI9nK/Aq/fs7Foq1ClJHppO2IJPNoLHmXH2Di74xFzxcvd1DdrQjeRYd5v9Nm/hGSso34op879V1qPfMca3sPDK2SubLPkJPbX+7q04Ymhvj1L0oOHsZnaTmaIpIklWsF/pzkVK59s5MbX+0icvOJCin8KlcoSI6O4vLBveRnv1yFKEWCJFQZkiQx7cY9HhaqmOxa8mXk5VGk7lnHjIyM0NUtmiBeUFBAXl5epY/gGCp0mOrlx3JfXyS5AWfTKnePsJKwMjJh5euvs2+mH16u2ey/YEjjr7Yw78j+Cq3IbdioaLl65uEYlBHpZP//6JFejVf70ewfIZncz7KlX4McDrzVlE7ebUt0Xs83fLD0uMqV/frcvnyqgqOsfGq1howHWaTEPuDC3mgA7l558S1bykNWbDL39p3l6vubiX4/iFurDpe5z/TwOOK/P4txijGkazA4D2GfbuXuzlBSrt8th6iLtOg3GJd6DTnyx0J2fv9lufVbFbxaD12FKu1iZi67H2TwtZcLtY1LvjLiWUXq/trlHZ5dpO55Beyio6Pp168fUVFR9OrVizfe+Ff14QqUWZDPa2cOIpcKUGrUQB2UVXjzzbq2ThyYEsiRiBvM3n6GxYfUrDuzio961meob4tyv55xYzv0XEyQG+miMC5KZCW19Mo9Svun49dPEZNhwYw26bzTZ0ypznVwacDQmXVZNOMwYccj8fJtU0FRasfW+TtIjv1rxaIdckUqHUc31lo8N5cfwPiWAQqZHAO5EQVSPoowOVFbT5EX8xBNjhry1ChUOsh05Bi3dSLrdBw6+QrUcjUye12MPW0xdLTExscDuY4CjVrD/RXnUGh0sJpUn5q13YhcG4zpVXN0TxeSfzqOuJ6ZuLR78Urxhfn5yORyrF1cGTp3Pqc3rePSgd3l+DejfSJBEqqM3+MeYKenw0inqvc8293dnStXrpCdnc3IkSPZunVr8fYVFWlBxBk+j5GQ5G4oNLmoZXo01I1hSq32FX7tsupUuz7n/lOfJaHH+fFgKu9veMAvx/7g+4Htaen67Ec9paVr+2gRu1c5OUrOSGbqhnhczJSMbt/rhfpIS05AkuRYOb18xQGNLY0gFvT0H9L37dbY19TyZPRbSrJ08rDo70ntxq0JXx2EcbgBnNUg0xiilOch6SrQmEjIsiQUR/MwkyzJME4FtYTRfR0UiUoKSOTuprvo+ltRmJWHuWRDdp18rGsX1ZnyHBFAYf98kj4/V3TdvZnc2L8DPR9L3Pq3QK8ENc2UuTlc2r+buJvXiLl2BZlMTvepb1GvbQds3GqQn5XJw7gYrF2eX9uqOhAJklBl3MlTklygIi6/gBql2FakPIrUlbSAnYmJCcOGDWPt2rUVniDdzUpm3r1s9GUy5nsYM8jFj0xVAdb6zSr0uuVtkl87Apup+OTgXjaGGDN0wTUae57if4N64WpR9ZLh6iw3P50vtm8np9CZz3qZYWtm+UL9hF86D5IZzTqXrhhjVacqVHHvei5yuUTgt/3Q1eLeZGqVish1xzCVWZLbSI1z84YA1Bvbhbz4dFRSIcaO1o/UGFOrVMQduYSBrTmNmhT9klSQn09WTBKZ0YlkHr2P7UlDJHUOKIwxjNDh2mfbqTenNwpdHXSNDVD7G5B5+T4YyNA8LMDskoy4C8fJNs3CqoMnLv6PjyolRIQTvGopKbHRaFRqnOrWp82QkZzcsIq9v36PpaMz964UrRrNeJAkEiRBKG+/1qtBu7O3OPIwk3EuJZ+D9M9NTAMDA4s3Mf3n4zUompvk7+/P3Llzsbe3f2QT02cdi4yMpEaNGujq6lJQUMC2bdvw9vYuvxt/ig+uhVKocOMHT0MGu9YBwFpRNSpXl5aejg7zevbl3YBs3t62k5PXTWn/7VF6NJH4pndfjPVfvWJ95Skk/BzvbLpFfLYVUDQiYlSGv9Psh/mAGUmxMZha2JVPkFVAeEgYGrU5dm5ZlZocqfKUJIbeJDf6IYXpeWiyVSiyZJjJrXhgkECjAQMeaW/oZPHEfhQ6OtTo1vyRr+kZGGDtVQNrrxpIXVpwZ8dp8s/kYSAZo5DpYJFrzcMb0dj5FP08rNG7OfT+u4+UC1FknLiFYYIx7M7k2rEdeM3ojJ5ZUSX1h3GxbJn3X4zNLWnWeyCNOnXDxNKK68eOABAwegI7vvuC7LSieVy6ei/Pv2WRIAmVLrVQxc7kdJQaDQ1MDGlhbsy9vAKm37gHgKtB6X9wLV68mMDAQL766qviInXAI0Xq/rmJKRQVqftrE9NnHQsKCuJ///sfCoUClUpFp06d+Pjjj8v89/A0ao2aEw/uEJlXCDLILMyrsGtVNmsjE1aPeJ1byfG8ueUge85Zc+jqZsYH2PCf9l2qREXu6ujb/ddIybPgg84aXKxtCKjng5HBiz8ea9qlFffDT3JwUQFxHbbSfuAAZE/Y7qa68WzegOB1JynIr7h7yc/IJvLnI8hUEvre1sjkIAvNR09ugJ5GhiTJUClAbaJBEWBF43YlmzxfEjKZjFr920B/iNp2grxrqcgc9KjbwP2p59g0rYVN01poVGrufXMci0wrwj/fT1LdZGLCLpOWcB9jSyuGf/7dIyUB1KqiMihntm9CVVDAxN/+wNTKBtlL9G9YFIoUKlWhRsLn9DVSC9XoyWQUSBJyQAM46+uyytuDBiaG2g5Ta5TqQvyO7SZBVhOkQtoYprK+RRf0SrF5bXVy8PY1PthxjpSHdpiZPeC/vRvwmnfz558oFDt16xyjV8bTyTOdJeNLNyH7WfLzctjy43rSYzxo0iefVr1ejorTK+dsJDvVjD5v1setQfk8ClKrVGRGJ2Lu7kjEmqMY39Ink1TMsAIgQ+8hVr28sPX1REdfe4/1nkWVmk/iN0Xzk2IUtzkft5/6bTtgbu+Aa/1GONSq/Uh7SaPh5slgkqPvUKd1Wxw961RYbKKSdgUTCVLV8Ou9JL64k8C3dVwY5mDN5axcQtOzcdDXpa+dBfov0W8fL2LUmZ0cynVjqHkS0zyb4GVW8keN1dmikGP8fCiGvFwrXB2T+H5ge1qU80Tul9GN2Ah6L7iJnVEGf05uRw278t1uprAglyVvhv4fe+cdHlW19eF3ZjLpvSckIQkkgQQSei+hdxARBKWKNOHqxU8pKgoWBFHsNKUpAtJBepPeIaET0gvpvU/d3x/RaC41kGSSMO/zzAMzZ5991jkzOXudvdf6LQDGftEEM0vbCu1fF6TEJLF5/mUkUlM6DrOjcZfAZ5LtyLwVS8raqyWxRNo8TKUl8hKyQfZoJGoKwlKo/3InZE8xM16VJM0/jyZXidRcjst7rUFCtRGk1Stp63kuuJ5fslwUbGuJXCqhpZUZ/6nrxFBn2+feOXo39AiHCj2QaXJYFNTluXGOACa37czV90bwcgc1iWlmDFtygxdWrSU+O0PXplVrlBqBVsj4uL9zhTtHAHJDU3pOMUYiVXFiW+1I4XbydMGvTcks9clNGfz01haiQm+Vux+tVsvNn/aRuyYSiZBQFKhGYaUk0ySVLLtM7Jt449amMX5juld750iZkFfiHFnIcf2gTYnifDVxjnTJ8z0i6akyCjVazmfnczA9l5Eudk8VZ1SbOZMWx69Zdsg1Gdzu1AbDB1Rar+0YGhiwsP8gzs3qQ4eAQkLDLem86ChTtm4kX1l74rAqEqO/tL/OXb3+TKV2jh49SqtWrfD39ycgIIAZM2aUinv6BLXDvF4UMz5aioebG/7+/nz//fdVc4KVROcRHWnR14KADjJUSlP2Lgkn7sbdJ96/ODefG3O3YxVpToFdAd4fdMXnlS40fv8FAj8aQuN3ByEvRyaurkn9IRQA89YuujWkmqFfYtNTqai0gm9jU/guNgWlEPibGbOzmQ8WBjJdm1ZtyFUqaHniMDmyOjhq47jWrXxV1Gsrt1MTeWvLYe7G2SA3ymFcZxtmBvdGJn1+fzuXI0M4eP0WKrWGA2GQlG+NjVE+hoe+Y9KEyYwdO5YtW7awcOFCLl68WGbf6Oho2rdvz5UrV3BycmLQoEH06tWLqVOnEhISgpWVFd7e3hQXF9O9e3def/11xo4dixCC5s2a0blRO+qbDcHcKY7OY1rh6e2vo6tQscTduscf34UhtDmMW9QDM6uH1yaL3X+BnJAETLJMMJKYoGlnhNegtlVobcWjTMgrdZAcpzbB0L36KdDrl9j01DpyVGqGhkbwZUwybazNWBfozYEWfnrn6F9otVoGndtHjtQZJxHHxHKUWKntNHR05eAbo/nptXpYmWlYcRCaLFjDxqtndG1alaLVatlx4SBtP/mVIT8lsvKCGb+FmGNkIPhvJwW/jmzKzeu3nqnUTtOmTfH29gbA2NiYJk2aEBMTA8CRI0cwNjHh619/JLBvBvkpbhz47i63LhyrsmtQWSRFJPLHd6EASKRWRFyMeGjb1AvhSP4swjzTHKWNCtNRdWu8cyQ0WnL2RmNgZ0ydzzpUS+dIl+jT/PVUChoheC/8HiF5hWwOqkdHW/0f3oNosHshuRZ9eNUmha+a6meOHkQPX3+6v9uQn8+fZfHBbGZtyOL7YytY9EIn2tVtoGvzKhWlSsmbv/7K/rvOBDqpeK0dvNqhJ6ZG/6TwX758+ZlL7fyb5ORktmzZwu7dJTFHt27dwsHBgeHDhxMWFoaLkxNdfPpwbK0J0dfWIVBi725O654vIZHUnGfurOQMtn15AZDR8zVXNEmZyDKzKUjJxMzJlsLkLCJ/O4FxXRt8XupE+o5bCI0Wrw+7YVoLViG0Sg2Zv91GEZOL/Rj/51p9/mHoHSQ9FY5aK3A7fhWAefVd9c7RQwjNiCPPrBPGeYf4qsu7ujanWiORSJjQph1jW7Rm7sEDbDxjzSvL7hBY/xTfDemPp7Wzrk2sFOZu3cD+u84MaJDKN6PGIJNV7uxrbm4uAwYMYMaMGbRoUaLYrlarOXr0KOfOnSMgIIBly5axbOkSZg5/h8Q7ZijzXYm9BHX9r+Pi/vS1vaqabYv2IcUVb2MtxTvvYKOxA2QkX7qI0kiJmdISG4ktpMGNK9ux1tqjkBXWCudIU6Aifc1N1CmF2I8LwNjn6RTXazt6B0lPhbMmMR2AFpamTHKvPSq8Fc3QkOtIJZZsaT9C16bUGOQGMj7r25f/Cy5k+va9nLhhT5dFJ+jeREFHr/ocuB1NWn4RDpYGfDngBVwsrR7faTUjr6iYk3cucyEinM3XrGnrnsj3Yyc8tH1FlNoByMvLo3fv3gwaNIi33367zH5NmzYlICAAgFGjRvHGG2/w0qURyOVybp4/xrHVWi7svs6gKTXHQTK1NMVSISHA2AiVWoKiJdgGeVH80w0sVNakOabg9VJbkvffgHuQo8rAMKjm/Z7+F3VmMemrbqAtVuMwsTGGbvoH2Iehd5D0VDi5ag0SYKaXPiPiYeQqFeTJ6tDNNIkWdm66NqfGYWtqytpXX+JuaipvbT3MocvWHLqciVRmgJGhCXfjTOgYto+3erjzRvt2yGqACnRiVjqf7djG0Ug7itTGmMnNaeiQy2sdAh65X0WU2snPz6d379707t2bDz74oMx+ffr0YcaMGdy7d486deqwd+9eGjZsiFwuB8DF0xuIIOGqK7FhodT1a1Jh16QyGTS1D1G/3YakAizHBGHnb1+yYZJAkZFP01YlCtfWk3RczLYCUSbmk776BhJDGY5TgjCwe35FeZ8EvYOkp8J5w92RU1n5jL4ezcW2/tgb6n9mfyOEYOHtUyQqlIAdba1r/hOpLvF1dGTflFe4khBHVFYKAxoGYWRgyMWECMb9cpyv9mSz58Y69k0eWe10XfKKCvjj0hHsLe1pWc+f8av2Ep9tzcCAQoa38iDIqxnSJ8zYe9ZSO99++y0XLlygoKCAbdu2ATB06FDef/99zMzMWLZsGf369UMIgZWVFRs3biw99sVDJwEXZIb5yAxcK/AKVR65ifmkfBeCNZBnb4Jrg38EMG3quUMt1Cgtjsgm49dbGNibYD8uAJn58yclUl70af56KoU9admMvxGDsVTCxqB6tLF+eOrs88TS8AvMSyi5Mcm0udzu1ApLec0sQFvd0Qot03f9zs6zlgTWy+SbId3wtq0eA3hWfhYjlu7gTsY/S9AStCx/2ZCeTXvp0LLyE3riKKfXg0SmwN47BUdPczoNfrFa1tXLjsohZX8MBnG5SAGLEX7YBTpUO+e5oim8lkbm72EYeVthN9IfqVHNyiTWp/nrqVX0sbfiUAtfGpqZ8NbtOIo0Wl2bpHOK1Co+jdMgEWo2+FtxqnWg3jmqRKQSKd8MHE7LhmlcizKnxzdHWX3xhK7NAmDetp3E5liw+lUbtrzuzP8FF7H5dc8a5xwBNOnUld7T5Jg6hpEW7sHNw9bkZCTq1KbC9CJuL75M9KyT3F53m7urb3Br5XWyl19FHpNDvoEU85ENsQ9yRCKREB4e/kxCm38jhKBr165YW1uX+TwuLo4BAwbg5+dX5UKb+WcTydxwB5PG9tiPCahxzpEu0c8g6alULucU0O9KON839GCoc82v4/QsvH/tCCsz7PjMQ834ei10bc5zxY2kZEauOUx2jhVt/HNZM+JljOW6WfrdfeUKb2+JoZvnJT4b8S62FrUng+j3RWtIjywJ/Laqk8jLM19CbvjPQ4BKWUTE1avE3Y6h7YDOWNpUfJyiEIJbH5/Dqkj9wO2FDe3wHVNW5LJr166MHj36qYU2/2bx4sXcvn2bzZs3k52dXWpPixYtmDVrFkOHDgUgJSUFJyenCjzr+xFCkHs4jrwjcZi3d8WqnzeSGhCL9yB0NX7rg0P0VCpBFiV6LesSM557B6muqRlkgEL7XDyTVCsauThz7p1hTNy0mRPXLWi+cAPfvNyEHj6Nq9yWExEFKLVGtHM+zoVzW0lWNMPOoS8dGw3C2qxmP7z5tXZBkZ+KlYuKhNA6rHz3COb22ZjZKCgukJEV54TQGCLBEZOrN7D1icF3VHMMzZ4tHkar1lKYVoRQa8i6noFVkZpsBxMM04pQm8rx+b9m5Mfnk3I0Du8Xywavp6amcunSJQ4ePAiUBLNPmzaNiIiIMoHu/xbaBJg8eTLz588vdZBu3rzJjh07WL16NZs3by7d78iRIxgZGZU6R0DlO0daQfbOCArOJ2PZ2xOLzm61fhmxMijXEtvSpUsJDAzE0tISS0tL2rZty759+0q3JycnM2rUKJydnTEzM6NZs2Zs3br1kX1+/vnntGzZEgsLCxwdHXnhhRcICwsr0yY4OBiJRFLmNXny5PKYrkcHFF67xuSNfwDQ0UafSuptZg3A9uRk3RrynGIsN+SXV19l4Sv2aDQSJqyKZPKW31FrNFVqx7XEEgc5tPBz8gzHYyhJw7RgLqdPt2HlH2PYfWETeUWFVWpTRdGkUy9GzxvOoMmjaBicj1SmJOeeC4k3PMmMdkdoDDG0SKVz/Qi85cZYx6i59/F5bn0bQvK1tKc65t01N0n84DTZ314h58erSE8kAGCdVoTD643x/7ANcjNDbBrY0uCNJhhalHXG4uPjHyq0+W8eJbSpUqmYMGECy5cvv0+r6t9Cm02bNmXw4MFERUU91bk+CUKlIeO32xRcTMbmJR8sg931ztFTUi4Hyc3NjQULFnD58mUuXbpE165dGTRoUOl67ejRowkLC2PXrl1cv36dF198kWHDhhESEvLQPo8fP87UqVM5d+4chw4dQqVS0bNnTwoKCsq0mzBhAklJSaWvL7744ilOV09lI4Qgc+1aEmfNJmryG1w0LEkjvX76HDFR0Tq2Trd0dfKlniSO62p3fol++N+Ensrl5cB2nJ/5IoHeeey/ZE6LL37lUnxMlR3/76iG7VfzsHcawyv9DuPtv4dCwxFYGERjkj+b4ydbsmr3OPZd3Ex+cc10lroOH8jExYMZv7glvaeZMeGbNgz9wItgn0Is0/0wHASm4xtT4GCCZVI+6vV3yLyTWf4DRWaXeZtlZ0KeTEKaoQy5RdVkas2bN48XX3yRhg0b3rftb6HNOXPmEBISQq9evRg2bFil2KEtVJH28w0Ud7OwG+WPWYvaKaBaVTxzDJKtrS2LFi1i/PjxmJubs3TpUkaNGlW63c7OjoULF/L6668/UX9paWk4Ojpy/PhxOnXqBJTMIDVp0oRvvvnmqe3UxyBVDTl/7Cbx3XeR2dpi1qE9Nm//H6suhPKDxJRCQyNeSYnlnR4dsXd5Pv9wx5z/gwOF7vzka8iAOrWj2GdNZvXFU3z2RxwatQnD2smZ36cvMlnF5q4UK9W8sf4KsRlFTO1SD0cLI0auvADAklea0TewbBxOxL1rXLm7FYqOYmecSJHamDRVK1yd+9KxUX9MjWqmdo1WqyVm3a8Y3vJG1kuBS5fupdsSZp0EwPS1Rtj6li8mK3pfDPLj8RQI8P6oDXJTebn2T01NpX79+mRmZpYKbbq4uHDq1KkyS2yLFi0iMjKSZcuWAbB3717mz5/PqVOn6NixI3FxcUgkEtRqNYmJiXh4eHDx4kWOHz/Od999x4kTJQkCBQUFWFhYoFAoSrWkKgJ1VjHpq2+gLVBhNyYAI4/aM87pavx+agdJo9GwefNmxowZQ0hICP7+/vTs2RNDQ0N++eUXrK2t2bRpE+PHj+fq1av3iZY9jIiICHx8fLh+/TqNGjUCShykmzdvIoTA2dmZAQMGMGfOHExNTR/aj0KhQKFQlL7Pzc3F3d1d7yBVAoqoaJJmz0adkYE6NRWphQW+p0+VaZNbUMDXB46z2swOQ5WKSVlJTOzfAwsba90YrQNylYUEnTyLiSjgVnd93bXqQnJeFiN/3UpEnAuOdln8MroHDZ4xRuRYWCoRKflIJPDNkXDyitVIJPD33VYqgY8HNWJkm7qP7OduwlVC7m6D4qPY/+UspataUcdlAB0a9cHEsGY4S0IIojevw/CKJ5LgPOr07lu6rSC9kKwvLwMgHVgP13aPl2IQQqDVCO6svIFVdA4aISjytaXB+EZPZV9wcDBjx44tDdJesGABly5dKtMmKiqKDh06lAnS7tmzJ9OmTSvTLiYmhiZNmpQGaRcUFNC4cWNOnjxJnTp12Lx5M3Pnzn1optzTUCIAeROJXIr9uADkDg8fG2siNcZBun79Om3btqW4uBhzc3PWr19P374lP/bs7GxefvllDh48iIGBAaampmzevJmePXs+Ud9arZaBAweSnZ3NqVP/DLArVqygbt26uLq6cu3aNWbOnEmrVq1KBc0exNy5c5k3b959n+sdpIpDlZxMwdlzZK1bhyY7G4vu3VFERWE7ejTmHTs8cJ/EjEw++fM8O60dMS8u4hVFLm90a49jLRdM3B5/g5l37pIr8+ArLymvejXTtUl6/ofFJ/fx48FstBojxgdb836PLk8Vu7H/ehKTf7tS+t5AKuH/evoyuGkdui8+gVwm4fD/dcbOzKhc/d6OD+Xq3W1IFH+WOksZ6hY4OvSgrX8/rM2qbzZczM6NGJytg2iTifsLg+7bHrk9As3FZCQagfng+jg2d0QmLxvLk3Unk6Q90Yh8JeaFav6urZrvaIrXhMYYPcNyWlhYGGPHjiUjI6NUaLNx48ZlhDYBfvrpJxYsWACUOFXLli27bxbofx0kgIMHDzJjxoxSoc0ff/yRxo0rJkGgjADk2ABkVbSsWJXUGAdJqVQSFxdHTk4OW7Zs4eeff+b48eP4+/vzn//8hwsXLjB//nzs7e3ZsWMHX3/9NSdPnnyiH8OUKVPYt28fp06dws3t4eUXjh49Srdu3YiIiKBevQdLnupnkCoXTXY2US++iDoxCYmREa6fz8eyb9/H7/gX0QmJfH/sLNvs3dBKJQzOSmFa6yB8PD0ev3MN45u7F1lwT45Mm88o+0IWBD3ZA4Oeqicy4x6j1+3iXpIHbk45/Dq6D152T+Z4aDRafj4VzaIDYQgBs/o0wMnSmD6NnJEbVOyy3c3YEK6GbwfFKZxMYtFopaQq/DGz6kLLBgNws68+UtBxB7Yi/dMRTdNU6r485KHt0sOyyF51A2MJ5AB2Q3wwtjXGup41ADc/OI2FSkO+VIJEgKhriXVje1zaudbY9PVnpTA0lczNdzGqZ43dqw1rrcZRjXGQ/pfu3btTr149ZsyYQf369blx40ZpUcO/t9evX7903fZhTJs2jZ07d3LixAm8vLwe2bagoABzc3P2799Pr15PJqymj0GqOHL27CHt2+/QZGbitX0bchcXJAZPpxiRGp/A8uPn+M3KkVxTc7olxfKfBl60atGkYo3WAX8k3GZp9G2uqDwx1aYQ2qkLloZ6YcjqjhCCj49sY+0xFQg507o7MT24/SNnk3aF3uPtzVdRawSGMilfvNSYF5pWTY29qORILoX9QWHuMVxMbmEg1ZBe7A7GHWnk3Y+GHi2fuGRJRXPv2B9o91ui8U/BY+RLj1XXVhepifj0HOaaf4alHAMpuJpjEZtDfh0L/N9sihDiuc7MEkKQf/IeOXujMW3miM0QHyQVHDtXnaixOkharRaFQkFhYUmmxf/+AchkMrTah6soCyH4z3/+w/bt2zl27NhjnSOA0NBQAFxc9MVQq5rcQ4dI/L93MO/WDfvJkzB0d3+m/hzd3Zgz8iXezstj7eGT/GxqycA8aPHrdt5wsKR3t05IKzCQsbJQawUG/3qKzVepmBSWjVbigTvRrGzeSu8c1RAkEgkfdR/CkMZRvPbbPr47YMzu67+zbkw/XK3ul6sIT8njrd9DS2eNJnTwqvBA70fh7VwPb+f/Av8lPSeTM7f3kl94GAfVTpKj1hN+x4oCSRs8XHvS0q8nxoZVE5+SdPYg2gPmqOslUffVYU9UesTAxADP/2tO9q1MJCYGJJ9JxPRePrLYXFRIsA8ucTqfa+dIK8jZE0X+6UQsurhj2bPuc309KpNyzSDNnj2bPn364OHhQV5eHuvXr2fhwoUcOHCA4OBg/P39cXFx4csvv8TOzo4dO3bw7rvvsnv37tI4pW7dujF48ODSwLY33niD9evXs3PnTvz8/EqPZWVlhYmJCZGRkaVxTnZ2dly7do3p06fj5ubG8ePHn/hE9TNIz4YQgsxVq0hd/DVmHdrjvmxZpfxRqjUath4/y9KMAu7YO2FWXIRnYR71tGp8TAzxs7ehgbsrXs5OyHX8xHQj6x7v3brE5WI7NBJTLMmiq5WGgS6eHEu7xy+ZNqyqD33dm+jUTj1Pj0arYfb+jWw+bYBUYsCMPnWZ1P4fFfR5f9zkl7OxaIVg5ZgWdG1QuQKA5aFIqeDMrT+JTTyImTiLvUkqCo0hmaogbOy60tpvAPbWlfOQmXrlOMVbNKjdUvCcOBTpU84w6ymLUGnJ3BxG0fV0rAfWw7xt9agtWNnUiCW28ePHc+TIEZKSkrCysiIwMJCZM2fSo0cPAMLDw5k1axanTp0iPz+f+vXr884775RJ+/f09GTs2LHMnTu3xICHDLKrV69m7NixxMfHM3LkSG7cuEFBQQHu7u4MHjyYDz74oFwXSu8gPT1CrSb500/J3vg7dhMm4PDWm0+9pPbExxSCE9ducSb0BhEqLVHGZsTZ2lNgUvL0K1ercM/JwktZTH25FF8rc/xcnWngXRdz08rP7InNz6D1xXgAmsgi8TCRczZHRZq0Lkj+ujZCQ0LnIAxk+sGhpnM+4RaTNxwlK8OLBh6F/DKqHx/tvM2+G8mYGxmw5NWmdPJ1fHxHOkKr1XI15ho3o/agLTqJi2kEAKnF9ZGbdaJxvX40cAuskIee9JvnKVyfi9oxg7pTBiMzLF8wup4Hoy1Sk/7LLZTxedgN98Okkb2uTaoyaoSDVJPRO0jlR5NfQM7OHaR99z3anBwcZ8zA7rVxurOnuJh7MbHcSkgiPDOH8CIVUTI50RZWZFhal7Zzzs7EqzCPehItPmYm+Dna4e/pjoOzU4XNep1JjeHFm9kYaLJJ6B5c+nmmIo+dCbe5W1BIbyc3Ojs9mbyFnuqPSqPiv7t/Ye8FC9CaIIQUP2cL9r/VscYtcSSkJ3L+zm5ys//E0TAUYwMlmcWOFMva4uXWm1a+nTGUl9+xyQoPJXdtChrrbDym9sfAxKwSrH/+UOcoSF91A02uEvsx/hh51u6s3/9F7yBVMnoHqfzEjhxF4aVLyOztqfPVV5i1bqVrkx5KZnoGdyJjuJOaTnheIZFaCdEmZtyztkP7V+yDVUE+nrlZuEXcxdfWikZBjWjo5UFdV2dkTxAfAXA4KYz/3o4iXeKCVJvPJ55yxtdrXZmnVimEh4czZswY0tPTsbKyYs2aNWWSK/5m5cqVLFiwAK1WS9euXVmyZAlyuRytVsuMGTPYv38/arWa9u3bs3TpUgwNS1KMFy1axNq1a9Fqtfj5+bF69er7KpzXVP6MvsyE346gKfLkxP/1x922ZmvOFBQXcub2Qe4lH8RSch4rw2wKVSZkqJtj79CD9gH9sfmrTM6jyI29Q9bKKDRmBbhN7Ymh+fM1iFcWqpQC0lfdAIkE+9caIXes2b+3p0HvIFUyegepfGT9vonkjz7CddEirAb017U5T01xcTHh0XHcvpfM3excwguKiUJGnLMrir+m/s2Ki+iWmczweh50btX0kc5S2z+3E40Xgy0SmebTnACr6hNzUh6epnp5t27diImJwcDAAKVSiZOTEydPnkQulzNx4kR8fX159913efvtt/nhhx+oU6cO3bt3x83NjdTUVEaOHMnEiWMpViSiUUto27YpP/+8FxMTM86ePcuUKVOAkrpWHTp04LvvvsPIqHouzzRa1RprSQNOjVura1MqFI1GS2jUee7E7kWqOImjSTwqjQEpyibY2fenQ+PBWJua37dfcV4K6Z/dBcBhdgOMrByq2vRaiSIqh/RfbmFgY4T9uABkltXz76Gy0TtIlYzeQXo82qIi1BmZ5B85TMrnCzDv1g23H76vccsHT4JGrSY2Jo7bMfFcSMviDyNzEm3sccrJYpCqgFdaBtLgX5pMQggGn93LOUUdANb4mdDb1e9h3Vdrnra0QlBQEIWFhYSHh9O7d29u3LhBQkJJYdBt27Yxd+5cNm1aQatWPRk4cCC//vorgwYNokEDH5YuXcbxE1NJT9+BrU0gWdlXmDc3hT59xvP++99RWFiIXC4vnZ0aMmQInTp1Yvr06Tq5Ro9i8emtrI6YSyf7MfzY7x1dm1OpxKSEc+H2dlQFh3E2iUShMSQqx4eo3Ea83mM0Dd380KgVxCzZgHFSfQxfAscWHXVtdq2g8HoamRvDMPK0xG6UP1Lj5zeWscam+eupHahSUol56SXUaWkglWI99CUc3nqrVjpHADIDA7zre+Nd35t+wEcaDSfPX+H33Ax+s3dlRXQmjS7c4kULI4a0bcbi2MucU9TBVRvBQCcHers20fUpPDWPql7+bwfp39XLU1NTiYyMxMamRDRx2LBhHD16lJCQEAICAli9+jMiI2+y+Ot+NGqk5c8/t/PH7va0bhPF14v3kp+v4d69AzQKeJO6dSeSmRmGStWJpKTNpKcPxt6+S+lxlUolRUVF1fK3l5iTxdo7SzCW+LC415u6NqfS8XTywdNpBjCD6ORbXAnbhVZ7gp4eW0gK/53Qq3XwjX4J56SmGLxgimOL5ro2uVaQf/oe2bujMAl0wHaoL5IKFhrV82ToHSQ9AMRPmoQ6LQ2n997DrGMHjJ5Aj6o2IZXJ6NyuJZ3btaQgN48/jp1mc1EBn9o68HFINGCLs4jjSIfe2Bjdv8RQ24mPj8fBwQGNRgPAuHHjmDNnDkOHDsXSUkVAQC5yuRFaTSc6dBB0717M++/doLhYiUJR4uh06nicrKxsmjZtSWRkJO3bO9J/AFy99jod2p8lKamQQYMGERkZSb9+/XjjjTd0ecoPZPSud9FIcpnXfgFGBrWvpMOj8HL2x8vZH5hFbkE2l+4eANUhLHJKsqkKdhTw54FTaDzM8WzlindD+yfSPtLzD0IryNkfQ/6JBMw7uWHV2/O5VQmvDugdJD0ACKUSAIuePZA7O+vYGt1iZmnB8IG9afjnZmK/n8U1pwC0hko+/HZJmXY1Vc3X3d2dpKQk1Gp16RJbXFwcHh5ly7x4eHgQGRlZ+l6lUuHp6QmUzDrVqVOHjz6airHJJ9y6+RIxMXcwMXHDxsaV2bNn8/HHcOvWLbp27Yq1tRwrK2usrKy5evUq0dG7GDlyBGfPOjFp4gIMDR3w9JRw9epV8vPzGTlyJNu2bWP48OFVeWkeybyj60jRnqeT4yj6+rXUtTk6xdLMmq5NXwZeRvQQxN5OJ/ZyEtrYPOqG5WIclsdl6R0y3c2o284N38YOemfpMQi1lqwtdym8moZVf28sOtTRtUnPPfpfrB4AzDuWxA1ocnJ0bEn1IPr6aQynfIjPrQSamSUz+vWRABQUZLPv00kcCQ7iaqA/u17pzJHVH3N6y3cU5mYRdWofe6YP5fyvXz1SQV6XODo60qxZM9atWwfA1q1bcXNzK7O8BjBkyBB27dpFcnIybm5upKSkMHToUACKioqIjY1FcABFsRMrV15gxowZeHh4EBsbS1JSEgB37txBoVAwY8aMMn17ePTixRd7cPBAChmZJ8tsMzc3Z/jw4fz222+VdQnKjUKlYUfMWsw1gfzQt3bHHZUXiVSCZ4ADXUcH0n1Oe9w+bMu97nXItDXEI7YA8w13ufLBKQ4svUzYtZRq+3ehS7TFatLX3KTwejq2IxronaNqgn4GSQ8A8r9KhhTfuIGxX80MPq5InOs15py9DKNiLZ0/WYGZiSXXT+8i5533cMvREN/Kg+ROdbA6fgXHhRsAiP1gKQDeAPtusOvP/byw6pDuTuIRLF++nLFjxzJ//vzS6uVAmerl3t7ezJs3j/bt2wNgb2+PuXnJ8uJvv/1GTk4206ZuQS535P/+7wMGDBhAQEAAHTp04NixY0ilUmJjYwkODmbatGlERERQt25d5HI5Go2ECxeMaBzYmLS0Q4SH38bLywe5XI5SqWT79u0EBgbq7Pr8L/vvXkUtS6aXxyv6mZDHYGIqp3V3b+jujUKhJvRUPNlXUvCILcAs9i6XZWFkepjj3ckdn4b6bDdNrpL01TdQZxXjML4RRt7WujZJz1/os9j0ABA/eQr5x47hc/YMBjZPVr28tpKfkcKxSS9S70YmKbZStOOHob6XiP2WE2Q7mOD59Xd4B3YASkpRxFw+hiIvm+hdGzBv05YW/cYR2r0TGiMDOp0I1e3JVCBhYWGMHTuWjIwMLC0tmTnLDTe3Qn7+yZ1BgwYxcOBAAH766ScWLFgAQHBwMMuWLUMul7NixQq+++47ZDIZarWabt26MeSl29jbB3L6lN9927744guMjatH/bo1l4/x1Y3/sKjdz/T2qXm6V9UBhUJN6MkSZ8krU4kpEmIMBHleljTsUhdP7+fvvqNKKyR95Q3QihKNI2e9sOaD0Kf5VzJ6B+nh5B09SsIbUzFr1w6PVSt1bY7OuXPhAGL0f8t8ppZCTDtPui5eh5ml3SP3P7nlW+w/WEbO3Mm0Gf5WJVqqO4QQ/HnMHw+P8dSv93RLTvkF4Zw/35vAxstwcOhRwRZWLKO3zudK3u8cH3YKO9P7C9bqKR/FRUquHoujIDQVzxw1hkgINwSlrxVB3b1wdq7caxwfnUXczgjILKbYWEaxowkdX/bH0qLqdIaU8Xmkr7mB1EyO/WuNMbB+PjWOngS9g1TJ6B2kB6PJLyCiWzcM3d1x+/FH5E7Vt55UVaHVajm96jMK78Vh4uSKX5/hmLt4YGb4+Ke7yJunyRg9gSx3G3puP1Ujg7iflJu33iEz8xRt2xzGwKD8mX3h4fOJi19JcOdbyGTVe3Bos3oYcqmck2OqT1xUbaEgV8HVozEob6Tjla9BAOEmUiT+tjTv7oWNzdPXVkxJzMXA0AAbWxOkf2WD3YvNpmDpNQyBm5YyzJWCesUlw2CkiQTXwT4YmRriUf/BM1pCCPJyFJiZGyJ7yvT7/DOJ5OyPRu5sht2YAGRm8qfq53lBr4OkRyfkHzuGNicH1/W/6Z2jv5BKpXR8fU659wu/doK016egMTGg6Y9rarVzBODtNZ3U1P3cvjObBn4fI5c/+RJJfn4Y9xI34uz8QrV3jn6+eJh8yV2aW76oa1NqJWaWRrR7wQ9e8CMrvZBrR6Ixvp2F1+UMMi+nc8FChkmQAy26eGH6BI5E7J100pLyyYvNwedOLirguoFA4WCCyFPSKF+LKRLyRvvRz7/knhdxNYXwfZE0ztbA+hJF8ATgurkU+zYuOHvbYCCVcPNoDC7huVgJCaFoKDYzQONoSpuXG2Jj/WSOXO7hWHIPxwFg/3pjpIayp7pueiof/QzSc4jQaEhftoycHTtRJSRg1rYN7itX1voBvTK5c+MEGa9NQWNoQMMNm3Fw99W1SVVCcvIu7oTNQSKR4u31X9zcRiORSBBCoFSmYWRU1ukWQpCReZybN6djYuxOs2brn2r2qSrp+usY0lThHHjpD1wfs7yqp+JITcjl5pEYjCNycFdBAYIYWzlWje3x8nfEwc0CqaxkBkcIQVGhimNrrxEYV1TaR4EEMn0s0cblIVNpUcglYCbHqY0rDTp63HfM21eSyE4vpCC5gKK0IhwzFNTR3n9fVCBIMJZSr1igQJAiA49Jgbh5WD/0fIQQ5J9IIGdfDBJjA1zfb4VErneOngT9Elslo3eQ/kGVmEhE127I7OywnzgB6+HDkVbTmlc1gbu3TpMybiISuQEN12/BzsNH1yZVKUplOlFR33AvcQPOToOwsmpORORCNJoC7O274eU5DUvLQIqLE7l69XXyC8KwsWlHYOMlGBhU33geIQT9NkwjTnkSb3l/dr06X9cmPbfE3s3g7rFYLKPzqCNKnKIiBEkGoDKU4lSoxZoSR+aWtzm+XTywsDHBzv7ZCrtqtVrunIznXnI+inwlXq3qYGtngrW9CSaGJQsw0bfTyf3lFsYCGOSNX1u3+/oRWkHO7ijyzyRi0dUdyx519Q+k5UDvIFUyegfpH4QQ3Gnoj0Qup8H1a7o2p0aTEHmVqJGvIpNIabhhC7Z1n4+ZoweRmLiZqKivUSjTkMutSpfcCgujMDdvSGFhNFKpIXU9JlG37qRqP0Ak56XTY1sXTDR+HHllHRbVJKPueSWnSEnLz45grZWwKLg+qqQCpOnFyArVFNkbY2FngrmLOYEd3Kv8t5WSkkf+1yEYIeGyixGmFoaoshXYtXCmRUtXMjbfRXE7E9N+3tjpNY7KjT4GSU+VIZFIsHnlFbI2bEBoNEhk+mnepyH9XiRRo0chE1Dv19+ea+cIwNV1KK6uQ8sojAuhITV1H/fubcDdbQyenlOq9azRv7E3tQagSBKvd46qAa+vvYxSrWXmsCA6N7t/lkaXODlZUPh6I+6uuUHzJAUkKchHYL43jqS9cRQj+Igizu29yrjsHNrVt+NCdBY7Q+8xuGkdZvRuUNqXRiuQ6cuLVAv0M0jPKYWXLhE7chTmwcHYjh6Fadu21f6JvjqRn5PBuZd6Yp5VjNOvK/Fq2EbXJumpYIQQtPtlMPlE0sV+At/1q/3Faasr20MSmP77VVrUtWHLlHa6NuehaLVaou9m4OFlg0wuJeR0PMnxeSQYg0UdS2IzCvjpZBRaAcZyKcZyGdmFKlp62uBgYcSZyAzyitX0CnDijeD6+LtYlmbfPc/ol9gqGb2DVBah1ZL8ySdkb9gIgOsXC7H6S+hPz6PRajTsf7UbLjdTMFz+BQHtBujapFpJeHg4Y8aMIT09HSsrK9asWUNAQMB97VauXMmCBQvQarV07dqVJUuWIJfLOXr0KLNmzSI/Px+JREK/fv1YsGBBqRL2woULWbt2LYaGhhgbG/Pdd9/RqlWrMn0XKBW02dACqcaGq6+dqJLz1lOWvCIVLT47jAAuvd8dS5OanRKfnq8gu1BFPQczMguULDseycnwdO4k5yGVwOsdvdkVmkhybjE2pnJszQxxtDDGzcYEGzNDrsRmIZNK+PrlJrg+YeZcTUdn47d4TsjJyRGAyMnJ0bUp1QZ1bq6I6N1HhLVqLZSJiRXS5927d0Xbtm2Fj4+PaNGihbhx48YD2/3888+ifv36wtvbW7z++utCqVQ+dtuff/4pjI2NRVBQUOmrsLCwQuwuD/vfHytu+DUQpzZ+U+XHfp7o0qWLWL16tRBCiM2bN4sWLVrc1yYqKkq4uLiIpKQkcTAtW3gEdxNjPlsofopPFVtOnRGRkZFCCCGy8gtEu/btS/sLCQkRHh4eIi8vTwghxK+//ipatmx5X/+rLhwTjdY0Et3Xjauck9TzWIYuOyPqztwttl2O17UplYZSrRHpecWl74uUanE6PE0s3HdbfLTzhqg7c/d9r44Lj4pLMZk6tLrq0NX4rS8q9JyijIsj9pVXUaekUHfDeuQuLhXS76RJk5g4cSJ3795l5syZjB079r420dHRzJkzh5MnTxIREUFKSgorVqx47DYAPz8/QkNDS18mJlX7BJV44wIeW84R7WFI+5drp0p2dSA1NZVLly4xcmRJkeAhQ4YQHx9PREREaZskhZKl6zfg260HU5LyGHU9mtyeg1i/YQMfhN9jqtKEXgn5DA2NoMGFu0Q51yUmJgYoicNTqVQUFBQAkJ2djZvb/XEtgXVKPktV3kGt0RdZrWp2hd7jQnQmLT1tGFzN4o4qErlMip35P5nExnIZ7erbM6N3A+YODGDpq82Y3acBvQOceam5G7+93hqJBIYsPcObG0IoVKp1aH3tRe8gPYcoY2KIfXUkWqUCz983YuTtXSH9PsmgBrBlyxYGDhyIs7MzEomEyZMns2HDhsduqw44+wSRFFQHj3tqvlo6h0JVoa5NqpXEx8fj4uKCgUFJHolEIsHDw4O4uBKBPYVWS9tzt/nh0jUuG1tyNruAt+o6cXJgVxxzMrjU1p8fGnpgJZdxKacQTWY6qUcP0KZnLwCCgoKYPn06Xl5euLm58fXXX/P999/fZ0dz13o0MO2NhiIKVYqquwB6KFCoeXfLNYwMpKwa21LX5uiUPo1dmNS5HstGNefLoUG0r2/PwemdeKW1B7uuJvLu5msUKTW6NrPWoXeQnjPyT5wgZsQrIDfA87ffMPKpOM2exw1qfxMXF0fdunVL33t6epa2edQ2gMjISJo1a0bLli1ZsmRJhdn+pEiNjOj4616+fO0NFjUYQuM/97My/Bji+Qjlqzaczc6nWCvwMjWim60lYR0aMdvbBalEghRwMzbkJWdbLrTx52pTTwzm/h+mw8fQqXVJodno6Gi2bdtGREQECQkJTJ8+nZdffrnMMbKLCpi86ytuFxzAUFsHS+PnI96juvDamoso1FoWDmmMhXHNjjuqDIwMZHw0wJ8m7tbsuZ7E4kNh5BaryClSodLPdlYIegfpOUKrVJL47gzkbm54rl+Pgb29rk0qF82aNSMhIYErV66wfft2li1bxqZNm6rUBiEEb2/bz+EmbRlZnIbUwIb34y1pe3Q9oRlRVWpLbcbd3Z2kpCTU6pKlAyEEcXFxuLu7cyQjl3HXY2hoZsyYoACcczKwkpc45TExMXh4/KOQXJCfT+/evWneqw9mQ0fxwpVwlFotW7dupXHjxri6ugIwbtw4Tp8+jVKpBOBeTiYdN3ThdNYaZMKMYT6vVPEVeDzh4eG0a9cOX19fWrZsyc2bNx/YbuXKlfj4+FCvXj0mTJiASqUC4NixY5iYmNCkSZPSV1FRiQq1VqvlnXfeoVGjRjRo0IDx48eXXpuqYFfoPc7/tbT2QtPau7T2rBgZyNg2pR1d/Bz46WQ0gXMPEjTvIM0/OcT726+j0eof3J4FvYP0HJG5ajWanBxcPvsUubNzhff/sEHt3wMWgIeHB7GxsaXv/z2oPWqbpaUlVlZWALi5uTFixAhOnjxZ4efxKLYe+JPNTh7MyU3myz49uNm5M6Pti4nDmz6hiYw+u5lcZUGV2lQbcXR0pFmzZqxbtw6ArVu3YuzoTMeEAl69FoWlgZRFfu689NJL7Nq1i+TkZIQQLFu2jOHDhwOQ/5dz1Lt3b3Yu+pxAcxOu5RdxLrsAb29vTp8+TX5+PgC7d+/G19cXQ0NDAHIVhSArwtd4AFfHnWVWp+rnID1NvF9yUjKfzfmKghwFl/ZF4+lej5CQkPti+lauXMmVK1e4cuUKt2/fRiqV8u2331bJef17aW31c7609iRIpRKWj2rBxolt+PGVZix9tRkdfRz47XwcB24m69q8mk2VhoTrkOc9i02rVIrbQU1EZP/+lXqczp07l8k8at68+X1tIiMjSzOPtFqtGDBggPj+++8fuy0xMVFoNBohhBC5ubmiXbt2YuXKlZV6PmXsTkgUPrtPipfX7RBarbbMtviCPNH71H7hdOSyqHtwr/j29p/3tdFTPu7cuSPatGkjfHx8RPPmzYXtz5uE09EQ0XDIy2LHjh2l7VasWCG8vb2Ft7e3eO2110qzHj/99FNhYGAggoKCRKPAQCGv5yvMXpsqruUWCK1WK2bNmiX8/PxEYGCgaNu2rbh48aLYcfOc6PnLNBGwqqkIWNVErL58WFen/0hSUlKEhYWFUKlUQgghtFqtcHJyEuHh4WXaffHFF2LSpEki416+2Lv0mnjzhYXC27mR+GHSEfHmgK9EHbt64srB2Pv6nzp1qvjss89K32/dulU0bty4ck/qL15aelrUnblbbL+SUCXHq41otVpRd+ZuEbzoT12bUiHoavzWO0jPCarMTHHLr4FI+fLLSj3O/w5q165dE0IIMX78eLFz587Sdg8b1B617fvvvxf+/v4iMDBQ+Pv7i48++qjKnJDs3DzRdstB0WzzAZGanPLQdvuTokTDIweE09EQ0fTwZnE6NfyhbfWUjwNp2cLpaIhwOhoiUhXKx+/wL0ZejRS+J66J4xm5921Ly88SL2yYJRr/3EU0WtNINFodKMZs+1TcSrlXUaY/EU8ikREdHS06d+4szMzMhJGRUZltLVu2FEeOHBFarVZ06dJFWFlZiWnTpom333hPzB2xTrjb+wgna3dhIDMQXdr0Fos+WCGM5CbC18tfNGvaXLwzaZ7ITMoXQgixatUq0bp1a5GTkyOUSqV4+eWXhYWFRaVfg/+svyzqztwtRqw4W+nHqs1otVrR+Yujou7M3eKrA3dEbHqBrk16JnQ1fuuFIp8TUr/6iqzf1uO9bx9yJ8fH76CnlGvhUcy+dIs7VrbscDGncdPAR7bXCsH82+dYlqRCjREdTO6xollPbI2rd9X66s7t/CK6XAwDYKl/XQY5WiN9QvX3xqdvMNLFjpne/8hZaLVa5hxZw674VQhJAXWNOtLDqzNjm/TC2qTqv6uuXbsyevRoxo4dy5YtW1i4cCEXL14s0yYzM5Nbt25x+fJlZs6cSXFxcem2Vq1asWDBAkJDQ7l9+zabN29mcL+hZEQIuga+xIA3gygig779+jJ48GAirybTq/FYerzShC0/nmDpvtmMGfIG81e8gxCCefPmsXPnTkxMTOjevTs//PADmZmZlXb+b20MYWdoIg2dLdj9nw7IZPoIkGehWKXh/e032HolAYDxHbx4u4cvu68lotIIXm3tUWOqJ+hq/Nb/Ap8DFJGRZK79BZvRo/TOUTnQajR8+OtmesVlk2BkwlJL2WOdIwCpRMIH/m252qEF7U0zOFXsQdCp83x240+0Wn12ydPS0NwEx78qqE+5FYvrsav8ci+9TJvIwmIK1PenO6cp1YTk/iPJkJQax3/eG8bRiO+xk9Vncfu17HnlO/7bdohOnKMnlciwtbWlQ4cOeHh4oFKp7ov3UygU7Nixg1mzZgGgzjIlMy+FvhObUK+xC3HxJYHu+fn5FGSokaqMOLL2NjbmDrTy687lq+eBkgzUuXPnEhISwpkzZ/D393+ginlFMf33UHaGJtJA7xxVGMZyGV8NC+L7EU2pY23CylPRBHx0gJlbr/PBjhvcSsrVtYnVHn2x2lqO0GhInP0e8jp1sJ88Wdfm1CiWb9vLCjcfXs+4xwc9O2NsWb6B087IlK1t+3ImPZap15L4Ps2dDX/u5hv/BnR3eb4L2z4t19o3IkWhIiS3kJ8T0phxN4H2NuakKNR8HJlIaF6JE/RdQw8ylWpOZ+cTX1ySfWUlLynKfPbWUQ59sxjvHJCnB7B4xarS8iO64lESGfXr17+vvY2NDSYmJqxbt46xY8eydetW6tSpwyeffMLKlSuRyWQoi9TUt27Jrtjf2Pr9Kd5a0o8RI0agUqkwMDDgjUkfkBUuwbe5MyHHIrkWdYYhA0uC0YuLiykqKsLGxob09HQWLFjAJ598UinnPmfnDbaH3MPXyZw9eueowhkQ5MqAIFfuJOdyJiKDHaH3uJaQQ16xXlzyceh/ibUcVWIixdeuYTV4MFJ9RfJykfPX4vMmI0t+PHjsqftpZ1+XkK4DmO1aRJ4wZeTtPPqd2kVSkf4J7mlwMpLT28GKJf4lellTbsYy7GoESq2W0a52NDQz5s3bcSyITiJDpUYKdLA257uGHnz1zTROfvIVMo0Es05dcc/LZseuw7o9oafEzc2N5cuX4+vry4IFC2jevDkvvvgiX331FYcOHQLA3tKVfi3GsHjnmzT09+ell14iLS2NBg0asOHwj3x/eBpvLhjGlzumEdy5KwuWlcw85eTk0K5dOwICAujYsSOTJ09mwICKrzm47Hgkv56NxcPWlL1vdtQ7R5VIA2dLXuvghblRiRM+fMU5vTr8Y9DPINVyUhd9CYCoQg2T2sKsYQPocOocw0xM2V2Qy/89Y39v+bXlNe9ipl05zMF8R1qcucpIezWfNe6MgY5nMGoijkZynA3lXMsvYoyrHZ/6uCH/q/J5qkKFtVyGAbD9wE8UK4r57shtpBcTMG5Tn6njP8bE3IJ5N6K4vu1X+vTujImx0aMPWIn8WyLDwMDgoRIZ/8bY2JizZ8+Wvu/YsSMHDhxAIpGwb+8+ilWFfPjbK7z74hLaN+yHg4cFw94rSZsfN24cEyZM4MaNG6z47wnUCg39pgaWzqQ5OTlx+/btSj3nvdeTWLDvDjamcva/1REDvXNUJThY/PM7bzBnP+M7eDG7b0MdWlR90f8iazG5Bw6Sd/Ag5sHB2E99Q9fm1Dhy0zOYE5OKTVEBq9o3rZA+LeTGrG3dn/1N3XCXprI20wb/Pw+xLeFOhfT/vPFzI09+CvBkoZ97qXMEJc6ToVTK8p/eI2bNHyRvOIT0YgIF7sZMe3MxZpZWSKVS+k94A1NFNqtW/KrDs3iw7pObm9sDl9cexsmTJ4mNjSUmJoZJXRZhLDflyze20G1YU/x6mBM8ph5QEpy+efNmAgMD0ai1qBUlMVtXDsQ+qvsK5XJMJtPWX8HYQMr+/3bC1Ej/rF5VmP4Vx2csl2JrZsjyE1F8uPMGOUUqHVtW/SiXg7R06VICAwOxtLTE0tKStm3bsm/fvtLtycnJjBo1CmdnZ8zMzGjWrBlbt259bL8//vgjnp6eGBsb07p1ay5cuFBme3FxMVOnTsXOzg5zc3OGDBlCSkpKeUx/7lBnZZE4cyYWPbrjtnRJjclWqC6oVSrG7z1GjL0jaxt64OXuWqH9B9m6ca7LEOZ7FKPWqnkjvJguJ/cQkZdVocep7bSwMmOAo/UDt528vJec49dQBzkx6vtljFu6kg+/3IJUJitt07KZPyqf1uSe3Ut8YmoVWf1gli9fXmbJbPXq1QC8/vrr7Nq1C4DCwkLc3NwYOnQot27dws3NjdmzZz+0z3ELO9CynxdFhil07dkZX++GBPg3Ii0tja8Wfc2+ZddL29ZtZFe5J/gXEan5DP/pHBKJhK1vtMPJsvov/T+ravnfCCHo2rUr1tbWZT5fuHAh/v7+NGnShDZt2tw3BlYkg5q4EuBqyeZJ7ejgU1JN4Zezsby1MURfMul/KFea/x9//IFMJsPHxwchBGvXrmXRokWEhIQQEBBAz549yc7O5ocffsDe3p7169fz0UcfcenSJZo2ffAT+O+//87o0aNZtmwZrVu35ptvvmHz5s2EhYXh6FiScTVlyhT27NnDmjVrsLKyYtq0aUilUk6fPv3EJ/o8pflrFQpiho9Acfs2dX9bh2nz5ro2qUYhhOCtTbvZYufKChMt/dtXrppvsVrJ9JB97MyxBYmcF2yL+CqwIyYy/VP1szD/qwkYXkjktRVrsLVyeGi7xOR01kyfhPAM5P3PP6pCCyuPQ6tucvdCCr0mNMLI1IDkqByuHolHUXh/YG7viY2wsDPG3s0caSUvc6XkFBP85TGK1Rp+fa0VHXwe/r1UJ55EgiE6Opr27dtz5coVnJycGDRoEL169WLq1KmlbRYvXlwqwZCdnQ1AaGgogwYN4ubNm5ibm7Nu3Tq+++67SnWS/iY9X0FMegH7biSz8lQ0TpZGNK5jhaedGW9196k2NfB0Nn4/q5CSjY2N+Pnnn4UQQpiZmYlffvmlzHZbW1vx008/PXT/Vq1aialTp5a+12g0wtXVVXz++edCCCGys7OFXC4XmzdvLm1z+/ZtAYizZ59cTOx5EoqMnzZN3A4MEtm7dunalBrJ0QslYoQ//r7j8Y0rkLDse6Lz0Q3C6cgl4Xn4iFgSfqlKj1/b+OSjV8Wn459MOX7JD6vEomH9xKmzIZVrVBWRFp8nfph0pPS1ZMpR8edvd0R+VrHY+c0VsWXhRbHx0/Ni3/JrVWZTUYFCtHl/X4lKdkjNUckur2r53+zZs0e0b9++9P2NGzdEx44dRUREhLCysir9PDQ0VLi4uIjk5GQhRIkg7uDBgyvxjO5HrdGKY2GpYvyaC2LUyvPCa9Zu0fLTQyLgw/3ianxWldryIHQ1fj/1I6pGo2Hz5s0UFBTQtm1bANq1a8fvv/9Ov379sLa2ZtOmTRQXFxMcHPzAPpRKJZcvXy4zRSyVSunevXtp8OHly5dRqVR07969tE2DBg3w8PDg7NmztGnT5oF9KxQKFApF6fvc3OcjY0iTnU3eocPYT52KVSVkndR2dh8+zuuyknpvI7p3qtJj+1q5cqzLcHbEhTD7bh7z4m35Kf4Pvg0IoKOjd5XaUtO5cOUwRneyMOzo90TtX5swks8vHufgz0to02IpMgPZ43eqxti7mTPm83ZkJhZgamWIpb0JhsYlt/uBb1VMPF150Ki1HPv2ElJ1SdbUzt13cVdD8xZ1qtyW8vKkEgxxcXHUrVu39L2npydxcXEAqFQqJkyYUCrB8G+CgoKYPn06Xl5e2NraYmRkxIkTJ6rgzP5BJpXQ2deBzr4lM3pnIzMYufI8Gq14rhNIyn3m169fx9zcHCMjIyZPnsz27dvx9/cHYNOmTahUKuzs7DAyMmLSpEls3779oYGG6enpaDQanJycynzu5OREcnJJkb3k5GQMDQ3vW7P9d5sH8fnnn2NlZVX6cnd3L++p1jiEEMRPnQYSCVYD+uvanBpHZn4Bc/I0WOfnskaZhY2tjU7seMGjKTe69meqQyZpGjOG3sik/6lt3CvUxyc9joSsOL768U0O/PA1CmOYPGH+E+1nZCin3cgJWOYlsvbXLZVsZdVgbmOMR4Ad9m4Wpc6RLhBCcHTJZRrmqPm4rTeftPAkokjBkC2hvDLvCBfPxNf62Jd58+bx4osv0rDh/dli0dHRbNu2jYiICBISEpg+fTovv/yyDqz8h7b17Aj2daBxHSv8XWt3SMqjKLeD5OfnR2hoKOfPn2fKlCmMGTOGW7duATBnzhyys7M5fPgwly5d4u2332bYsGFcv379Mb1WPLNnzyYnJ6f0FR8fX+U2VCX5x48T2as3RZcvYzdpIoaenro2qUah0WqZvO8E+XJD9vjVoXevLjq1RyaVMadRV653bEM3sxQuK9xodeYqb17+A4VaL9nwIE5e2MOqd6egORWJVgZ+A/tgZPjkAcA9u7en0C2QxENbSE7TO6MVxZFfrtMwsZi7jW3oNqgBo14K4M95PfmyfT3uqdQM3XWNvrP3M/+r01y4nIhaXb20ef4twQA8VILBw8OD2Nh/MgFjYmJK2xw/fpzvv/8eT09POnToQG5uLp6enqSlpbF161YaN26Mq2tJIsi4ceM4ffo0Sh1KsyTlFPFnWCrDW9X+iYVH8qxrdN26dRMTJ04UERERArivwGK3bt3KrMv+G4VCIWQymdi+fXuZz0ePHi0GDhwohBDiyJEjAhBZWVll2nh4eIjFixc/sZ21OQapMCRE3A4MEhG9eov8s+d0bU6NZMHm3cLpaIjYtn23rk15INeykkS7YyU2eh7cI769fazKCvXWFOa+3ld8/kofce3O0/8NxMTeE58Pf0F88v5nj2+s57Gc2hkm4meeEHt/uPjA7Sq1RmzZcVuMnblfBMzcLerO3C0azdwjxn52VCxff1VERGVWscUPpnPnzmL16tVCCCE2b94smjdvfl+byMhI4eLiIpKSkoRWqxUDBgwQ33///X3toqOjy8Qgbd26Vfj7+4u8vDwhhBAbN24Uvr6+lXIeT8q3h++KhnP2idyi8hWFrix0NX4/8+KiVqtFoVBQWFgi8f+/kv0ymeyh9acMDQ1p3rw5R44cKdPfkSNHSuOamjdvjlwuL9MmLCyMuLi40jbPK0IIUr/8kpjhIzD09MRj7RrM2rTWtVk1jm+37+NruzpMSIll8Av9dG3OA2ls7czpzv1Y6mOMiUzK/CQrAo9sZ++9G7o2rVqgVCowLgBtHUvu3r7EmdCDT9VPXQ9XrNr1wyj8LCfPXa1gK58vQk/H43ImmZs2BvSc3OyBbQxkUoYMasDqBb0ImdeL9QMbM9LTniyFmi+uxtNt+Rk6vb+fHdtu6XQZ7kkkGLy9vZk3bx7t27enfv36ODg4MGnSpMf2PXjwYAYOHEiLFi0ICgri22+/Zf369ZV6Po9CoxX8fjGeAYGu1SaLTVeUK81/9uzZ9OnTBw8PD/Ly8li/fj0LFy7kwIEDBAcH4+/vj4uLC19++SV2dnbs2LGDd999l927d9O3b18AunXrxuDBg5k2bRpQkuY/ZswYli9fTqtWrfjmm2/YtGkTd+7cKY1NmjJlCnv37mXNmjVYWlryn//8B4AzZ8488YnWtjR/TU4OSR98QN6hw9i8MgLHWbOQGhrq2qwaxw87D/CppRNjE6OZP2KQzmtyPQlCCBaFnePHe8UoJJY0kEazpElb/K2rf8BrZZGXn833U17BSFny/RWaaZmzau9T9aVUKlkw8XVUclM+WrZEr/D8FETeSkX1yx2STKS0ndka46cYaHOzijh+Np5Nofc4mVvIZBdb3p3SCplhzQ6gr+4cC0tl7OqLbH+jHU09dBOH+b/oavwu119+amoqo0ePxs/Pj27dunHx4kUOHDhAjx49kMvl7N27FwcHBwYMGEBgYCC//PILa9euLXWOACIjI0lP/6cC98svv8yXX37Jhx9+SJMmTQgNDWX//v1lAre//vpr+vfvz5AhQ+jUqRPOzs5s27atAk6/ZlJw5gyRfftRcO48rl9+ifOHH+qdo6dgydY9fGrpxKh7UTXGOYKSLJoZDdpyq3N7XrDK5K7GlW6X4xhxdgeZxfm6Nk8nWJhbM/rLH7Ac2g4AAy+nx+zxcAwNDWk/eiLWuQmsWrOpokx8bki5l0ver3fIMoCmbzZ/KucIwNLGhAF9fflldjBvNnJlWVImEz4/Rl56UQVbrOffbLwQTwNnC5q4W+vaFJ1TrhmkmkxtmUFKX76CtK+/RmZrS93f1mHk5VW6rfjiEfI2rUJqZoI2Nw+r8dMxDHiwDMLzjBCCleu3MMe5HiPSEvhyWP8a4xw9iPiCHKaEnuSSwhkDbR6v2qv4tHFX5M+h0OQn749AmpDDtB/WYWVh+0x9ffbue4h74YxbvJQ6zvYVZGHtJi+nmBuLLmKiETi8EUQdd6sK63vP8Wje2XcLN6mMFa82xyugZohM1iTS8hS0/fwIc/r7M6adp67NKUVX47feQaohaPPzSfroI3L37MU4IADPjRuQyEuezIRaTfbXM0leef+SglVTewzreoKROaiVILQgxF//ajFwcsHqP58hkT8fM1BCCJat+o2PPf0ZkpvOt4O6I6vBztG/OZcex5vXQ4nDAzNNIrM87ZhQ//mJScsuzGLluFEUN3Pk/Zmrnrm/e/eS+eWdKag9mzLn8w8rwMLajVKh5vTCc7gUapGO9MO30dPP4j2MWxEZjF99kRyNhgFO1rzcyYuG/g6YmDzfsTIVxdJjkXxz+C4X3uuOlWn1uaa6Gr+fv0fMmoZGBWd/JHv1z+SeLikqadOxHpq0BAxcvVDH3CJ+9MsUp6oxdTfG5ZvlyBs0R3X3Klk/fErBtQjyb18ABPBXPbbSsmwSNEUSlPfu4fiV7oICq4qComJmb9zJJu9GDCvI5JsXeiCtRTXq2th7cKGLB7/FXGVepIQ58UYsidvBYv8Aujj76Nq8SkOj1SBBQm7aX7XUHpIUUl7q1HHGrtMgco9t4fjpy3Rury/Z8zC02hIhyPqFWrL61qV5JThHAP717dgzI5glG66xLTad3zeHAGAtkeAsN6Cnuy1jX2iIrYNZpRy/NqPVCjZejKNfY5dq5RzpEv0MUnUm5SZsmwQp19E4tSErzoH889cpSlSABEzqGKNMU6DVCNzen4j58OnwoAFfqwV1ERjef9NIf3sIaftuUveHhZh2G1QFJ6UbLt2+y6SwBFJNLfiAQib17KxrkyoVjVbLJ7dOsjJZi0pqQWODeJY2aU99S0ddm/bMCK0WjVqNRCZl75+/cX3N78jVEqSi5LevDnJi5nsrK+RYKpWazyZNBImU95cvQ26gf6Z8EAeXXcE/poCoNo50euHJ1MufFaVSw4WLCcQn5XMvo5CIrEKOZucjA15wtGZ8Hz/qN9QvjT4pZyLSeeXn82ya1JZWXs+2PF3R6JfYKpka5yDFX4D1w0BqAEN+Bq/Opc6PKvom+ZtXkHf8DNoiFc6fLcK4bY+nOowoyiW2b1vU+eB18Dgym9p1QykqLmb+H4dZbe1M/bRklgZ40jCoka7NqjJyVcW8FXKU/Xk2gKCneQbfNu2GtaGprk17Kv689Aenli/H9F+Vg3LtoE6LpshtLOnYrA/161bs93v0+AVClnyMVY9XeP31Vyq079rAsY03qR+ayU0/C3qNa6JTW1JS81m18zYbotLIFYKWJkYMb1qHfj3rP3Ww+PPCfzaEcCsxh8Nvd0ZSzWbW9Q5SJVOjHKRLq2Dvu+DSBIb9AlaVm76tDDlE9OhpmAfWpc5vT6cfUx0RQjB57Wb21PFmfGoss17ojYnZ8zn1HpWXwZTQU1xVuSHX5jDOSfBRQDAyac1Jmd647VviNh+k2EqKY/tmGBkYYW3lQK9ur2BqVLnf6yfvfoD03h1e/3YFTg7V6+lal1w4FIXTkQRuOxnT860W1SbZobBIxc4D4WwMucdVhRIrJAyoY8OrPerTsIE+uPt/ySxQ0mb+EWb09uP1jtWv7qPeQapkaoyDFHsW1vaHxkOh/zcgf/JSCc9CzuK3SFxxENf/G43VhNmP36EG8OvuQ7xr5sACZRZjdVw6pLpwLCWSt2/eJFHigaUmkTn1nBjlVf1ja46f3M6FH39G4WvN/733EybGVTsDFhOfxMYZb6Ct35L3PnmvSo9dXbl5ORHDzRHEWMjoMrMtBgbVwzn6X27fTmPD4Qh23csiG0GQkSHDguowuFd9TM2ej+SUx/HzySi+2B/Gufe6YVsNr4neQapkqr2DlB0HcefgwPtg7wMjt1WZcwSAENx7qS35d7Px2rIRQ78mVXfsSuBeXDzB1+PokJ3G6ldf0LU51Y6VkZf4PDqNfJkLbsTwbaNA2jtU/JOjQlWMUQX8jj9+YyBarZZ3vtmAubFFBVhWfn78dgWFZ/6g44wFtGkeoBMbqgtxEZnkrrxBplxCi5mta4SjUVykYs+hSDaFJHC+SIEZEvo6WfFqt3o0CXTWtXk6QwhB98XHaehiyQ+vPFjxXNfoHaRKplo7SGlhsKoXFGWBhQtMPA4WlZMF8ig0SVFED+iLgbUpdfedL5URqGmo1WpGrN/FdVsHTrZvjIONta5NqpaotRrmXD/Gr2ky1FJz2piksqFVT0yeUj9JCEFCUiR7/lxHQXIqSo0SSWgiBo3daNf7Jdo17VnuPm+EX+T40S0UH70JwJu/bUNuoJvBuKhYwaKJ41GZWjNvyXfVZjmpqslILSD6m8sIwOu/zbB3NNe1SeUmKiKTDQfD2R6fQboQNJDLGRbgwot9fLC2qsIH02rAxZhMhi47y/rXW9OufvWMQdU7SJVMtXWQok/ChhFgYFQSjO0SBKa6i3Eo3LmC2FmLcXihNfafr9WZHc/C/I07+MHBg2WGSgZ21AtlPo4sRSFTrhzkWJErTpJMDrbtgJPxkw96WTnprF05j4KrkRgXlzgNSrlAqhVoLAwxyi6pgj7i2x9wdfZ8oj7TMpNYtXwO0qtJABTby3FqFsjE1z4u38lVMHt2H+bOr9/g9OJkRr7cX6e26IKiAiWXF57HWimwmNCIuvVqdjyWSqnm0NFoNlyM53RBEYZAT3tLXunkRasWrs+FE/z2plAux2bx5/8FI5VWr+Dsv9E7SJVMtXSQok+WxBs5+sOrWyo9GPtJSX1rMBkHb+P5w8eYdBuma3PKhaKwiNb7z9C6KI/l+qW1cvHDnWN8dk+OqShgV4tAAqwfvuwQlXCbP49uJjUyAmVqFiZZWkQTVzwDmtC2eU88XH3QaDXIpDJu3bnIvo/mYdG7GRPHPd7BOXVoK+d/Xo3KQItl50BGjHgXGwu7ijzVp0YIwadvTkebncqbP/6EjeXzE/SvVms5vvAsHnkaFEPr06i5q65NqlAS4rPZuC+cbdHpJIp/tLTWvtaKzr61M7A7p1BFq/mHeau7D28E19e1OQ9F7yBVMtXOQUq4DGv6legTTb8JVm66tqgUUVRATJ82aArVeKxYjmGTTro26YlZuWMv71u5ss/ZlKYNfXVtTo1jz70bTLqdjgTBTw0d6V2nbKxNXMJdLl49StjGXchVEgqsQIqUhv37MHTAGw/td+7rfRESwX++WoO95cOXj7VaLV+PGAhArwXzaFQNA8hv34lg90dvo23ak5mzpunanCpBq9Vy+NtL+KYUk9ytDm161NO1SZWGMquY/QvPEuZmwo8JGUgk8F6fhoxt74m8lhUuXnsmhk923+LM7K44WlTfpUW9g1TJVCsH6eZ22Dy25P8N+sPQNSCrXvE+yuuniX99AupCLabeVhi6OWPkXR/DhkEYBrbDoE69B4tS6pDsnFw6HLtCUH4Ov71ae0UvK5trWUkMvnKdYmHGoJDtuBanYu/mQcqdMExjC5EKCcWWUl779HtcnOo+UZ97Dv/KnZ9+B0BV1xIhBJqsfITQ8uq8r/B2a0CxooivvpyC8bV0nAcH8+rwdyrxLJ+Nrz/9EsWNU/T/+Fsa+T7ZNajJHF4dSoOwPMKa2tLt5dodoJ7+6y2Usbk4v90crZGMj3ff4pezsViZyFn6ajPa1rOrdjpBT4MQgj7fnsTTzoxlo6rfg8i/0TtIlYzOHaQz30NBOqiK4NJK8OwAr2wqiT2qpmgyU8iYN43i8GiUaQWo8v4pVyIzEhjaGWHoYothXXeMfBpiGNACw8ZtkZiUjV8RQqDNz0eTEocmJQFN6j006SloMtMQBXlYvjQSeeCzK1tP/nUbBxxc+bNhHTzruj9zf88zKcX59Dl0nFRjRwYc2kj92DAKHeU4NW1E+24v4lenEQYG5XPqP541DJFViNrCAIlEihYtNnFqChpY0m/EG+z5eiFm2QLHgR0Y9eqsSjqziiEnJ5cf3nidIgdvPvn681oxYD6MkzvD8Dqbyg1PU3pPrt4D6bNSdCOdjHW3sX2lAaaBJctqQgguxWbx342h3MsuopmHNZM716N7Q6dqG7PzJITGZ/PCj6dZM64lwX7VW2Ff7yBVMjpzkDQqOPQhnFvyz2ft34Lg2SA3qTo7KgBtXhbK62dQ3ryCMuIOitgElMlZKDOUaFV/13kTyC0lGFgaoy1SoylUoykWCO39NxKJVJTWhbPrFYDd3BVILZ8u1uSnPYeZY2rPZ4XpjO/X/WlPUc+/KFKraXT4IobKYnY1ssXHO6jCj7Hipw/IORyCFAnFJoLgaVNp36JvhR+nMti4bgv3/lhDvXGzeKF3B12bUylcPhGL7d5Ywmzl9Hyn9WODlsPDwxkzZgzp6elYWVmxZs0aAgLun3FauXIlCxYsQKvV0rVrV5YsWYJcLufs2bNMmTIFAJVKRYcOHfjuu+8wMjLi2LFj9OnTBz+/f0qZnD17FhOTirmPaovVJH91GUM3c+xG+9/n9Gq1gj/DUll2PJKLMVnUdzRnYidvXmhSB8NqqgH1KGZuucapiHROzOiCrJo7enoHqZLRyQVW5MOvL0BiKHT9ABoOgLykktmjSuZZb1QxMTGMHTuWkJAQvLy8CA0NLd3nQTeqExtXI7sbgvLONZRRkagzs5CZmyCzskBmbY3Mxg6ZvSMyexdkDq7InD2Q2rmiLSwm/cPJZB6+htxMguPUsViMmfFET+SiuBBN2j2KVCqCwnIoNjTiY1k4d9UGtLexYFDz8qeV6ynLqB17OWTlylxDBZPbt66UY4RHX+Pgod8YPHDKE2e5VQe0Gg2fTZ6CUq1m9rJlmBpVfy2g8nDnWgqS9WHcM5XSfmYbjIweL//QtWtXRo8ezdixY9myZQsLFy7k4sWLZdpER0fTvn17rly5gpOTE4MGDaJXr15MnTqVwsJC5HI5crkcrVbLkCFD6NSpE9OnT+fYsWP897//LXMvqkiytodTGJKG09vNMbB+9Mz+5dhMlh6L4vDtFJwtjfmgf0P6B9acoPV8hZpWnx1mUqd6vNW9+hey1tkEh3hOyMnJEYDIycmpmgNqNEIs7yzER5ZCRJ+smmP+iy5duojVq1cLIYTYvHmzaNGixX1toqKihIuLi0hKShJarVYMGDBA/PDDD0IIITIyMsTJkyfF7t27RVBQUJn9/vzzz/s+e1aKr5wQsX1biFt+DURsv1ZCHXvrke1VCZEiukuguOXXQIQGNBZBWw4Ip6MhZV5zDm4UOXmZFWrn80ZEYpJwOhoifPae1rUp1ZIL5y6LL4f1E9/88IuuTalQ4mOyROis4+L0BydEbk7xE+2TkpIiLCwshEqlEkIIodVqhZOTkwgPDy/T7osvvhCTJk0qfb9nzx7Rvn37+/orKioSvXr1El9//bUQonLuO39THJ0t4meeEHmn75Vrv7vJuWLSL5dE3Zm7xYS1F4VSrakU+yqa387FCq9Zu0VidqGuTXkiqnz8/ouaNy9YU7j4EySGlCylVcGM0b9JTU3l0qVLjBw5EoAhQ4YQHx9PREREmXZbtmxh4MCBODs7I5FImDx5Mhs2bADA1taWDh06YFZFtcuMmnbE/Y/zuM0aTXF8DtFDBqM4teOBbZU3LxIzuD/KTAVWzZyxcoATPqbsddcQ2b4h8e38mCuN4FdJXfzPR/LGvo3kFmRXyXnUNr65GALABEt9FfsH0bJ1MzTezcg7vYuYpHRdm1MhZGUWkrDiGloJ1JsShIXlk8VJxsfH4+LigoFByW9FIpHg4eFBXFxcmXZxcXHUrftPYLunp2eZNjExMQQFBWFvb4+VlRVvvPFPdmRkZCTNmjWjZcuWLFmyhIpAqLVkbQ3H0MMCszYu5drXx8mCpSOb8XILdw7eSmH4inMVYlNls/FiHF38HHGxqllhHlWN3kGqDBR5cPbHkgy14CoONlUVE3/7coXcqB5FZdyoJFIpFmNn47lpE1IjQ2ImzyRv9adl2hSf+oPIIaNR5Qo81yzHdf2feP55DcvADjSr3xwzQyPkRiZM7vwSZ5q646LOYptxAyJjr1WIjc8b/23dHPOiAlZkKVCrlLo2p1oy+j9vINeq+PnHlbo25ZkpKlIR+u1lrDRgNdofJ9eqT2jx9PTk6tWrJCcno1Ao2LZtGwDNmjUjISGBK1eusH37dpYtW8amTZue+Xi5f8ajzizG5kUfJE8RiyORSJjQyQuAy7FZXInLQq3RPmYv3XHjXg7XEnIY3spD16ZUe/QOUkUTth++aQy596DNw3VhKhStBs4tg+1TYFVP+G0oZEbB1gmQFVPhh6usG9XfGPoFUnfPMUx9HUhYuI70Wa8gtFoK1i8kdsq7GDvK8Nm3GcMmj85823P1T+INHXhddYsmDco/ixceHk67du3w9fWlZcuW3Lx584HtVq5ciY+PD/Xq1WPChAmoVCoAjh49SqtWrfD39ycgIIAZM2ag1f5z41y0aBGNGjXC39+fwYMHk52dXW4bKxuhVoMEJFIJkudAVfhpcHZ1xr5tTywizvDnxTu6NuepUau1HPv6InUVAvVgb7wblK/shLu7O0lJSajVJcrpQgji4uLw8Cg7EHt4eBAbG1v6PiYm5r42AObm5gwfPpzffvsNAEtLS6ysrABwc3NjxIgRnDx5slw2/i+q5ALyjsVj0dkNufPTz5bXsTbFz6mkRuCLS87Q5ONDNPn4IONWX6D/9ydZsuxbZq47hqoaOE4/n4zCyEBKF7/aKX5ZkejveBXNuSUlmWtj94Bn+8o9llYDv4+Cj21h/0y4tQMKMnDv81+SCkB99Xc4/sUz36j+l8q4Uf0vMitb3DYfx65fU9J2hBDbLYi4j1djUtcGj51/YuDV6JH7Z2Yn8yENGa2N4pPuw59qcJ80aRITJ07k7t27zJw5k7Fjx97XJjo6mjlz5nDy5EkiIiJISUlhxYoVANjY2LBx40Zu3brF5cuXOXPmDL/88gsAhw4dYvXq1Zw9e5Zbt27RvHlz3n///XLbWJkoFApeuBwGQvBbQF1kT1mj7Xng1Qlj0Riasn/l8mo9e/AwhBDs+/ESAblq0jq70rh1+YVrHR0dadasGevWrQNg69atuLm5Ub9+WYXmIUOGsGvXLpKTkxFCsGzZMoYPHw5ARERE6QOGUqlk+/btBAYGApCUlFT6gJGXl8fu3btp2rTp05+zRpC5+S4GdiZYdnm22RQTQxkHpnci/LM+bHujHa+28aBHQydkUimdNBd5I/lDFkYMIjmn+JmO86yk5hazIzQRhVqLQS0TvawM9FeoIhECinNAmQ/WVTB9efRTuP0HtJ4MIzbC+0nw9k0c7W1p5ihYd00FrSc/1Y3qUVT0jephSGQyHL/aQJ3/ewVllgr7QS1x33ESmc3jn3x+uXEJCTC5YeOnco4qIo6radOmeHt7A2BsbEyTJk2IiYkB4OrVq3To0AELi5Knzr59+/Lrr7+W287K5INDx0m3sOE7L0da6nWlHomxqSmtXh6LY1Y4qzbu07U55Wbf2ms0TVIQE2hL6z5PX3Ji+fLlLF++HF9fXxYsWMDq1asBeP3119m1axcA3t7ezJs3j/bt21O/fn0cHByYNGkSUDLr2rRpU4KCgmjatClOTk7MmTMHKHG4GjduTFBQEG3atKFHjx6MGzfuqW3NO5mAKjEf26G+SOQVMxTKZVKaedgwu09DFg0N4ucxLZgx6TXUJva8qJjLx7tvcS0hu0KO9TR8uuc2AD++0kxnNtQoqjQkXIdUehR8wiUhlnUqyVr7op4Q6RGVc5y/OfFVybFOfXP/tr0zxJ2pZqJNk4bCx8dHNG/eXFy7dk0IIcT48ePFzp07S5uuWLFCeHt7C29vb/Haa68JpVIphBCioKBA1KlTR9jb2wu5XC7q1KkjZs2aJYQQ4vvvvxf+/v4iMDBQ+Pv7i48++khotdpKPV2t5smzQ5TFBaL+wVNizr6nzyy6dOmS8PX1LfNZy5YtxZEjR8p8Nm3aNDF//vzS9zdv3hTu7u739ZeUlCScnJzExYsXhRBCHD16VHh5eZVmEL799tsCEBkZGU9tc0UTuOOIcDoaIgoKa0ami67RarVi/rQ3xZyRr4qUzDxdm/PEHN5xW8TOPC6O/nhJ16ZUGcrkfBH/3kmRtTeqyo656lSUqDtzt6g7c7fosfhYlWe8abVaETj3gPjm0N0qPW5FoKssNv2ceUUQfwF+fREsnEvUsX16Vm4ZjqRr8Of8EsHJ9m/983lxLtzdDxbO+LlYcPY1Exi3D8z/UUn9+eefy3Q1YcIEJkyYcN8hTE1NSUhIeODhp02bxrRpVVuDqjyzQNtDjpBn4M6Lfq0q0aInJzc3lwEDBjBjxgxatGgBQJcuXXjnnXfo378/MpmMwYMHA5QG1lcH7BSFpGBLTHYO/hUkxlebkUgkvPyfN9k6ZzrLflzFhx+8qWuTHsvZEzF4nk0l0taQzpMqfha4OiI0gswt4RjYGmPVverKxIxr70UXP0dmbLnGhZhMBv1wmnmDAmhR16ZKlNjT8hTkFKlo4GJR6ceqLeiX2CqC3W+DMg9aTYR63Uo+u7kdVveFHW9A5NGSuKSn5fIaWNIOLvwERz+Dn7uBY0PoNKNsuzPfwbYJcHguqAohIwLS7z79cWsgB6+f4M0idwYowglyf/pitX8HnN6+fbs0UDskJASFQlGm3d9xXH8Hanfr1g2lUlkaR5GXl0fTpk2Jiorixx9/LBPEPXnyZIKDgykoKGDp0qWYmppibFw9CkZm5eVxy6EkDsXfxVmntjxrsHxMTAzBwcFYWVnRpEmTMvtotVreeecdGjVqRIMGDRg/fjxK5dNn63n71sO0aTCGN45y8XrUU/dTFdy4mozV3jgSTWV0eKsF0uckJiX/VAKqhDxsKnBp7UnxtDdj0+S2/DGtA/kGl3jteGcC1zbjpxOV/1s5eCsFgIbO1aBYew3h+fiLqGwGLwO/frDvXfiheYlj9Hcx2vjz8OtgmO8K3zWDNf1hzzslzs6JL2F1P1jSFn4bBpvHlWz783M4vwJubIWrGwlf+ybtPr+Ab5/JtBz1ITddh8P4g2BUtubZyjBLfJZpqfddHhN2FaHSiFINpocNHqtXr6ZJkyalL3t7e1588cWqvHoVxq2oUN5Khm7F4Szr/sIzPZX9HXD64osvMnHiRObPn4+HhwcffvhhmXZDhgxh27ZtvP/++5w4cYIWLVrg4ODAihUryM/PJzg4mLS0NG7evHlfEPfixYu5cuUKp06dwtfXl6CgIL799ttnugYVxcaQ6wAE56cBILRaFIUFOrHlWYPlLS0t+fTTT1m/fv19+61cuZIrV65w5coVbt++jVQqfebvYOzUiWgNjNi2fAlabfUsVBATk4Vy413y5RKavdUC+ROoZNcGVKmF5ByKxbxjHYw8dOcoNHaz4ucRA0reFPrx2d7bZOQrHr3TMxIan03jOlZ42JlW6nFqFVW6oKdDqmQNM+maEBtHCvFlAyFubBdCqy15xV8U4uxSIfa/J8Tvo4X4obUQ8+yE+NRFiA2vCLH7bSHWDxdiTX8hlrQv2f9j+5IYo48sRZcAJ7H6qw+F+MhSbP5swmNVsfMzM0UbH1cxooWfyLhx6pGK2f9LQECA2LJlS+Vdo0ri6IUdwuloiGhw8IRIySifGu7DOH36tJDJZKJ+/fqiefPm4urVq8LJyUkMHTq0TBzXkCFDhIWFRWkc186dO0X79u3Fp59+KqRSqbCzsxNBQUEiKChIjBo1qlQ12NbWVjg4OIj69euLefPmiS1btojGjRtXiO3/JqqgWAy8fFe0OnNTXMsteGz71MxM4XbgvGi145AIvXVTHFm1TCyZ8KpYPGKgSI+Pq3D7HkVFqjM/SIl56tSp4rPPPit9v3Xr1gr5DnZu3im+HNZPrNt68Jn7qmhS0/LFqfeOi9DZx0VaYq6uzakytBqtSPkxRCQtuii0SrWuzSnlcmymqDtzt/ho541KPc4rP50VU9bVzDgzfQxSbcC5Mbz8gEwktxYlr3+j1QICpLIH9yUEFKSTemU3lxa/xcE354DBPIYIwbTvXIiIiCiTlfZ3NlVubCS/Lf6cIA8vDly9RcShTRxM1NCrfVOc7O1LM63mz5/P1KlTyxzy/PnzpKamMnDgwGe8EFVLgaKIdzLNaK2NYWXbtthbO1VIv0ZGRtSrV4+wsLDSzzw8PJg8eTJdu3Yt/czFxYXZs2cze/ZsAG7dukVcXBzvv/8+ycnJuLq6ltnWu3dvAL788kuWL1/OwYMHMTExYdSoUaVZbhVBoUbLp5GJrEvMwFAqIV+jpcelu2xvWp+21uYP3Eej0fDSniOoXbzofWgTh9cnYm5ji0+rtlw9tI9tC+bywrsfYO3iitzwyRSWn4VHqTP/+/f/tKKnzZs3Z/ny5UybNg0TExM2bdpUId/BgCED+OzIfsJ2/EJ2z/ZYm1ePp/b8AiVXv7+CmwbMXgvA/jmKR8k/dQ9lfB4OkwKRyB9y39UBdmYlNfzWnInBx8mcV1tXfFzU8btpnI7I4I3gehXed21Gv8SmK6TShztHUBLkbe5AvFlguVSxi/PyAKjv60duUSEnz0ayf/tuUsIiubZmHvDwwWPlypWMGjUKuVz+dOdUnAM7p8H6l+HcUki5VeLoVTIfndpHpsyMbwIbVphzVBWMHTuW3r1707lzZzp37oyvr2+FBWlrhWDKrRg2JGXyjpczoe0CONemIfVNjRgcEsHRjNz79hFCsDoijrA69Wl7+RgdmzSh/39nMf67n+n++lRGL/oBqUzKLzP+w/JJo8lKTqwQW3VJZX0HEomEwW/8BwtFNsuXrK0AS58dpUrDucUX8VYIxIv1cfe107VJVYYqrZCcg7GYt6+DkaeVrs0pQ107M7ZMbgvA8bC0Cu8/IjWPMasuADCpk95BKg/6GaRaRp0GAcgMDMjKzMDE3JK+Q3tztVhJenQc2cn3HrpfQUEBGzdu5Ny5p6wllBgKm8dAYRa4BMKhD0GjBHMn8OoM3p3BOxisyi9A9yh2Xz3OOqk3XxmE41WnbYX2/W9lYAMDg0cKbkZGRlJcXMzdu3e5ePEiVlZWbNu2Da1Wy507dxBCIJFIyohxSiQS5s6dy9y5cwHYuHEjAQEBz2Tzhex81iRmkKZUcSorn18ae9HDvmRAMDeQ8Un9Ooy4FsXC6CSCbS2QSiScyspjXWIGl3ILSChW4W1kwFdT38DLrGzmmoOHJ69+9jXRIRfZ+8NXxF4Nwca5ciuYl/c7+JsnFT2tjO/gbwIaN+RgQAeKrxzkXtIQ6rg4Pn6nSiI1t5j5Sy7wToEEkODVtOY8SDwrQivI2hKOgZUhlj2rLmvtSckqUPJ/m69ibSpnciXM8Kw/H4+hTMqeNztgZfqUD7/PKXoHqZpT3gFix6KPMTAywq9jTzwT0vEKfgEWLyGroAhbt5Kbw4MGj82bNxMQEIC/v3/5DCzOLcmeO/1dSWbdqB1g6wWqIog7B1HHSl7XNwMC7Or/5TAFg1dHMLF5yisDao2WeSlquqvu8EqfYU/dz8P4tzLw2LFjHym42bp1a8zNzTEzM2Pjxo34+vqSlpaGoaEh27Ztw8HBgZdeeqmMGGdxcTFFRUXY2NiQnp7OggUL+OSTT57a3oRiJcOvRVH4l5Lz575upc7R3wTbWjC3nivzIhPpcSkMpVYQXqjA38yYLraWdLezpKed5UMD3I3NzWnQvjMnflvN3fOnSz6zsMC5ni+x10LQajX4d+yCkWnFFDkuz3fQoUMH5s6di5OT0xOLnlb0d/C/vDh+HJvePsXB3QcYN2FUhfVbXladjuFYURGTevphcSiegiupmLcuX2HWmkr+mUSUcbk4TAxEalh9ltb+5kR4GrEZhRyc3glfp4pd8ixWadgWksC49p74VHDfzwN6B6maU94BosXYERQnJbJu02ZeHvoSu2ePws3Gmb03zmPfc8JDFbNXrlzJ+PHjy2dcwmVYP6xEObzt1JLCvAZ/xaXITaBel5IXQGEmxJz8y2H6Ey6tBIkUXJr8M7vk3gbkT57mvinkCPFyB3520VZanbDly5czduxY5s+fj6WlZRll4IEDBzJw4EC8vb1p06YNq1atwtzcnHbt2rF69Wo0Gg0rVqwgODiYVatWsWHDBnr37l2qGpyTk0NwcDBSqRStVstbb73FgAEDntrWTyITsZTJ+LOlH9YGMqzk9/95SyQSJns44mZsyPbULHLVGoY62zLVwxHZE2b9SaRSek35L3u+/5L4m/cXAT7+60o6vTKWJr36I5U9+4D0pN/B3+rMAMHBwaXXubCwEF9fXxQKBTk5Obi5uTFq1Cg+//zzCv8O/pe6dRzJs68HhzdxtkkT2rZsXGF9l4fknCLqOVvQsKsn6XEF5J9JxKyVc5Xo7+gSVXoRuQdiMG/ripFX9VpaA9BoBW9tDAWocOcI4MDNZLILVbzcUq+E/zRIhKiCIJFqQG5uLlZWVuTk5GBpWbN0IMLCwhg7diwZGRmlA0Tjxo3LDBAAP/30E3M/eB9FQQG9+/fn6w/e4pdP5gNg0XUAC7/4AigZPJYtW1YaaxQWFkaLFi1ITEwsLX3xROydAVd+gf9cBqs65Tup7DiIOl7iMEUfh4I0MDAG99YlzpJ3MLgEPTROq6C4gKBTV+msimdln5fLd+xK4MyZMxw8eBB/f3+GDRtGcnIyGzduRKlU0q5dOwIDAyv1d3chO59BIRF84efGKNfyFRl9Wgpzc7gXdgtza1sUBfmY29mTn5nB1vklUggejZvw0nsfP9dFbnPyClg8dTKWiiw0jbsw44P/04kdP5+MYtGBMK5+1BNJQj5py69h+0oDTANrb8FSoRWkrbiGJleJ03+bVcvZo/R8BS0+PQzA5sltaelpW6H9v7z8LBIJbJxYseEHVY2uxm+9g1TL+OPrBaTFRvHaNyUaMH/OG8vV26m8tWFPxT4tKvJgRZcS9fCxu5+tLyEg9dY/y3Exp0FVAMbWJctw3sHg3QVsvUEiQatR896Rrfwm8+aMvzXuLj7Pfj7PyNGjRzlx4gR9+vQhNzeXs2fPIoRg9+7d5OTkYGVlxZo1ax4Y37Jy5UoWLFiAVqula9euLFmypNR5fdi2vwUO9+/fDzIZCYYmtJgzn0ODuj3xTFBlkZ2cxNE1y4kOucTAt9/Dp3U7ndqjS775cimai3sA0DRozzsfzUSqA4fxVmIufb87ycaJbWjjbUf6mpuokgtwert5tXQcKoK80/fI+SMKh4mNMfK21rU5D+Wbw3f55nA4AJM712NiJ29s/8psexai0vLp+tVxvh3ehEFNyvkAW83Q1fhdrr/UpUuXlj4JW1pa0rZtW/btKynMGBMTg0QieeBr8+bND+3zYfssWrSotI2np+d92xcsWPCUp1w7KczNYenEkdw9d4qgHn1LP78bkYpGSCt+Kv3YAsgIh36Ln70viQScAkqW6V7dDDNjYNz+kiK8BemwbyZ83wy+bgQ7prJy22esNfDhA8OEauEcAaV/tPv27ePcuXMEBwdz7Ngxpk6d+tQCh1Hh4Q/dtmvXLk6fPs3BC5ew+3kTZs3aYPrrMp07RwDWzi74dyxZWi3IydatMTrG1cuTAntvlPVaIbtzmi/nf4P6rxixiiC3WEVIXBY7Q+9x4m4aWQUPVgE3+ksxWqEuObZ1f280+UpydkchqqmY5bOgzigid38MZm1dqrVzBPDf7r78NLpEBubqhp2Edu5GRGreM/e78WI8NqZyegXoVgm/JlOuGCQ3NzcWLFiAj48PQgjWrl3LoEGDCAkJoUGDBiQlJZVpv2LFChYtWkSfPn0e2uf/7rNv3z7Gjx/PkCFDynz+8ccfl6kZVq6loNpM5FFID+fSXRmFOdkgkdCszz86Rk62BuQnazn84Wg6Tv8CI5sK+GO58guc/QHavQkOT1/O46EYGELdtiWvLrNLZqtiz5Quye2oM5U+2ntM6ji44o/9lDRp0oS0tJIU3ebNmwNw+fJlDh06BJTEiE2bNu2h+lXOziXfy98aVeO792BZ9250lsoofOMNFJ9/Xka/SiKRoFAoeO3KHXKlhgwwN8Dc4vFZW1VF+PkzmFhaEditl65N0SnDhvSBIX347qslqCJBdv0osyZH88HXCx+rjSSEQKMVqLUCqUSCoUGJk5NTpOL43TR2htzj+N001P9ycAykEro2cCTQzQp3W1NsTA25Gp/NxovxWJvKaVynJA7HwN4Em4H1ydoWjiZHgfXAehjY1Z56e7lH45GayrHq7aVrU56IHv5ORH/elzsN3wHg/JCR7J/3JVO71KdYpWXt2RiauFvTxvvJpBkUag1bLifwYjM3jKuR5lNNo1wO0v8GL3722WcsXbqUc+fOERAQUHqT/5vt27czbNgwzM0fLEoH3LfPzp076dKlC97e3mU+t7CwuK/tc41GDelh8PsoUObTztaPMAt38gvVXN22iqAXxpB18yTGpqZAPlfDMnH5YyUBo99/tuNe+QV2/Qdavg49Pq6QU3ksRhbg2wt8e5GhVHPl9A0W+1avKWMDA4MyDwKXL18ut8Ch0GiwjYgk+uo14saMIdnAAHcLCxS3blMUEopnYONS/aoBAwbw9c49HOrVHltLSwzc3Dh+/HgVnvGj8WzanLsXzpCdkoyta/X6rqqatIxsVBf2UmBgjpk6H5fcaCIj42ge1OCB7a/EZfHetuuEpeSVyojJZZLSIN7bSbloBTT1sGZOf3+a17Whrp0p6flKjoel8se1JFaeiiarsKSckJmhjO7+Tkzv7ltm6caslTNSK0OyNoWRvOgSRr42WPf1wsDJtEYHbwu1lqKbGZi3c0FqVHOcA4lEgs/pU8SMe42tdp25cvAuiw/d5d8TfB8PCqBvYxeSc4qpa2eKhfGD0/YP3Uohs0DJiFb64Oxn4amz2DQaDZs3b6agoIC2be8PALt8+TKhoaH8+OOPT9xnSkoKe/bsYe3a+4XV/k6/9fDw4JVXXmH69OmPFHRTKBRlCovm5t4vjFejOfoJnP6m5P/mThi4NeG13N0cinPlyOYdHN+yDbWQYi5X0byRK3WbtaNurzFPfzy1Ak5/C39+VuIc9f2yZGmsitmUnIlMAt3srav82JWFEAJ1WhrpS5eStnoNQqPG6oUXsAi/i7WnJ/y2HolB2Rv9+uOnOHv1Kh+eDeGjQF9mzZrF5MmTWbdunW5O4n9o2D6YUxt+4drhfQSPfl3X5ugUk79mftx6v0yXjq0wMJDh7nb/w16+Qs3ig3dZezaGRnWs+HhQI4wNpMhlUnKKVNxJzkWjFYxp60nbena425adgbIwluNl78XY9iWzJrnFKnIKVThYGD10FsHEzxajma0ovplB9t5oUr65goG9CRZd3DFt4ohEVjMcJXVmMcVhmRRHZFN8KwMEmDSqmmSFisTAzo76u3byQ3YR56IyKFRqCEvOY9+NJMyMDPhw500+3PlPseYGzha0r2/Pf7v7lHGWNlyIo6WnDfUd9Sstz0K5HaTr16/Ttm1biouLMTc3Z/v27Q/Uzlm5ciUNGzakXbsnD9Bcu3YtFhYW9xVLffPNN2nWrBm2tracOXOG2bNnk5SUxOLFD49/+fzzz5k3b96Tn1hNQ/GXw/fSKqjfA4wtkXWKoHfoOhpkyom8fgPXwDb49H8dA5Nn0KTJT4Ob2+H8UsiKhY7vQNcPdOIcFWq0/BiXysvOtjgaVW/BsyfVrzI7epSr9xIJ/6WkRE12ixZ4JyXiNGsmnosWcfvoUQCSPphDxJwP8PDwQAjBxG+XYNeiDR8G+SGVSBgzZgw9e/as8vN8GAaGhhiZmSO0FRdvU1NJzy0p8mtqbIiX54Nn08KS85i2/gqJ2UW83cOXiZ28kcueLZjb0liO5UNmGP6N1FCGaVNHjAPsUERmU3AphazNd8k7Fo9FZ3cMPS0xsDVGIq1+zpIQgtwDMeQdSwCpBEMPC8zauCA1MUDuUjFaXLrA1dqEF5v9I6r7yQuNgJLA640XS4Qf7cwNWXY8kpWnoll5KpqtU9rRvK4NsRkFnI7IYPGwIF2ZX2sot4Pk5+dHaGgoOTk5bNmyhTFjxnD8+PEyTlJRURHr169nzpw55ep71apVvPrqqxgbl9XCefvtt0v/HxgYiKGhIZMmTeLzzz/HyOjB9aBmz55dZr/c3Fzc3WvRdKP/C3BpFWx5Dex8QF0MRpbQ6nU8u7+GZ0XoJh6eVzJLJZGCTy8Yvr5EDFIHFGm0jL0eRaZKzUR33SkSPylPql/VtaiYkfn5TDMwoOnyZcz49NNSjaoXX3iBtrPfY6ynJ3UaN+KndesYPnw4cyMSkbnWwSDkPBqVCpmhIbt376ZRo0a6ONUHolYqyUpMoHHX6uO06Ypz568C4FPvwSrOv1+IY/b263jZm7FzWgfqOz48JKEykRrKMGloh0lDO5QJeeQejiNry10AJHIp5h3qYGBrDAZSDGyMkJrJkVkYIjXWjZyeUGvJ2R9D/ql7WPby/GtJrXZL+3k7mPNe33/uwePaezFr6zU2XoxnyNIzbJ3SjsO3U7A0NqBv4+dDCLQyKfevydDQsPQm37x5cy5evMi3337L8uXLS9ts2bKFwsJCRo8e/cT9njx5krCwMH7//ffHtm3dujVqtZqYmBj8/Pwe2MbIyOihzlOtoE5zaPIqyAzB0KxEQygxBHa/DQ36g/kzOhEh6+DUYug8sySbzLRi9TnKS2heISey8lng64af2ZOLSeqSJxE47BEZwTQXV169G4Z85EiCu3YtFTg027CBafb2jExMRC60BAcHM3HiRDxP38J00Mv0VOYQFBSEXC7H2dmZZcuW6fJ0y5AaEwWApX3t1dl5UoICGxC11Yjdiz8jasg4hg7uSaFCybJvV5B/7TRmqjxebjuKedP6lAZi6xpDNwvsxwagyVOiSimg+FYmeScSQHN/xpvUwhC5syk2L/liYFU191xFdA5Z28JRZxRj1d8biw7Pb5zbgiGBjG7rydBlZxiy9AwAY9t56oOzK4Bn1kHq2rUrHh4erFmzpvSz4OBg7O3t2bJlyxP3M3bsWG7cuMGlS5ce2/a3335j9OjRpKenY2PzZKUqngsdpIJ0+L45OPrDqO3lUqUuw73LsKo3BI2AAd/qZDntfynQaGh06ibTPZ14s27tqSMlhOBOw39mX7337sHI25uimzeJGfISAGYdOuDx808ARBQW0/nCHVyNDLnYtpxlYaqQnNQUVr41AY9GQbz0fsWV7qip3A2PYcM3X2OeHkmOU0PURmbYxV1CY2iGTFnAoNnzqN+kua7NfCxCKxBqLer0IkSxGnWOEnVaIQUXkxFKLdYDvDFt7lRpQd7aQhU5+2MouJCMoYcFNi/6IHeuuUtpFUmxSsO+G0n8cTWJjwb4U9eu9lwXXY3f5ZpBmj17Nn369MHDw4O8vDzWr1/PsWPHOHDgQGmbiIgITpw4wd69ex/YR4MGDfj8888ZPPifFO3c3Fw2b97MV199dV/7s2fPcv78ebp06YKFhQVnz55l+vTpjBw58omdo+cGM3vo9A4c/AD+eBNeWPpQJeqHkpMAvw4GBz+dBWI/CDOZjO52lvyRml2rHCSJRILM2hpNdjaWAwdg4OBA8d27xAx5CaMGDXD74Xtk1iW/cyEEr12PQStge9P6j+lZt1g5OmHr6kbstRCEtvJKwdQUfH08mfP912zYsJOiA1uwUuRQZGyNj5cb6fGxeDWqGfEiEqkEiaEMQ9eSZcC/54ssOtQhe3cUWVvCyT0Sh1krZ0wC7DGwN6mw2KWiG+lk7YhAqLRYD6qHWWuXahkXpSuM5TIGN3VjcNOKLQj+PFMuByk1NZXRo0eTlJSElZUVgYGBHDhwgB49epS2WbVqFW5ubg8NGA0LCyMnJ6fMZxs3bkQIwYgRI+5rb2RkxMaNG5k7dy4KhQIvLy+mT59eJr5Iz79o8ipc/Bmu/Q4ZETDwB3B6wpkGIWDbpJJlu5HbS/SIqhEDHK2ZeDOGmCIFnia1Z/lU7u6OcWBj6nzxBVqFgvjJkwFw/nAOhm7/3Ox+SczgbmExAx2tcTOuXt/Ng3DxaUBGQhybP3mfpn0G4FLfDxNLK2SPyD6tzUilUl59dTDilRe4G5XAlXVLSI+NZtA7H9T4ayI1lWM7zA+z1i4UnE8i72g8uQdiQQpyRzOMfKwx9rXB0L0kq0piJCvXLFPBpRSyttzF2N8Om0H1kFXRUp6e5xt9qZHaSty5Er2izGh4aSX4D3r8Pn9rHL2yqUR3qJpRssx2g7c9nflPLZlFKjh/gbgxY7Ds25c6i78i4c23yDt4EIAG168hkf+ThTQnPIGfE9K5FxyEtJrM7D0KIQR3Th/n8M9LUBYVAiAzMCCwRx86jxyPEIKc1GQs7R2QG9WMuLKKZPmUMTQK7k77l0fp2pQKR6vUoIjKQZNVjDIhn+K7WWjz/lH5lhjLMKpriXn7Ohj7PnolQGi0JH5yDpOGdtgM863RGk16no4ascSmpwbh0QYmnYSvfOGP/5Zkof1vTJJGBbK/BuDbf8DedyHgRfCpnplHZjIZ3ews2ZWaXWscpLS/pCpk9nak//RTqXMEUHjxImb/ksmQS6RIJSVxsjVhZUEikdCwQzANOwSTmXiPrKQEUmOiOLf1d2KvhZKTkoRGrcbevS4D3p5NfmYGqTFRNO7aEyPT2hM/odVqEFotMoN/nF2Vopj8rEykNXzm6GFIDWWYNPgnsUMIgTqlEGVSARJpiW5R0a1M0lfdwNjfDuv+3iUZcg9AmZCPKNZg1tZF7xzpqVL0M0i1mdANsGNyiU7SK7//E49UnAMbXy2ZZdKq/mlftwO8uqkkK66asictm/E3YhjgYM183zo4GFZvPaTHoS0oILxLV7T/EjL1PXcWpFKk5ualsTsFag0NT934//buPC7qOv8D+Os7M9wwDMeMgCCKXKKiCAV4VqCClm7q7mpuHuvxy7I2NUvdrNRMy3Zda9OslMyzdLNc88gLzQsRGFNTEAQBOeW+YWbevz9YyUFEwBmHgffz8ZjHQ77HZz7ftx9m3ny/nwMTne3xkY9xT1eRqozDleijcHTrBkupDGd3b69fJucew2fPhX9YhGEqqEPn/rMTMd9/C7VaDYeubhg08UV4PREKIsKud99CbkoSBv7pL3jiuXGdrp8W8r7PigAAGr5JREFUEaHq8h2U/HQT6goVZJHdYRnkpDX7NWkIRXuSUHW1AC7vhBrNxJVMtwz1/c0JUkejUQOFN+tnvU7YCgyYAoxeC4j/95dqZSHwzRigKB144q9AVREQ9zXw9N/rJ4Fs5x/SRIRvcwrx+vUMzHPvgrc8jH+uj5rUVNx+fR5kEybA7oVJEMTaHeuzqmuxMDETZ4vLcOJJ3w7V/wqoX2j5RsxZ2Dm7wMrOHl/Pn4PA0X8w+hm4iQhrXxgLz6AQdO8/AMmx55GacBFDJ0/HE2PGo662Bud270Dsvv9g+OxXO+26dZpaNUp+uomKCzmASICJwhIiSwnEUjPU5Vei7nY5ZGN7wjrExdBVZQbCj9jYo6koAE59VJ/sqKrrO1qHLwMG/e33kWglmcD3s4HCNGDGYaBL7/rtz60zVK1bTRAEjJLLsDAxs93Ppt1SZj16wOPHH5rcF1dSgRcv34RYELCxd/cOlxwBgKXUFv2G169jRxoNbBzkiPvpBwQ9Nw7Wdoadf+tRCIIAuXsP3Mm4haemzkTfZ0bi1PYonN71DXoGhcDepSuGTp6OzOtXkXzhbKdNkESmYtg97wWbYW6ovl6IurxKaCrqoCqshtjGFLYz+sLcU2boarJOiO8gdQQFKcCnA+r/PXge4OQPeEcApv9bq6mqCPjln0DMRsDcFvjj10D3QQar7qOKK6nA6PgbOBrkjT42za+IbsxiissxNiEZFiIR4gf6wc6kc/w9k5d2E1vfeg1y9x6wc3KB37Bn0DMw2NDVapPCrNvYuug1+IdF4Omps1BXW4Ov578Mc2tr9AuPREr8BdyMu4BeQ57GqLkLDF1dxtolvoPE2s7GqX45EIUfEP7e79uJAOV24Oel9YvNDn4dGPgqYGbcCxieL6mARADcO+DdlHv9/cZtOJpI8J8Az06THAGAorsHxi9ehgs/7kFSzBlkJScaVYKUfysVl44eQvplJarLy6CqqYGZZX0ib2JqhjHzF+O/a1fhyJf/hqJ7T4TNeBm9nwozcK0ZY411nk/djszUqv6OUU3Z79vyrgP75wHpZ4G+fwJGrKhPpIzc1fIqfJaeiwld7GEj6bhT6efU1OFKeRUW9XAymqVVdKl7/0BIFV0QNe8lqGpqUFtdBVNzC0NX66Hy0m5i5zsLYW5tA8+gYFjbOUDm5AKvJ0Mbjuni4YmZn26CWqUy+vmPGOvI+LezI7i2H0g6BIxcVX/XKGYjcOQdwNYVmPIj4PGUoWuoE7+VVyEsNhHu5qZY0gE6Zzcn6vYdCABedHE0dFUMxs65K0a+9Dcc/eozKA//hCfHTjB0lZpFRPh546eQdXHGC+9//NC5nTg5Yqx9a99DlljzVDX1cxd9OxlwfQLIvgR87A0cegsInAbMOdNhkiMAKFGpAQDZNXU4WVSGjth9bn9eMcJjE7HuVi4CpJZwMO28X6KCIKDP08PhN/QZxB/4Eara2oefZEDqujrk37oJn9AhnXLiS8Y6Gk6QjFnyMeDCF4BIUv9ILekQMOBFYPpBYNRHgEn7fyTRGqEya8SH+iFSbotXr6VjbEIyrpZXGbpaOpNeVYP5iem4Ul6FDX7u7X69tccl6LnxqCgpxvnvvzV0VZolMTVtGLXGGDN+nCAZM++RQJ8JgEYF+I4CXo0Dwt4B3Ac+/Fwj5WJuio29u2NP/54oqlNheGwiliRloqROZeiqtUl+bR1W38zGlF9vYvjFJFiLxUgY6Ifnu9jBrJ3PSfW42Lt0Rej4ibjww27kp6fp/f3UKhXy09OQmnAReWk3W3Wn0jtkMBLPnkJR9m091pAx9jjwMH9jp1HXr7fm2PnuNtRpCF9l5uPjtByYi0R4u6cz/uxkbxTrlAFASmU1/qhMQalKjRCZNTwtzfA39y6dasRaS6lVdfh6wcuwc3LBuMXL9PY+18+ewvGojagq/X1Bbbfe/rBzdoGJuQW6+vrB3sUVNg6OTXYaz0m5ge1L5uGZ6f+HgIjn9FZPxjoTnklbzzpsgsSQU1OH5SlZ+D63CIFSS6zydoV/O58f6UxRGWZfvQV7EzG+7dcTLuamhq5Su5d0/jT+u3Y1Jrz9Ptz79tdp2elXLuHi/r1ITbgI75DBCBj5LKQKBXJSbuDi/r3QqFSoKClGecGdhnPsXFzRa/AwlBcWoDgnC1WlpbiTmQ4LGymmfvwZLKW2Oq0jY50VJ0h6xglSx3e2qBxLbmQisaIaU1wcsMjDuV3cjSlXqbE7twildWqUqdVIqazBwTslGCyzxue9u8OxE3fEbg0iws6lb0Bdp8JfVq3V2dplt6//hl3vvgkH124IGfdn+Awc2uSiqESE8qICFOdko7zgDq6f+wVZ13+DtYMj7F1cYWEjhaObO3oNeapDLbbLmKHxRJGMPaKBdtY4EuSDqNv5WJOag//mF2OJhwtecH68j92IqOELlojw2rV0HLhTAnsTMQQIkEnE+KevG/7UxR4SkXE8DmwPBEHA0L/8Fd+++xaunzmJXkOe1km5xbnZAIDJK/8JE/MHjz4TBAE29o6wsa+fekFX788Ya584QWIdiolIwGw3Bf6gsMPylCy8kZiBbVkFWOXtigCp/h+73alVYUz8DRTWqdDN3BR1RLhWUY0ve3fHcwqZ3t+/o3P17Q3PJ0Jw+tut8AoeBInpoz+adPH2BQQBJ7Z8gfBZr0Ak6rgTkDLGWo6HybAOSWFmgn/7uePHAE/UajQYFZeEN65noKBWf6PdlKWVGHkxEbm1dRjfxQ79pJZQmJrglW4KTo50aMgL01BWcAcJh/frpDw7566ImPM6rkQfxeH1/4JGo9ZJuYwx48Z3kFiHFiyzxs9BPvg66w4+Ss3G/vxiLPJwxosuDhDr8LFbrUaDPyqTYSIScPJJX7hyp2u9sXdxhX9YBGL2fos+Tw+HhfWjry3Ye1gYRBIJDnyyBj2DguEdMlgHNWWMGTO+g8Q6PIlIwExXOc4E98JIR1ssSspE5MUkxJVU6Ow9TAQBZWoNXnRx5OToMQidMAkatQYxe7975LIqiotw7XQ0rv1yAgBgwaPPGGPgBIl1InJTE6zr1Q37B3jh1/IqjI6/gXKVbh6nCIIAf2sLHMgvRqmOymQPZiWzwxNjxkF56L8oyctpczmXT/yMjXOm4sCnH6OypBij5i6Am19fHdaUMWasOEFinU6QrRVmu8qhMJXASqy7X4F1vbrhRmUNJl5K0VmZ7MGCRj8PcxspTu/a2qbzNRo1jm/eCK/gQXhp41b8ZdW/eGQaY6wBJ0isUzpZVIauZqZNznfTVp6W9UPE40srca0DrRHXXpmYm2PgHyfj+pmTyL2Z3OrzBQiwtJVBVVPNkzoyxu7DCRLrdNREEAFIKKvEipQsVOjokZiJSMDbHs4AgOfib2DGlVSoO8c8rAbT56lwOLh2w8ltm1u1ZhoACCIRhr34V9yMj8WP//gAVWWleqolY8wYcYLEOh2xIOBgoDcW9XDC5sx8DL5wHfvyilv9BduUaV0dMbebAuVqDX7KL8GhOyUPP4m1mUgsxpAXpiHj6q9IVV5s9fnewYPwhzeX4vb1q/jmzVeRef2qHmrJGDNGnCCxTslcLMLr3Z1w8klf9LexxOyrafjzpRTcqKhuc5kqDaFYpcYQOxs4mkgwxM4aT9k9+hB01jyPAU/Aza8vTm2Lgkbd+ruBPQODMeHvK1BeWIBTWzfroYaMMWPECRLr1LpZmCGqbw9s8/dAenUtnolNxPtteOyWW1MH/7NXEHTuN/z5UgpsJCKs9naFlYRnZda3u0uQFGSm4+rJY60+/7dfTmD73+dDLJGg91NheqghY8wY8USRjAEId5BisMwX6zPy8MmtXHyfW4Rlnl3xrNy22Y7clWoNLEQC/nUrF4V1avzT1w3+1hbobW2h0w7grHlOPb3gO2gYzn63Db4Dh8LE3BxF2bdhIbWFmaVVs/8Xied+gaObOya8/T531maMNeAEibH/MReLML+7E8Z3scM7ybcx62oahtpZY6WXK7ystBcxzaquxfzrGYguKoOpIKCWCO97dcULzg4Gqj0bPPFFbH79JZza8TXqqqtx9eTRhn3eIYPhO3gYxBIJevQP0kqYZAonFGTc4uSIMaaFEyTGGnG3MMOWvh74+U4J3r5xG8/EJuIlNzle794FZoII3+UWYkVyFsxEIrzT0wWmIgG+VuYYJLM2dNU7NVuFE/qPHI34Az8CAKRyBWRdnJB+5VcknT+NpPOnAQA9+gcicPTz6NbHH4JIBBcfP8Qf3IeywjuwsXc05CUwxtoRgXQxdMcIlJaWwtbWFiUlJZBKpYauDjMSVWoNPkvPw6fpubCTSJBTWwcAeF4hw0pvV9ib8N8Y7QlpNLh15RJs7B3g4NoNAFBZWoLYff+Bd/AglBXewdnvtqMgMx1WdvawlXdBcW42NBoNXvp8C8QSEwNfAWOsMUN9f3OCxFgLpFXV4M3EDJwqKsd2fw+EOXAbMlZEhNvXriJVeREVxUUws7JGr0HD4OTpbeiqMcaawAmSnnGCxB4VEaFIpea7Rowx9hgZ6vu7VcP8N2zYAH9/f0ilUkilUoSGhuLgwYMAgLS0NAiC0ORr9+7dDyxz2rRp9x0fERGhdUxhYSEmT54MqVQKmUyGGTNmoLy8vA2Xy1jbCYLAyRFjjHUSrfq0d3V1xerVq+Hl5QUiwpYtWzB27FgkJCTA19cX2dnZWsd/8cUXWLNmDSIjI5stNyIiAlFRUQ0/m5mZae2fPHkysrOzceTIEdTV1WH69OmYPXs2duzY0ZrqM8YYY4y1yCM/YrO3t8eaNWswY8aM+/YFBARgwIAB2LRp0wPPnzZtGoqLi/HDDz80uf/atWvw8/NDbGwsgoKCAACHDh3CqFGjkJmZCRcXlxbVkx+xMcYYY8bHKB6x3UutVmPXrl2oqKhAaGjoffvj4uKgVCqbTJwai46OhkKhgI+PD+bMmYOCgoKGfefOnYNMJmtIjgAgPDwcIpEIMTExDyyzpqYGpaWlWi/GGGOMsZZodYeKy5cvIzQ0FNXV1bC2tsbevXvh5+d333GbNm1Cr169MHDgwGbLi4iIwLhx49CjRw+kpKRgyZIliIyMxLlz5yAWi5GTkwOFQqFdaYkE9vb2yMnJeWC5q1atwrJly1p7eYwxxhhjrU+QfHx8oFQqUVJSgj179mDq1Kk4efKkVpJUVVWFHTt2YOnSpQ8tb+LEiQ3/7tu3L/z9/dGzZ09ER0cjLKzt6yItXrwY8+fPb/i5tLQUbm5ubS6PMcYYY51Hqx+xmZqawtPTE4GBgVi1ahX69euHdevWaR2zZ88eVFZWYsqUKa2ukIeHBxwdHZGcnAwAcHJyQl5entYxKpUKhYWFcHJyemA5ZmZmDaPt7r4YY4wxxlqizX2Q7tJoNKipqdHatmnTJowZMwZyubzV5WVmZqKgoADOzs4AgNDQUBQXFyMuLq7hmOPHj0Oj0SA4OPjRKs8YY4wx1oRWJUiLFy/GqVOnkJaWhsuXL2Px4sWIjo7G5MmTG45JTk7GqVOnMHPmzCbL8PX1xd69ewEA5eXlWLhwIc6fP4+0tDQcO3YMY8eOhaenJ0aOHAkA6NWrFyIiIjBr1ixcuHABZ86cwdy5czFx4sQWj2BjjDHGGGuNVvVBysvLw5QpU5CdnQ1bW1v4+/vj8OHDGD58eMMxmzdvhqurK0aMGNFkGYmJiSgpKQEAiMVi/Prrr9iyZQuKi4vh4uKCESNGYMWKFVpzIW3fvh1z585FWFgYRCIRxo8fj08++aQt18sYY4wx9lC81AhjjDHG2i2jmweJMcYYY6yj4gSJMcYYY6wRTpAYY4wxxhrpNEuT3+1qxUuOMMYYY8bj7vf24+4y3WkSpLKyMgDg2bQZY4wxI1RWVgZbW9vH9n6dZhSbRqNBVlYWbGxsIAiCoaujN3eXVMnIyODRejrGsdUvjq/+cGz1h2OrP3djm56eDkEQ4OLiApHo8fUM6jR3kEQiEVxdXQ1djceGl1fRH46tfnF89Ydjqz8cW/2xtbU1SGy5kzZjjDHGWCOcIDHGGGOMNcIJUgdjZmaGd999V2upFqYbHFv94vjqD8dWfzi2+mPo2HaaTtqMMcYYYy3Fd5AYY4wxxhrhBIkxxhhjrBFOkBhjjDHGGuEEiTHGGGOsEU6QjExSUhLGjh0LR0dHSKVSDB48GCdOnNA6Jj09HaNHj4alpSUUCgUWLlwIlUrVbLmFhYWYPHkypFIpZDIZZsyYgfLycn1eSrsTHR0NQRCafMXGxjYc991336F///6wtLSEu7s71qxZ89Cyu3fvfl+Zq1ev1ufltCv6jG1nb7stje3hw4cREhICGxsbyOVyjB8/Hmlpac2Wze1Wf7Ht7O0WaFl833vvvSb3W1lZNVt2U+fs2rWrdRUkZlS8vLxo1KhRdOnSJUpKSqKXX36ZLC0tKTs7m4iIVCoV9enTh8LDwykhIYEOHDhAjo6OtHjx4mbLjYiIoH79+tH58+fpl19+IU9PT5o0adLjuKR2o6amhrKzs7VeM2fOpB49epBGoyEiogMHDpBEIqENGzZQSkoK7d+/n5ydnenTTz9ttmx3d3davny5Vtnl5eWP47LaBX3GtrO33ZbE9ubNm2RmZkaLFy+m5ORkiouLo6FDh1JAQECzZXO71V9sO3u7JWpZfMvKyu47xs/Pj6ZOndps2QAoKipK67yqqqpW1Y8TJCOSn59PAOjUqVMN20pLSwkAHTlyhIjqv2REIhHl5OQ0HLNhwwaSSqVUU1PTZLm//fYbAaDY2NiGbQcPHiRBEOj27dt6upr2r7a2luRyOS1fvrxh26RJk2jChAlax33yySfk6ura8AvdFHd3d1q7dq2+qmp0dBVbbrv3ayq2u3fvJolEQmq1umHbvn37SBAEqq2tfWBZ3G616Sq23G6b1lR8G1Mqlfd9DzYFAO3du/eR6sOP2IyIg4MDfHx88M0336CiogIqlQobN26EQqFAYGAgAODcuXPo27cvunTp0nDeyJEjUVpaiqtXrzZZ7rlz5yCTyRAUFNSwLTw8HCKRCDExMfq9qHZs3759KCgowPTp0xu21dTUwNzcXOs4CwsLZGZm4tatW82Wt3r1ajg4OCAgIABr1qx56GPPjkxXseW2e7+mYhsYGAiRSISoqCio1WqUlJRg69atCA8Ph4mJSbPlcbv9na5iy+22aU3Ft7GvvvoK3t7eGDJkyEPLe+WVV+Do6Ignn3wSmzdvBrV22sdHSq/YY5eRkUGBgYEkCAKJxWJydnam+Pj4hv2zZs2iESNGaJ1TUVFBAOjAgQNNlrly5Ury9va+b7tcLqf169fr9gKMSGRkJEVGRmpt27hxI1laWtLRo0dJrVZTYmIi+fr6EgA6e/bsA8v6xz/+QSdOnKBLly7Rhg0bSCaT0bx58/R9Ce2WrmLLbfd+TcWWiCg6OpoUCgWJxWICQKGhoVRUVNRsWdxutekqttxum/ag+N5VVVVFdnZ29OGHHz60rOXLl9Pp06cpPj6eVq9eTWZmZrRu3bpW1YcTpHbgrbfeIgDNvq5du0YajYbGjBlDkZGRdPr0aYqLi6M5c+ZQ165dKSsri4g4QWpKS+N7r4yMDBKJRLRnzx6t7RqNht58800yNzcnsVhMdnZ29N577xEAOn/+fIvrtGnTJpJIJFRdXa2TazQUQ8e2I7ddXcY2OzubvLy8aOHChRQfH08nT56kYcOGUVhYWLOPhhvjdqub2Hbkdkuk2/jea8eOHSSRSLS6kLTU0qVLydXVtVXnSFp3v4npw4IFCzBt2rRmj/Hw8MDx48exf/9+FBUVQSqVAgDWr1+PI0eOYMuWLVi0aBGcnJxw4cIFrXNzc3MBAE5OTk2W7eTkhLy8PK1tKpUKhYWFDzzHmLQ0vveKioqCg4MDxowZo7VdEAR8+OGH+OCDD5CTkwO5XI5jx441WUZzgoODoVKpkJaWBh8fnxaf194YOrYdue3qMrafffYZbG1t8dFHHzVs27ZtG9zc3BATE4OQkJAW1YnbrW5i25HbLaDb+N7rq6++wrPPPqvVhaSlgoODsWLFCtTU1LR4bTdOkNoBuVwOuVz+0OMqKysBACKRdtcxkUgEjUYDAAgNDcXKlSuRl5cHhUIBADhy5AikUin8/PyaLDc0NBTFxcWIi4tr6Mt0/PhxaDQaBAcHt/m62ouWxvcuIkJUVBSmTJnywD4EYrEYXbt2BQDs3LkToaGhrXoPpVIJkUjU8H9krAwd247cdnUZ28rKyvs+N8RiMQA0fHa0BLdb3cS2I7dbQD+fC6mpqThx4gT27dvXpjoplUrY2dm1buHbVt+nYgaTn59PDg4ONG7cOFIqlZSYmEhvvPEGmZiYkFKpJKLfh/mPGDGClEolHTp0iORyudYw/5iYGPLx8aHMzMyGbRERERQQEEAxMTF0+vRp8vLy6nRDTu86evRok7eAier/DzZs2EDXrl2jhIQEeu2118jc3JxiYmIajmkc37Nnz9LatWtJqVRSSkoKbdu2jeRyOU2ZMuWxXVN7oevYEnHbvau52B47dowEQaBly5ZRUlISxcXF0ciRI8nd3Z0qKyuJiNttc3QdWyJut/dqLr53vf322+Ti4kIqleq+fd9//z35+Pg0/Lxv3z768ssv6fLly3Tjxg1av349WVpa0jvvvNOqenGCZGRiY2NpxIgRZG9vTzY2NhQSEnJf36K0tDSKjIwkCwsLcnR0pAULFlBdXV3D/hMnThAASk1NbdhWUFBAkyZNImtra5JKpTR9+nQqKyt7XJfVrkyaNIkGDhzY5L78/HwKCQkhKysrsrS0pLCwsPv6xzSOb1xcHAUHB5OtrS2Zm5tTr1696IMPPjD6fhxtoevYEnHbvau52BIR7dy5kwICAsjKyorkcjmNGTNG6wuJ2+2D6Tq2RNxu7/Ww+KrVanJ1daUlS5Y0uT8qKoruvd9z8OBB6t+/P1lbW5OVlRX169ePPv/8c62pGFpCIGrtuDfGGGOMsY6N50FijDHGGGuEEyTGGGOMsUY4QWKMMcYYa4QTJMYYY4yxRjhBYowxxhhrhBMkxhhjjLFGOEFijDHGGGuEEyTGGGOMsUY4QWKMMcYYa4QTJMYYY4yxRjhBYowxxhhrhBMkxhhjjLFG/h+Klw8lLiaXWgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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a3BBtTK6UrXUfMrydHzqDiS/+qd7+WgOae6PRGdl6Pq1a15WQuN+QDB4LIJpMJL3wIpdHPUXK1KkWk6tq2BBBpUKzf3+5xsusrfF8Ywr+CxeiPXuOy09HYiyondszhUfMX+7qQKeaVeQ/WDdxQeFmTfHF7JpWRaKasVMraORhx8rDiUxffxZTNcVyBbjZEurnxB/Hpe7pEhJViWTwWIDC3bsp2LkTmw4dyP1jHUWnTltErtzODoeBA7ny/Vx0iYnlnmfboT3+vyxGn5BA8pQpiKba15FZbqvEqqkrMuvaVxlBZq/EmKOVtrXuMxRyGRtf6spLDzZmwe5Y/jxZfQbIkFAfdlxIJ1ejr7Y1JSTuNySDxwLk/bUBAJ9Zn6IODiZh/HhyVq9B1Ff+y8vzrTeR2dmR/vnnFZpnFRSEz2ezKNi2jYw5cyqthyURRRFjng6Fk7qmVSkTm5buFJ/PIndDbE2rIlHNKOUy/tc7CDc7FedSLF+iICoqis6dOxMUFES7du04c+YMAINCvRFFWHXUfGOzYMECGjduTMOGDRk7diz6q98lcXFx9OjRA0dHR8LCwspcQxRFevbsiZOTk8X1l5Coy0gGTyURRZGC3bsBUHp44P/TAmzatyfl7bc53zKU1A8+QHPoENrYWPRJSeRv307hwYPl9rrI7e1xfSaS/C1bMRVWbHvK/oEHcH/lf2TOnUfap7NqzfaWPrEAY44Wq5BbZ57VJHadfLB/wI/CAymIhtrnHZOoegRBoFhv+SDi8ePHM27cOC5evMiUKVOIjIwEwMPeikEtvVm4J5bomEtMnTqVXbt2ER0dTVpaGj/88AMADg4OfPjhhyxbtuyWa3z55Zc0bNjQ4rpLSNR1JIOnkmQvW4YxM7Mkk0rh6orvV1/S4I/fsevWjexly7k86iku9R9A9IO9SHxuIvFPPU3c8BHoEpPKtYZt126g16M5eqzC+rk++ywer79G9pIlXGzblthhw2s8dV0bm4uglNW6+J0bsW7miqgzoYuXChHej/Rt5skv+y/z2m8n0BosY/ikp6dz+PBhnnzySQAeeeQREhISiI6OBuDZroEkZhcx/eufiIiIwMvLC0EQmDBhAsuXLwfAxcWF8PBwbG3LLudw5swZfv/9d9544w2L6CwhcS8hGTyVJG36hwC4TRhf6nWr4GD85s0l6PAhAjdswH/RIvx+mEfDLVvwX/wzxuxs4h59lKKTJ++4htzZCaDCHh4w36m6jhlDw82bcH/5ZfTJycQNG0b+li0VlmUxRBHkMoQKVliuTpQ+diAX0JySOlnfj7w9oCnjuwWy6kgim89YJnsqISEBb29vFApz3JogCPj7+xMfHw9A83qO9Arx4J9DZ/D18y+ZFxAQUDLmduj1esaOHcu8efOQy2/djFdC4n5FMngqgWgygVyOOigIdePGZY6R29mhDmyAbccO2HXrhsq3Hrbt29Ng1W+oAgJIGDeeohMnbruO5sBBANSNG921rkovL9wmjKfRln+w696dpFdfo/hC9abfliCTIRpMiPrau10kyASUHjbo4vOlysv3IdYqOU92rA+AlbL6jIfX+zahoNjA0ct3zhLUGkzsisrgUFwWlzMLefe9aTz88MOElNGCRkJCQjJ4KkXxmTNgNFYog+oacicn/OZ+j6pBAy4/HUnun+vLHGfS6cj4+mtsO3dCbYF9eZmVFT6ffoKqQQOS/veKRQKrK4q6oSMYTOgS8qp97YrgODAQfXIB2asu1mrjTKJqcLQ214jafiHdIvL8/PxISUnBcLUoqCiKxMfH4+9/3ZsT7GVPx5bBbDl8hmnrzhB7pZDY2NiSMYnZGr7dHs3rv50gJqOAUQsO8tjcfXSftYPZS/5g2ozPcfP2pXOXcPLy8ggICCAjQ/JSSkiA1C29Ulg1M3cnt2nd+q7my52c8F/4EylT3yX59dcp3LMH1zGjMel0aM9fQJ+WSsHWbejj46k361OL6S2zssJn5gxiHxpKztq1OA8bZjHZ5UHpbq6ubMjWUjvztMxYNXLCZXgwWSsvoksswPOlVgg10FHbIvzUD+L3mX8f8Bm4NoTiPAjuD4ra/FeoOWzVCjoGurDsQDwuNipe6xtcKXkeHh60bt2aJUuWEBkZyerVq/H19aVRo9Ke26/fmkD7Tl1YsfMkC/fEkv37h7gEtaPN9H/ILNRhpZQR4mJDlrMNOyY/QLHeSFqeljP9/2BPTCb7YzLR56ahWvgCa/89hru7c6X0lpC4VxDEe6TYSF5eHo6OjuTm5uLg4FAta4qiyPmQpjg//jhe7959wUFRFMlds4a0Tz7FlHfV6yEIyF1dUdbzweudqVi3aG4hra+T+MKL6BITCVy7xuKyb4doEkmaugenAQ2w61KvWte+G4rOZpK5+Cwek8JQ+drXtDoVpygbPgko+1jTIfDYz1CDDVxrM+l5xbT/eCsAx6b2xtlWVSl5Fy5cIDIykszMTBwcHFi4cCEtWrTg2WefJSIigoiICAB+/PFHZsyYSbHBSEDzdjz8wjTUKhVetjJefrQ7Oq2W3NxcPDw8GDVqFDNmzChZI7NAy9z1+3nvmYH4vvQr3YPceb1vMM3rOVZKdwmJqqK6rt+SwVMJTFotF0LD8Hr/fZyHV95LYiwooPjMWQSVEqvgYGQ2NhbQ8takTJ1K0YmTBK77o0rX+S/GPB0pHx/A9emmWIe4Vuvad4PmWDpZv17Ae2pH5La1pxVGuUk6Aj/2hEFfQeunITMaZHK4sBE2vw0dJ0JRDvT9CGxqZ6mAmuR4Qg4PfbuH1/sGM7FHQ4Q6YhyaTCIbT6fy+eYLxGUW8mqfYJ7r3hCZrG7oL3H/UF3Xb2lLqxLoYs2F6SoTTHwjcjs7bDu0t4is8lC4bz923buXek0URYxZWRizsswNSGVyFB7uyJ2cLPdFL5gfhftTEFRyrBo6WUZuFaE5no6ynl3dNHYA9n1r/hkyGGQycA8yP+88yWz87P/O/Dx0OAT2qBEVazNhfk481saXWZsusPpIIl8ODyPUz6mm1bojMpnAwJbe9G3myZxt0Xy2+QIHY7P4cngYLpX0VElI1EUqFJDw/fff07JlSxwcHHBwcKBTp05s3LgRMFcAFQShzMdvv/12W7nnzp0jIiICR0dHbG1tadeuXbnSMGsabXQMgEWCiWsCQS7HmHc9cLjo1GliHxpKVJdwLg2OIHbow8QOGUJUp85cCGtFytSpmIqKKr2u3F6Fy+NNKL6QTday87W/hYNChkmjr7tFCJsOMf9MLaMEwuCvYPBs8+9uQdWmUl3j00db8t0Trbl0pZAh3+5hh4UCmasDhVzGK72D+PmZ9pxKymXgnF3svCgFMkvcf1TI4PH19WXmzJkcOXKEw4cP07NnT4YMGcKZM2dKMhBufLz//vvY2dnRv3//W8qMiYkhPDycJk2asGPHDk6ePMnUqVOxsrKq9MlVNdroKBTu7sgd6+beuEvk0+T9+SfnmoRwrkkI8ZGRCEol9b78gvrLlxHw22/UX76MerNn4zZhPLl/rif9iy8tsrZNC3dcR4VgKtRjzNVaRGZVYdfBG2O2lsKDqTWtyt3h1cL88+Kmso/np4KNK9h7V59OdQxBEBjQwpstr3THSikjcuEhotPrVlHKbkHubHixK4Hutjz900FeXnGMvGKpd5fE/UOFtrQGDx5c6vlHH33E999/z/79+2nWrBleXl6ljq9du5Zhw4ZhZ2d3S5lvv/02AwYM4NNPr2ch1ZWy6LqYGIttZ9UEziNHIrO1JXnyFAAchwzB/ZX/Ib/V30uuIGPOHJxHjkAdGFjp9YWr9U30iQXI7VQIiprJgLoUn8PBo8mEBDgTGnbzRV9xNassZ10MMjslNi3dq1vFyvHDA+afzR4u+7iVI2jzzcHNNi5wJRq2vg9tR0PDB6pPzzpAIw87tr/Wg04ztvH0/IM807wez0Y0qWm1yo2XoxVLxnRg1ZFEPlh/lqgf9vPLmA7SFpfEfcFdX2GMRiMrVqygsLCQTp063XT8yJEjHD9+nDFjxtxShslk4q+//iIoKIi+ffvi4eFBhw4d+P333++4vlarJS8vr9SjutFGRaNqVHcNHgDHiAhCzp8j5Pw5vN6demtjB3B5ahTKej4kv/b6XVV9/i8qf3tktgoyl5wjbfZRdAlVf8dsNJjYuO0Sm7dfYvnqM6Ql5dP7uz28sT+WISuOMuyDrRQXlb7rVThb4fFiK5TetmQtO4/mWHrt34a7EX0R9HwH/DuUfTwkAlS2sHwk6DRwdBGcWwe/PATrXoQsqYnqjXg7WrPxpa7Ya0x8uDeGt+YdwmisO9udgiDwWFs/Vo7vRGpuMc8sPEih1lDTaklIVDkVNnhOnTqFnZ0darWaCRMmsHbtWpo2bXrTuAULFhASEkLnzp1vKSs9PZ2CggJmzpxJv3792Lx5M0OHDuXhhx9m586dt9VjxowZODo6ljz8/PwqeiqVwqTVoouPR92wbhs8FUFmZYXvV1+hi4sjftz4UvE/dydPgdeU9rg+GYIhW0vWr1Vf+fnU2XSe23yOcZvO8eahODp8/S9G4L3W/vjK5RzUFLP/0M09zlQ+dnhMDEPhbk3WrxfI+T0a0VjLjJ5Tq2DtcxB/4PprogiCDJRl914CwLEePLHKHOPzQ3c49BM07gv9PjEbPj8+AAkHq17/OkSItwOj5Ha0LVawLDadCbP21LRKFSbE24GfR7cnJqOQCUuOSNtbEvc8FU5L1+l0xMfHk5uby6pVq5g/fz47d+4sZfQUFRXh7e3N1KlTefXVV28pKzk5mXr16jFy5MhS3X8jIiKwtbUtaZhXFlqtFq32euxHXl4efn5+1ZaWXnz+PLEPDaX+sqV3XXiwrlJ04gQJ48ajCgjAb8EC5Ha3uZiWk8Q3dyF3UuM95e6z1BasPEWwryPhnf1vOWbt5ij+t+0iv0e0ZNPpVAxGE97O1jw2IJg5vxxjWUImh97phY1d2cX4TBo9BQdTydsUh8xagXUzNxz61kduV8NbAvH7YdEgsHIwb0051YeGPcGzGfz1Cjy2CJoNvYOMA7DvG3Dyh47PgaOvOV19+UhIOQETdpkLFkpgMonMe2EHXR5tzNILyfwal0FfF0ds1HLeHhWKKBfIzCqmSYPaX/Rvb8wVnv35MNZKORFhPnRo4IpaIaNQZ6BQa6BQa6RIb8TNTkUDNzsC3W1xtVXVmfR8idpPrU1LV6lUJZVB27Rpw6FDh5g9ezbz5s0rGbNq1So0Gg1PPfXUbWW5ubmhUChu8hCFhISwe/fu285Vq9Wo1TVXIVYbZe5wrK7jW1p3g3VoKH7z5xP/zDPEPvIwLk88icLNFX1yMkUnTmDVtCmuzz6LoCx/Grf9A37kb0sg7ZtjuI9riUxV8f5F04/Gw1FYCnS5hdGTnl6IEmjZoR5hnUt7BQd3rs+Pv2aycXc8j/QruzeazEaJQw8/rIJdKDqVQcHuZAqPpeH6eAjWTWuoplBeMqx8Cnzbwai1cOo3SDsNZ9bC4QVg7Ww+dif8O9y87WXtBE/8BvO6wupnYcxmkNfR9HwLkp9ZhMko4uRpzYxubTn+/jY2ZeUCsPbT7SXjVgxrzdYTKdjYqnjx4abIayhO7XZ0bujG1le7M3dHDBtPpbJwT1yp49ZKOVZKGTlFeq7dHttbKQjxdqBPU08GtPDGx8m6+hWXkKggla7DYzKZSnlawLydFRERgbv77YM7VSoV7dq148J/mlhevHiR+vXrV1a1KkUbHY3CwwN5NRU5rG1Yt2hOwMpfSZ/1GWmzZoFej2BtjbphQ/K376Bg57/U+/ILlN7ly/xxeMAfY54OzeE0DBlFqOrdOpaoLAw3pIyPXXeKRUoZ7dv53jSukYcdemDv/gTCu5T+H7O+6qUpuKK543oqb1tU3rbYtvcmc+k5Mhefxev1tihcq/mLvzgPZoeCrTsM+xmUVtB6lPlY3xmgLwS5qnLtI9R28Mh8WNAHvmkLfh3NLSnqtTZ7g25Emw8nV5qNrsxosPMy63WPeYZy0szlGZw8bZDJZax5oztb9yXw4944ThVeL93w1aaL7M8tAGDH2TT+mPZgjeh7J7wdrXl/SHOmRTTjSoEOkyhio5Jjo1Igv1qosFhv5HKmhtgrBVy6UsjRy9l8uukCMzeep2tjN2xUCmQyAZkAMkFAdtUDZDSZMJhETKKIwXj1p0nE+J9HWWNMJhFbtYKlYzvgYCUZ2hKVo0IGz5tvvkn//v3x9/cnPz+fZcuWsWPHDjZtup7uGh0dzb///suGDRvKlNGkSRNmzJjB0KFm9/rrr7/O8OHD6datGw888AB///03f/75Jzt27Lj7s6oGtNHR96V350bUgYH4ff8dJp0OUadDZmuLIAgUHT9O4v9eIXbow/jMmoVd1/A7yhKUMuw6+aA5nAYV7E7+xU9HmHPRnDLeydYKjcHEsNUnCFhzmnmRbfGuZ0/LD7fwvzBfXhjWgoCd0SzcGXuTwWPvbIWbTMZ7pxP55Z1URCDI0ZoPItvg7l72tp3CSY3bU01J/eIIqZ8fxmV4E6xbulWPu18UYeZVL9WQb8HOo/RxmQzUFmqFUa8NDPsFTq+GqE1wcoXZa/Tslutjji2Fze+ANg8CwqH9ODi0AHZ9Dg99d3fr5iSY1zIaoEE3qN+5VrTByEnTIFfKsHc2l8+wtVES8WAgA7oH8P1vZ9h8MZ1TRcXszy1gmK8bu1JyOFFczKbd8fQNv/WWa00jCALu9mUbx1ZKOcFe9gR7Xf+fKtAaWHEwnl1RV8gr1mO8arSYTGASRURAIROQ3/BQyARUchkKldkoMh+XIZdR8lMhkyETBIoNRpYdiOd0Yi6dG7lV07sgca9SIYMnPT2dp556ipSUFBwdHWnZsiWbNm2id+/eJWN++uknfH196dOnT5kyLly4QG5ubsnzoUOHMnfuXGbMmMGLL75IcHAwq1evJjz8zhfJmkQXHY1dj+53HngfIFOpQHU9hsU6LIwGa1aTPHkKCePG4fnWWzg/+cQtjQBRb6LoXGZJY87i6GxUfuW7UBuNphJjJ0SlZNqwULy87BgzezeHNVoeWXgQ1dU71C+PJ9K9iQfd3B1YmppNVm4xLo7X6z15udmydmJnJvxwABeFAh97FX+l5TJ98THmvHrr/0e5vQqP50LJXh1F1vLzCKtkOPQNwK6zD0JVlvE/MNf8s7rSx5sMMD+uRJk9PT6trh8zaOHPl8zFCyfsMsf/gDkG6Pz6u1tv7zew9QPzFppcCTtnQvvxMMByjXTvlpw0DU4e1jf9fRUKGS+MbMET2UW8OvcQLjYqZjzXjsxcLe0/3cb49aeIPJ3GtAnl2GKsA9ipFTzbNZBnu1a+TEVZGIwmfjucQFR6gWTwSFQaqZfWXWDSarnQqjVe70/D+bHHLCIzKiqKp59+mitXruDo6MiiRYtodrUb+40sWLCAmTNnYjKZ6NmzJ9999x1KpZJ9+/bx3HPPAaDX6wkPD2fOnDmo1WpMJhOTJ0/m77//xmAw0KVLF77//ntUqqoNtBVNJtI/+ZSsn3/GvndvvKd/gNzJ6aZxWSsvoDlqrlwrKGU4PxZU7lo3O3bEEvn3Wf4X4kPkw01xvOHuNCeniOe/3seewiJGejtz7EoB5/XmTJReDrb88Eb3O/YVmvDJTmLyi9k8vc8dvTaiKFJ8JpPCw2kUn8/CuqUbzg81QmZTBa74mO2w5BFzcHHfjywv/3asGgNxu2DSYXOQNJi9TUsehphtZs/PsMXg4AMXN8Oyx+DJNdCoAts56efgu47QJhL6fARKG9g7B7a8By+funkrrZr546tjqK0V9Bvfotxzvll5ms+OXgZgeAMPPhl/bxg9VU2fL3fSoYEr0x+yfANlidpBdV2/a18EXR1Ad+kSmEwW3dIaP34848aN4+LFi0yZMoXIyMibxsTGxjJ16lR27dpFdHQ0aWlp/PDDDwCEhoZy6NAhjh8/zqlTp0hPT+e778zbCAsWLODo0aMcPXqUc+fOIZPJmD17tsV0vxWCTIbnm29Qb/ZsCg8e5NJDQ9EcOlRqjDFfh+ZoOo4DGuD+XCg+73WqUGG/ozFZAHx5Lplxs/dQrLteT8TJyZqf3+zB9w824b3x7fhhbHu8ZTKe8HZm3uRu5WqiOKSNL1EGAydP3LnKsiAIWDd3wy2yGU4PN6I4Koe02UcxZBWX+3zKRdYl+C0SArtDr/ctK7s8CFe/Now3pDELAjyxGkb+CpkxsOfq/1fj3lA/HP55t2xZycfNW2HnN4C24OY1mg4xxxDJZBDU1/xaXopFT+duKMjWYudSsWrwk4Y15/BrPQH4NbbutKaoaRp72BNVx6paS9ROJIPnLtBGWzZDKz09ncOHD/Pkk08C8Mgjj5CQkED01XWusWrVKiIiIvDy8kIQBCZMmFCSum9jY4PyalaUTqejqKioxCNx4sQJevXqhUplTiXt378/v/zyi0V0Lw8OffsQ+PtalL71uPx0JOlff03R+Uzytlwmfe4JABSuVqjrO1S42vKEkS15o2k96gsyDhQU0eTdTXz8/fU6NAqFjP69G2JlpcTf34k9H/blo5c6lztbpnVzc1zMpYTcO4wsjV17bzxfag2CQNpXR8hceg5TsQWKu2nzYfnj5lYQj/4E8hro/9vrPRBNsOJx85ZVCaI51sfGBXRXjRdBgLbPmLPGNFnXh6achGUjzHV//pgIK0bC3HDITzMfdwsCGzezx+gaeVfrI9nW7NaGySRSkFWMjWPFPaRubtY0kZX2+B06lU6HN/8mcua/daugZTXRyMOO6PTKFzqVkJAMnrtAGxWNwssLub1lAkITEhLw9vZGoTBfvARBwN/f/6YGqvHx8aWy1wICAkqNiYuLIzQ0FDc3NxwdHZk4cSJgLh+wbt068vLy0Ov1rFy5kri4OIvoXl6U3t7U//ln3J6fSOa335Hy9lcU7E0uMXDkDneXRWRjo2TCU2H8PfVBvu5ojiOQ3caYiYmJoXPnzgQFBdGuXTvOnDlzy7GiKNKyczfivxpOyxCz1+nUqVN069aNJk2a0Lx5c0aPHk3RDQ1Vs7OzeeKJJwgKCiK0S2u+zPgNu66+FJ3LJOWjA2jj8xBF8e4bkW79AHITYeRyc7p5TeDoCyNXQOopmN0Sfp8IR36G7zvDZ43M2VmNb4jhc6hn/lmYAbpCc3HEeV3hygUY+gO8kwETD0BBOhxZZB4rCNDiMbP3R3/1/Y3eBnae4NygWk/3v+SmazDoTdg63t3/bOeGZoPt3flH+GXDRf7YH0+aaGRHTj6LVp2zpKr3BI087LhSoCVHo6tpVSTqOJLBcxfU1gytgIAATpw4QWpqKlqtljVr1gAQGRlJv3796N69O927dycoKKjEuKpOBLmc4r6dMMhliHoNF+zjOW0Xw7nQVGIKL2E0GcucpynSs/yPc3y+4AgLV54mOcVc4TkhIZe3v9pLp7f/ZsQnO/njeDIAA7oF3FKH8mwdXuPLL79E7uiFDPCtZ95XtrKy4ptvvuH8+fOcOHGCwsJCPvnkk5I5o0ePplWrVly8eJEzZ87wyuuv4ti7Ph4TQpG7WHHlx1OkzjpM0tQ9FByo4NaMtsBcW6fN0+AeXLG5lsa3Lbx41BwwnXQE/nwRBDkMngMvHL3eoR2gOMf8U2Vrjv85tw4GfgHPH4LQ4aBQgUcTs+fGcN14pMM4cxHFk7+aY4TO/QlNBpm3t2oQB1drBAH02rL/X+/EsB4BOCFjcXQqU/+NYklMGoigEuHnYwn8+NeFUluz9zuNPc0lKqLTC+4wsvYgeepqJzXgD6/7aKOjse/Z02LyrnWaNxgMKBQKRFEkPj4ef//SgZn+/v7ExMSUPI+Li7tpDICdnR0jRoxg6dKljBgxAkEQmDZtGtOmTQNgxYoVZQZEVzXpydFcioxE7iDj8pBGOKXKsMmX41rsiNWJPBLYhUZexBW7PLCRI0NgZa6SXUUKckQRK6AImH70Mi3VKs5pdSgQ6OfhQI7WwOVCLT1c7GjeuOwtj2tbh5s3bwbMW4eTJk0iOjq6pJjmNc6cOcPvv//O+y+9x/gJu5j76yleimxN48bXCxLK5XLatWvH6dOnAXNJhsOHD7N69eqSMdca6qp87fGYGEbe1nhEnRFjdjG5G2IxZmux7eiFwqkc8SD/zjJvabUfW4F3vQqx94Je08yP4jxzCnxZgd2Jh8x1glR2cHEjDPrSbCjdiNFg9gDZ3hC/5RJoDnQ+tQq8WkJuPDSNqMozKhcGgwlRBLX13X19Nmnowt5pvdEZTUyee4jNGTl4CDJ6N3Tn76h0Pvo3mj8OJfL7Ow+gqIWFCqubBm62yASISi+gbYBLTatTgiiK7EzciSiKtPNqh63SlvNZ55l5cCbns87zQZcP6BvQt8y5mUWZWCusWXB6AQ4qB0Y0GYFaXnOFdO8XJIOngpiKitAnJFi0S7qHhwetW7dmyZIlREZGsnr1anx9fW+6CD/yyCOEh4czbdo0PD09mTt3LiNGjADMF9v69eujVCrR6XSsXbuWli1bAlBcXExRURHOzs5cuXKFmTNnMn36dIvpXx7ystM48fQwHIqMeP/yE+FNr1f01Wt1nDt2lLSkDFRaOcZ0EbFIi1Y0sk7jSoCVwKqR7WkY7Eb2lUL++CeGDRczeMzPlUc62fH8pHEl2W1fLVp0UzDytm3beOONN7hy5QparZa33nqLmTNnIpPJ8Pf355NPPmHPnj2oVCqsrKz44osveO2111iwYAHffrsUUVfE9DcfZc2i+iz6aSENAgMAKCwsZP78+cyYMQOAs2fP4uvry3PPPcfhw4dxdXXlk08+oVUrc/q2TC3HaYB5O8ZUZCB7TRQF+5LJ352ITZgHqnp22HbwLjuVPeOCue1D9yngHGD5P1BlsSojs0IUzR6p/d9Dy+FguBq8fW2L60bSToNeAz43tGlJPW0OULZzN3uFrF3MAdA3YtCZO7sbtNDz7WrZ5svPNHuh7N0qFrR8IzZWCmyApx8M5NCK4/Rr6MEHY9sw3SSycN15pu+/xKq/oxkxKMhCWtdd1Ao59V1tiUqrXR6ejbEbmbJrSslzK7kVxcZiAhwCaOLShPf3vY+1wpqmrk1ZF7OOrKIsWnm0Ym/yXlZeXFlK1ua4zXz1wFe425Q/YUOi4kgGTwXRXroEooi6oWUrx86bN4/IyEg+/vhjHBwcWLhwIQDPPvssERERREREEBgYyPvvv0+XLl0A6NGjB+PHjwfMF/U5c+Ygl8sxGAw8+OCDTJ06FYDc3Fx69OiBTCbDZDLx0ksvMXjwYIvqfzu0RQXsfXoI7ulF2M37Ev8bjB0ApVpFy44db5p3IPEMfBPH431daRhs9to4u9kSObIlkVfH9OzZk3HjxhEZGcmqVauIjIzk0H8ywZydnVmxYgXZ2dmMGDGCvXv3snjxYiIjI9FoNKxbt46YmBjs7OxYsmQJjz76KK+88gqCILBs2VzkSjV2T3/NmTPbaddnGFeiD6LT6Rg+fDh9+vQpKaJpMBg4ePAgH3/8MfPmzWPjxo0MGjSIuLi4koDya8isFbg+EYKxQEf+jkSKz2ehOZxG0bks3CKbXTd6cpNgz1dwfJk5Fbvzi5X+e1QLRTmwZixEbTb38Or7sdk7BVCWuz/rkvmnrTtkx8Ffr0L0FnOl5sFfwdrx5hpA/w3SPrPWbAjKVVCYbk6Hr2LyrpgNNwcLVNXuEubNsbDr1chlMoHRQ5rwzYE4Ptsdw69HE5Eh8Gh7X0beot3J/UAjDzuiMyxn8IiiSJGhCI1BQ4GugEJ9IYX6Qgr0Zf9eqC80jzMUUqgzH0ssSKStZ1ve7/w+x9KPkaPNoYFjAzp6d0Sj1zBp2ySe3/o8ANYKa+yV9vx89mesFdYMCxqGi7UL/QP6U2Qo4sXtLzJi/Qjm9JxDM7fq977fL0h1eCpI7h9/kDzlDYIOH0JuV7H2B/cjBr2OvyP74nc8FdMXb9Oq75Plmles19H6kyVoCjyZ82QgEc1Dbhpz+lI0ncNak5WVVbIV6O3tze7du2/yjoF5S6tRo0Y8+eSTeHh48N5775X0czt58iSenp588803TJs2DVtbWzQaDfn5+eh0Our5+GI/YCrnfhxPSkoyzz33HG5ubvzwww8l2XCHDx/m4YcfLhVI7u7uzr59+8rU578UHEghZ200dl3r4TTwaiG3+b3NQcDtnjVvZf23mnJt5efB5kysId9Ck4Hmra7CTJgVCMOXQMh/DO78VPixp3lrzKQHWw9zNljTIXDxb/j1SXjmb6jfqfS8FU+Y57YeBX++bK4N5Fa18XUntiaw//cYxs3pXmUVtbccSOTTv84jEyBXbyTNaODXx9vSLtSzStar7Xz693l+P5bEzsndKNAXlBgjBbqCEqOlQF+ARq+5vdFyw3OTeOvEAYVMgZ3SDlulLbZK21K/X3v42PkwKHAQjmrHMmWIosiRtCOczzrPoMBBOKgdSMpPwsPW46btqwxNBi9vf5kL2Rf4MPxD+gX0s+j7V9uptc1D73e00dEovL0lY6ccmEwmNr34KA2OppLz7li6lNPYAfMXjqbADTDRN/hmt37UlRT6f7wSrdoGudzcaPTG7LayDAwPDw+aN2/O0qVL2bp1K6tXr6ZBgwYMHz6cBg0a4OLiglqt5sSJE9SrV4+oqCg6dOiAUqkkITGeR5+czDlERgwbQcPGDUsZO2DOhnNwcODkyZO0bNmSgwcPIooifn5+N+lSFrbtvTAVGcj7Ow5ToR7H1gXIEw9i7Pwe8p6vlPu9qxXkJJgzqgzF5no9ChUUXU1LtyrjAmHvBc9uhaOLzf3A2jxj3iYrSIf1r0Cj3uD/Hy9g+nmI+gd6vgOhI2HbR3DoR+j/yc3yLUhWaiGOHtZV2j6kVwdfenUwV6suLNIT/sEWpq05xV913OAxGE0kF2qJzysmIa+I5Hwt6YU6rhRqySvWU1BspFBroEhrQKszotMZ0etMiFzGpt48Wi/R3lK2gGA2TFS22CpssVVdN1Q8bDxuMlpKGTQqu1JzVPLKF2UVBIG2Xm1p69W25DU/h7K/C9xt3Pmp30+8u+ddXt/5OrG5sUxoOUHqSG9hJIOngmijameGVm1k89TRBG6PIvmFoTw4smIXbIVcRnD9TGKSrVDKS3/od8ZcYOwvhzAYbDGZFGyJOUbvRq1vIek6eXl55Ofn4+zszOOPP46DgwPTp0/ngw8+YMiQIYwcOZL4+HiGDx/O7t27ady4MR9++CEvvvgibdu2JaRZZwSlmp27dpKVnVUSm9OlSxe+/fZbBEHg559/ZuzYsRQVFaFWq1m9ejVqdfmCEQVBwL67L4gief/E4XzmYRBAvvd99L49UDa98znWGvp/Ats/htVjzDFHHZ83Gz1gNoTKwsEbelyPicBkNG+LIZo9RTd++Rdlm2v3uDY0B0Ar1NByGJxYAX0+rNKO7ulxeXjUr76mwbbWSh4L8eaHs0lM+GovTTzscHGyomdrH3y9KnbjlVKgxctWZZEL6eHUXA4m55JTrCe32EBesZ58rYHCq48inRGN1kBxsRFtsQGDzoioNyGUtacgFxCUMhRKGQqlHJVKjrWVAldHK2zVcnKJI8egZVKbyTRy8MFWaYu90h4bpU2J4WKtqFojtKpRy9XM7DqTQMdAvjn+DbG5sXzQ+QOsFHcfKyZRGmlLq4JE9+qNfe/eeE6ZXGVr3AtsnT0Zn+//JPbxcAa8++NdyZi1fSvfbirGyiaTPi2VOKic2Hkxg4Q0B9RWeUzv05ARPXoT8d1sfh8zFqPRiLePD3v37LnJw5Ofn0/fvn0ZMGAA77zzTsnrn332GRcvXiypWF1YWIidnR1arfam1hsxMZcJCm5MvZeWMynYn8njqq41gP5KEcZ1HyIvjkGZvhETdhjCpqB6qI7E8Fwj7Sxs/8i8LWUymI2fF46CTH7nubdqS2EywrJhkHgYxm03Z3OBOch5bhdzjaDg/lVyOgDzXtxBu4ENaN23/p0HW4iElAKe/mYv2QYj2YJ5K8ZGFFgyqm1Jccw7seJsClMWH8XT34E/nmqPt52a1EItVgoZTuqKGYhf7LvEnHXn4IarhyiAoJAhU8iQK2UolTJUKjm21kocrZU42ShxtVPhbqvG215NPXsr6jtY4++gxl51+/XnnP2bHw+9zoohm2jm5FMhXesif8f9zTu73yHYOZjZPWfjZn1v9xGTtrRqISaNBn1iouThuQN7ln6O1/d/Et2nCQPfmXfXcsZ26MyGM0uIT3Vi3X5rwIC1nZYHQ7V8Mngobrb2PFe/PrvXnGWEagnb1x4jV+ZArlXpi2lBQQH9+vWjX79+pYwdgMDAQBYuXEhBQQF2dnasX7+eoKCgEmMnJSUFb29vjEYjH3zwLn37P85ZpRUphVVbBE3pZo1ytLlHlu7oHoT1z6E8Ng1xwASEKu6BVtm+btey4goKChAEgYEDBzLzvYvI0k6DVwtmff4FP//8MyaTieDgYBYuXIhTGT3WyE0w/6zfpfTrW983V2B+cs11YwfAqzl4tTBvi1WRwXOt9o7JeJeFI+8SP287tn1kLuao0eiJTcwjctEhRv9ymKfCfInsH4TLHUobzN4VgwCkJ+XT+bPt2DqoyM8oApmAh48dDzTxYGRzH1p53v6Cs/xcCnP+PIernz3fPNQCd2s1nrbKOxotlUF51UDW3djO5B6mX0A/fO18eXHbi4z8ayTf9PyGYJcarr11DyAVeagA2kuxABZNSb/XOPr3L9h9PJ+4tt70/2IlskoUiXOysWb7pLHEfPgYZ97vy44p7Tjz9hgWjBiOm625yvX0L2aQf3wjq1+aQt6BtbgOeJmYzDSeffZZ1q1bB8Ds2bM5ePAga9asISwsjLCwMD76yGxMDB06lIiICNq2bUtoaCizZ89m2bJlJTqMHj2apk2bmo0gpQ1ngh8CoJGLzV2fV0VRte6CqeVzCIIR3Y5fq3y9yvZ1u5YVd/bsWY4cOWLOivvtTwjszj97jrBw4UL27dvH2bNnadOmDW+//XbZitTvDAorWNDLHAANcGyJuU9X7+lld4jvOBEubDAXQ6wCMpMLMOhM+DdzrRL55cHGRkmzIFeWju+Iu1rJ18cTGPTpTopv07qk2GAkOSGPTm19WPJcJxo1cEKtktOniz/d2vhQUKjn139iGPrlLhp9uJmp/0ZhMt1s1B1My+XNFSewcbZi65hOdPJxppGzTZUaOwBKmfneXHeL4qT3Is3dmrNs4DJSC1P5/PDnNa3OvYF4j5CbmysCYm5ubpWtkb12rXg2uIloLCiosjXqMucO/i0ebhkibhzcQSzW5FfbuluiTolZmnxxz6VYsf6U9eKCg9uqZJ29RxLF+lPWi6t/P1sl8m+HMStTLJ7RXxTfcxB1R/dU2TppaWmivb29qNfrRVEURZPJJHp6eopRUVGlxn366afi+PHjS57/9ddfYpcuXcqU+fzzz4vvvfeeKIqiOGvWLHHs2LElx44cOSLa29vfWqGko6L4bSdRfN9FFBcOFMX3HETxj0miaDKVPd5oEMVv2oviokG3HlMJriTmi9+M3yomnMu0uOy7ZduBBDFg8nrxja/333LM35cyxPpT1ovzjsXfcszFrALxoz3RYus5O8T6U9aLL2w6c9OYsK+2iw3e2yjGZFXvd+DCizvF5ouai7tSL1brujVNakGq2GJRC3HVhVU1rUqVUh3Xb1EURcnDUwF00dEofXyQ2drWtCq1joSoo2RPfIUcNzWdF/2O2rr6stgebNQcZ2s77NVmr0uhznLdyZMTc4lPMreyaB/mQ0srFd8fjMeor94tDZmzC6r/rcWEA+Jfb1bZOpbq63aN1NRUVq1axaBBgwBzJtuWLVtITU1FFEWWLl1Kfn4+WVlZN80FwKcVjNsBPd4wPx/wmbl9xa2CU2Vy6PMRxP4L26aXXfOnEjh52SCTCaTEVKyZbFXyQHtfBvq7sjzxCuM+20N+wc3brUcScwDoFnBrz1RjZ1ve6tyQIy90JzDYhT92xPJnzPWu7uuj0slOKWREz0ACnav3O/DalpbedP+03MjX5fPevvdQypT0Cehz5wkSd0QyeCqANioalbSddRNXUmO5NDoSo0JGi0UrcHDxqhE9vK42cz2RnGoReadPpdH5m910+3oXO/6NoyBPS1axgSijgcPHki2yRkUQ1GoMjZ5AZTiO9q8l1b5+RcnLy2Pw4MFMnjyZtm3NqbkPPPAAr732GoMGDaJjx464u5sry962t5tCBd1eh8j15lpEd8rEadzLXJF61+fmCs4WRC6XEdLFmxPbEtAW1Z6L7+zx7RkT5M3WjBzCP9zK6PkHGLHqKCfSzcZ6coEWEfCzK1/G4JqRbVHbq3h5+XF2JmRRqDcwdcNZZDYK3uls2aKr5UFVsqVVe97zqiQhL4FJWyexJ2kPn/f4HHuVZRpV3+9IBk8FqK1NQ2uSgtxMjj39KNYaA34//oiHX80F1pkw1+hwtbZMv52snOueovX74jl+IpVETDzs6USb1jWTKaJ45D0A1IeeR3/a8nEqN/Z1A27b1+3y5cslz//b1y0/P59+/foxZMgQXnmldEmCiRMncvjwYQ4cOECPHj3w9fW1fGZGm0jzz7wKNmgtB+0GNsCoM3Fs0+U7D64m5AoZU0e3Zs0zHfBSK9kam8m+oyk88uN+pu+JYePhROxcrbBVlCM7DnCyUvLTqDaIJpGnv91H06mbyEotZGLfIGzKKcOSKK5W2NbfJzE8P5/9maPpR+ng3YEefj1qWp17BsngKSemwkL0SUmoG92/5d3/i65Yw87REbgla7Cf/Qn1m9/cHqI6sVebS/0XWyiBqkhrvui3tlazKjufSRvPAjBmQHCNNXWUWVuj7bsKk2iHbNVDaP/9y6Lyb+zrBty2r9u6detKtqZu7Ot2u6w4MGe+AWg0Gt59910mT66CEg/XemoVZVtctK2TmpYP+nFiawJaTe3KGgpt4sbS17uifdCb5m19MGqNLPjzPIIg8N2IVhWSFe7rwqHXH+CpAUEM6F6fuWPb81qHBlWk+e1R3WdBy/72/qjlar7p+U1Nq3JPIRk85UR7ydzrR/LwmDGajPw98SH8z2Vh/Og1QsKrrzfXrbBRqZErCrmYnmMReVFJeVgBv77Rgy86BpJ/teiIrIZLV6k79UacuB+TwhfFtkkWlz9v3jzmzZtHUFAQM2fOLNXX7Vrm24193Ro1aoS7u3tJX7fbZcUB9OnTh2bNmhEaGkp4eDiTJln+HFBag9LGnK1VBX+vZl19MBhMRB9Jv/PgakarNyKI0M3FntPv9GHVy+GcfbMX3f0q7vl0tVbxQbfGfN+/Of0Da66xpUIwe5UM98mWVjO3ZmiNWtotbcfUPVPvm/OuaqQ6POVEGxUNgLph4B1G3vuIosj6KY8TtDeBK5OfpGvEmJpWqQR/7yzOxbuRW1yAo9XdB06Losg/l67QVK1CqVbw8EMhtG/jw+9bYwhqVHMpydeQe/qhbx6J8vhktBsXo+7/lMVkBwcHs2/fvptenz9/fqnnY8eOZezYsTeNe/vtt2+dag6cOnWq8kqWh7ajzY1FL++BB94y9/SyEA6u1jQMc+fY5nhCuvggK6vDfQ3x84kkAEa28MFWJaetV9m9nuoS1zw890vQcjPXZkQ2i2R7wnZ+j/6d0c1H08CxZrxr9xKSh6ecaKOjUfr6IrOxTP0VUacje+VKLg0eTNbiqu/wbEk2znqBoD9PkhzZm66jb31hqwkeax0IJmsOxSdVSs7Fsxmc0Op4qsP1TCRfP0cmRbZGXkPbWf9F9cBIANQHXsB4pfZ5Gmqcvh9B5AZzB/YVj8PvE0GnsZj4Fj18yc0oIupQmsVkVhaTycRvBfm0LBTwd62+WlFVjaokS+v+2NKyUljxattX8bTxpINXB8nYsRC145u7DqCNjrLYdpY+NZXzLUNJffc9tFHRpM/6DG1srEVkVzVbF35A/Z+2cnlgGA++Maem1bmJx1q2A0HH76fOVUrO6QRz2nGXVt6WUKtKkDk6oHvQHGsj+7opxrTac+GtNQR0gVFr4aHv4cxaWDwENLdIga8g3o2dsHVUsWXhWYvIswQbTqeRYitjXED52k3UFZT3mcFzDW9bbzQGyxnp9zuSwVNOtNHRFquwnPTSywC4Pf88QQf2I3d1JfWDDxDLqGxam9i3/kfcP1tOQsf69Pm0dqZFu9s64+yUzcHYygWrujiay/TnZhZZQq0qQ9V1MLoHf0EQ9Bh+GAa6wppWqfYhCBD2uDmtPSsGfh4MxZWvoyOTCdg6mdO8xVrQklCjN/B2QiqOWpGHmtdMaYiqQnU1S8sg3h9bWtfwsvUiqaBy3mqJ60gGTzkwFhRiSE6xiIfHmJuLLjERddMQ3F+YhNzREe8P3kez/wBR3buT8NxE0mbMJO3TWbXK63Niz++o3/qC1CBXes39HZm8+lNTy0vr+nZkZDmQr737i7+XmznjKy2j9hsQiuZdydK/gMpwHGa3hLld4Zv2UJxf06rVLuq1gci/ICcBfnsGLHCD4d3YCYD8TMsVu7xbVp9OJc1G4AsfL+SVaOlSG7nfsrQA4nLj+O3ibzR2kjKDLcW99amoInQx5oBllQUMnoKdOzFmZmLXvXvJa3bdulHv88+w69wFQ0YG+Vu2kPXzz1zqP4Dong+SOX9+yR2kaDKR9csScq9my1QH0Wf3oHnpLXI8ben68zoUVrdvUljTPNyiOaLJil9P3hx4W14cbMwNOvP1tf8LVrNtFxpjL0SHACi8Aqkn4coFSDxY06rVPjxC4LGfIGYrHPmp0uK0GrPHQZNXtc1ky8PB1DxUepEHQmoum6qquNZLyyjW/s+jJdCb9Pxvx/9wVDvyafdPa1qdewYpS6scaKOjQRBQB1Y+Q8th4ECSJ09B7lg6c8JhwAAcBgwoeW7MySkxbNI/+5yCPXtw6NsPU0E+6Z+ZG8kZs7NxefrpSut0O5ITz5M0djwytYJWi1dh7WCZon5VSZ8mTZDJz7PicBLPtrs7Gbqrho5KWfvvCTRnClHbZCEL6QMHzQ08UaihMB0KMsDu3rsAVopGvSDsSdgxE1qNMr9Xd0Fhrpbze801hVx8ar7dTH8/Z37LSGPHxSsMaHZvbWmp76PWEpdyLvHxgY+5lHuJXwf9iotV7f/OrStIBk850EbHmDO0rK0rNE80Gik+fx5Rq8O6VRjGnBzyN/8DcMdsL7mTE+4vTML9hUnk/vUX2cuXkzptGgD2/fuh9PQibcZMtLGxCDI5uoQEPF57DavgoLs6x7LIzk7hdOQInIpF/JYvxtk7wGKyqxKlXIaPRyYpmaq7llFkMG93WMlrt8FjSExCp/HFuV0qDJgFPd6Ez4LAoIW1E8yD5Cp4KxnkVdvRuk7R+QU4vgSit0KTAXceXwaxJ64AYOOoQmVV81+lXo5WkAFZ+dqaVsXilMTw3AdbWm/seoMcbQ5f9PiCJi5Nalqde4qa/5TWAe6mpYQoiiSMG0/hnj0AKOvVQ5+WBldL9lekAanjwIE4DhxI1rJlKJycsO/XDwBTcRGFe/eByYSo05H04osE/rUe4XZ9icqJpiiPPZEPUS9dh+OPc/AOCqu0zOqkY6Arq/Yo2RMXTZeAim9FWqnMd5Q6Q+0OJNds24uAE9YP9jC/YOMCzYbCxY3QZBCc/BWMOlg2AlJPQNOHYOBnNaly7cCjCbgFw7k/79rgObDOXIz0gSdrx0UprJ4jdmdM7C0u4MmaVsbCXIvhuR8K8KVp0nik8SM86P9gTatyzyEZPOVAGx2N49Vuz+Ulf9NmCvfswfW5CagbNUKzfz9yR0cUHh4U7j+AbYcOFdbD5fHHSz33vurxASjYtYuEsePQp6Sg8vOrsOwb0Rl1bBo/hEZReQifTyWwQ69KyasJ3n6wN78fWs9zy3az7SVP3Gwr1nzP2dbsHcosrPnYjFshiiKaKBlWTgnInHpfP/DIj9d/z46D+H0Qs8X8/NCP5saa0jYXhkZdkR1bhmD4CqGC21oGvZHiAnNbifrNar4QJYBMJkNpgtptot8d1+rwGO6DGJ7mbs05mXGyyuSbRBN/RP/BiYwThLiEMLjhYGyU907NptshGTx3wFhQgCElpUIp6caCQlKnT8c2PBy3CROQqdU4Drxe5dXlKctVxS3hasaJqK/cHZAoiqx79TGaHUyl4O1xtOv/+J0n1UKcbeyZ/nAD3vw1hbbT/6VFYA7rxj6OcLXT9oYLx5i3+yQZeSZa+tkw56FHUN3gGXNyscYZgai02pvppD93HoPeA8fWt7lY9/sE9n8LnSZBxgVY8yxs+wAivq4+RWsZBl0OOf+Mx+noJnRygcKM7bh696uQjBNbEwDo/HAjhFpUZVkpQtI9mLqtLqm0fO8bPL38e/Hu3ndZfn45VnIrNl/ejEavYXL7yTRzbUahvpC/Lv1FT/+euFq5lnynlZdVF1cxff90Gjk1Ym30WmYfnc2AwAEMDBxIqHsoMqF2b+NXBsnguQO66KstJSqwpVW4exfGzEw8334LmfruAiIrSv6OHSj9/FA1CKiUnLUfjaHZ3xe5Mm4IXUf9zzLK1RAjwzriZHWS5xYlcOqSEzO3/c3iPdkUaa4FjLsBkJwGQYc3EeiTy8AwN17p2htBEPBQKtiZnMsbNXcKt0Xz73FkggNW3R649SCfUHj4aiCz29X01qOLofPL4NawynWsbRj1hRR9HYRbvpacoDac89HgkL2lXAZPSnQO25ecJ7CVO0c3xdOkszet+vjfcV51IlPIOKQSMZlMyO6h1HTFNQ/PfWDwDGo4iEOph/j4wMcAtPZoTZ4ujxe2vsDaIWt5Y9cb7E7azfT905ELctys3fCy9UItV+Nq7crzYc9T36F+mbJFUWTJuSX0rt+bL3p8QXJBMisvrOSv2L/49cKv+Nj60L9Bf/o36E+wS3B1nna1IBk8d0B71eBRlZGhZczPJ+Wtt5A5OOD+4ksoPc3VTYtOnkLu7IwqIKD69LwYhVWTYARBwJibS/LkKRSdOoVd1654f/RhueJ6sq8kEbx0Hwn9w+jzysxq0Lrq6d+kJfNHy3n2pzjm/WMCzMZOg3qZzH+iD2q5gr/PRfHN9oskZQt8vUHPxtM/8de4UVzQ66F2NcMuQTSa0MTbYe2RimBVzngwpTW0HG6O67m04740ePJW9sc5X0tuw5Y4Pb4Nz9iviY//EaOxGLn81uUWMhLyWf/tSXRFBo5svAyAb7BzdaldbuwEGWBia3QmvYPunW1LQRAQkWO8B71X/0UpU/Jx1495pe0rKGVKHNWOpBam0n9Nfx778zHSNel8HG42hjR6DWmaNNI0aeiNek5mnOSpjU8xt9dcQlxDbpK9I2EHsbmxvNvxXQB87Hx4uc3LvNj6RY6mHWVD7AZWRa1iwekFALzU+iUGBQ7Cy/beyPqTDJ47YLiSCUDB9u049O9f6ljWL7+Q/88W5M7O5G3YiF14FzSHj2DMzsZpxPAKuxorg6BSAgKmwkLix41DF3cZ67BQcv/4A9fx48qVUi9qNMhEsO7SseoVrkZ6BTVjUv9Evt+SzbShfjzcvA22qusXt2c7uvFsx06YTCbe+fsvlv3rQZ/vlzDIK4j1qZWvyFsVaA8ewmRywqZjxWKT8GtvNng2vGIOYo6ofe1Bqori5H04R50AQAgZDICX5yBiY7/iSuY2PD1KBy/rdUYEAQw6E3/OOY6juzXdRwaz/tsTNG7rSaM2ta99w2eN6vHQ5QQuZBfSm3vH4DEjuy+Clq/hZu1W8ruXrRcRDSP4M+ZPvujxBT39e5Y5J7s4m4lbJjJ602i+7/U9YR5hRGdHs+nyJvYm7eV05mk6eHWgjWebUvNkgoy2Xm1p69WWN9u/ydfHv2bh6YXMPTGXOUfn0N6rPYMaDqJP/T51Ot5HEGtDTXQLkJeXh6OjI7m5uTg4OFhMrkmrJW74CBSurvgvmI9JpyPrp58Q9QY0hw6BKOL73bdcmTsXzcFDGDKvYNe9O17vvINQjdWI0z//nKwlS7EKCUF7/jz+P/+M5tAhMubMIfjgAQTVnVO002POkDnwUa58PJGuD79QDVrXTj7cspH5W/SAHCdB4PiMu8viqUqyvlyKNsMKr+lDEOQVvG/50MOctg7mejQPfWt5BasATcpuivd9irIgB5NXU8TUEwjF+TgmJ6BVK9G06IPTgF8QZGV/7nK2v4TTzkXolAKqt3NKXj90aChKpRNhYQtLXkuOzuHPOcdRKOV4NXQk7uQVHp/WAWcvW0RRrNabmfJiNJoI//M4sY4yPnN248kw35pWyaI0X9yWbo3G8F3n52palRqh2FBMZnEm9ezq3XZcob6QiVsmcin3Ev4O/pzMOIm90p5w33Cz4RI4CCtF+YrH5uvy2XJ5C+svredQ6iH6BvRlVvdZljidUlTV9fu/SB6eOyBTq3F8aAjpMz8h6dXXKNy9G2Pu9bt+13HjkNvb4/n66zWoJbhERlJ87jyGK1fw+ewzrFs0J3vJElQBAeUydgASLp/CBvDyvr9Lmb/Tqz/5+b/w6wEXFLXwdkAs1lKU7oZd/eSKGzsA71wtSPhZI3MtGv9O0Lp2JzLnHvoUuw0fYXPt73HpBAUOtphU1mT5+iLXFuF8+C805/0Qhi/F2u/muCbHbp/DzkWo9CLF6Uew8jDf5fr7j+H0mZfIzNqNq0s4AAlnszDoTDRs7cGF/anYOatxdDfX4aqNxg6A1mAi0VagcYHIkw/cW8YOAIL8vojhuRVWCqs7GjsAtkpbZj8wu1Q9n+6+3VHJK16XzF5lz9DGQxnaeCi9V/XG08bzblSvNUgGTzlwHDwYzYGDFJ06hX2fPti0b0fy65MBsGrerIa1M6NwdcV//o+lXlMFBpK3aRMmnQ5ZOYye1I1/UE8B9epYzZ2qYKDWkb7Yoo6ofR/wop27EUUbbLqF3r0QO3f431n4simsex72zIb8ZHAJNG979fnQHPNTg4iiSH7aTrRnluKy5zfyPNyxfnQVKhtvjOixsy19Uc/b9Taq3XNh6WMURf6FtVfp0g/Fyf9y7YzEG5K3PTwG4pS0lPPn36F9u3UolQ5Y2SmRKQR6RTal45CGqKzlyGp5EUobtYImRQLJisonpkdFRfH0009z5coVHB0dWbRoEc2a3fxdt2DBAmbOnInJZKJnz5589913KJVK4uLiiIyM5NixYzRo0IDjx4+XzLndsdsjw3gfbWlVBicrJ+b2nmsxeSkFKaQWptLKs5XFZNYEtfsTXEtQuLri9/13NNq8Ce/pH2DfuzdyNzesw8Kw71n2XmptwL7nA4jFxRRs33HHsanpsXhtPk5K/1Y4uN4bAWp3i0FvwOmsDK1vAl063xz4V9NojqahUsWhDKnkl49jPXC6ms2ReRF0BeY+XIfmw0desO9bqKEdb9FkJGdxBxzmDsF910o0rh7YPb0bK/cwZLaeKG1v9mA4dP0IMXI9AgIsHkzOPxPJXdSR3H+nkLtxNNYLhgKQFdYTa4/rPUcEQaBpyKcYDLmcOz8FURTJuJyPo7s5VsHOWV0rKimXB50okqcSMFby7zZ+/HjGjRvHxYsXmTJlCpGRkTeNiY2NZerUqezatYvo6GjS0tL44QdzRqCDgwMffvghy5Ytu2ne7Y7dDkGQ3Rd1eGojx9KPARDmHlazilQSyeC5C2RWVjTatpX6vyy2SFXjqkLVoAFydzcyZs9Gl5Bw27En18zHRgudXpheTdrVXs4cPYyLzhG/bk1rWpWbMGZmU5zrg01jESyxtfLySRi/C145D02HQN8ZEHQ1RXvTW7DsscqvUUH0eZfJXhuBU+wFcjo+hul/J7F//iJKmzsb4tbeneDJNSDIcNqzFMe4czhum4vjgdUlY2y6vHfzPGs/moZ8SkbGZs6fmkfUoTRCOntb9Lyqg2SViLO2cl/s6enpHD58mCefNG9zPvLIIyQkJBB9NWP1GqtWrSIiIgIvLy8EQWDChAksX74cABcXF8LDw7Eto6L87Y7dHjlG8V4sq1j7OZZ+jPoO9XG1rh1FNu8WyeC5S2QqFYKydvcmEhQK6i9ahD41ldRp7992rPjvfjJcFDj533+pyv+lIDkLraAjqFmLmlblJjRb9wAmrB8Mt5xQ75bg4A3DFkOnifD4r/DM3+ZjUf/ANEfzY8NkuLAJ9n5dUujS0hiLsxG/aY3Lqd3kNA/Hqd98ZI5l1xS5FWrfrqgmnSL7gbEY3oghp3U/9HKB7AZNML6dhNUt7lLd3Xvj7zeGpPQvcG+cTMs6FgdzKjGXApVAM5myUnFGCQkJeHt7o7h6MycIAv7+/sTHx5caFx8fT/361/82AQEBN42xKIJc2tKqIc5mnaWFW+37PqwoksFzj6Nu2BCbVq0QrG8dlX/p/H78jyaTGxZQfYrVYtSOtqhFFRlpqTWtyk1ozhZjZRuD3OfOZQYqRf1ON792cB4sHwab34GZVWMM5O5+A5XOQO4DE3B6+M+7liO3dse5+2corNxwivgV5dQcnJ8+gFxpd9t5DRu+jqhtiH3QbAryrtz1+jcSFRVF586dCQoKol27dpw5c6bMcQsWLKBx48Y0bNiQsWPHoteXLgIliiI9e/bEycmp1OuzZs2iefPm9Ovaluz3XmW87+3Psa4iCHKM0pZWjaAz6rBVVtQjV/uQDJ77AF1CAiq/6xVhc1Pi2fbLDP6ZMYltfduhfegZDDLwGVz92xe1kYZhzcmTF5Kw5AjJly+z7bffiXtjBzv/2VCjeuljE9EXe2LbourSNkvx3AF4dgtMy4WXT0PjvteP6QqrZEmlg9mQE1R2CDVQKVgmU9K2/fcI8mL2//sCJmPlPVmVjYe5xpdffknDhqU9sP/88w8LFy5k37597D5wDEVQCNOmvVspff38/EhJScFwtdGxKIrEx8fj71+6qrS/vz+XL18ueR4XF3fTGEsiIMN4H2dp1SSiKJpj4+o4ksFzj1JkKOJ81nkARJ2OKzu3oMnLZuPM57kwsB/eHy3Gc8lW8h2UpE5+nIa7/6VN/yro8VUHcXZxJWOggGe2E6bv4wk64ooCOQ232pOYfPnOAqoIzbZDyMjDqmc1dVH2bAK+V4N7nfzgiZVm48f2akG7QwvAcNULceUi5KVAbhJM94DvOsG2D8FYsQuUXZtXABAOzbfUWVQYZ/cA/Dymo3A4zP5tn1dKliXiYQDOnDnD77//zhtvlG50cuLECcLDw7G3tyfA3Rabdl3Ys3ENV/K1d62zh4cHrVu3ZsmSJQCsXr0aX19fGv2nvc4jjzzCunXrSE1NRRRF5s6dy4gRI+563TuhEwWO5xdUmXyJstEZdWQUZdTpgoPXqL0RtxKV4u3db/PP5X9o4tKE7n3dePDn01xu35kAIMVThfcvP+DTOIyWqurp9VXX6N65Lwl+sZxfux+tqCM0xex5OH3gIL5DKxZTYglEk4jmkhJr18sIDgPvPKEq8W0HFzbAX6+YHy1HwskV5mMKNRi1kH7W/Eg9CY+vLLdoXd4l1IBSV7OxGiGth5C+cR8a5Y9cOtuRwKZd70rO7eJhbjQgbhcPo9frGTt2LAsWLED+n2Kmbdq04bvvviM1NRVPT08cN/1NRlEhzbbsI1DmQAeZmp6ejoQHueHiVL5icwDz5s0jMjKSjz/+GAcHBxYuNBdlfPbZZ4mIiCAiIoLAwEDef/99unTpAkCPHj0YP348ABqNhqCgILRaLbm5ufj6+jJq1ChmzJhx22O3RZDjVH21XCWusv7SerKLsxnScEhNq1JpKuTh+f7772nZsiUODg44ODjQqVMnNm7cCJjdmYIglPn47bffyiV/woQJCILAV199VeETkSjN5bzLJU3l5vmcZ3k385/6XP8mtF+3Db9mHZBLxs5t8fNrQK8XRzLwpaeRP1+feNtUrBJrJk1be+wcRqMjNm1rQSDto4tKPz+5HORKUNmAoRiCB8JbKeZjuUmlxxbl3DbgufDoVwCYBnxqMXXvls693seoCSQq9jUKci0Tz3M3vP/++zz88MOEhNxcIuGBBx7gtddeY9CgQXTs2JHRHcxjJlo54aqQ87uVjnGFV2h69BzNNhzly12XyrVmcHAw+/bt4+LFixw+fJgWLcwBq/PnzyciIqJk3NixY4mJiSEmJoYFCxagvJrIYWNjQ2JiIhkZGeh0OhITE0sMmtsdux1WMjne6tqdKHKvYTQZ+en0T/T070mgUxXHDVYDFfLw+Pr6MnPmTBo3bowoivz8888MGTKEY8eO0aRJE1JSUkqN/+GHH5g1axb9/9ODqizWrl3L/v378fHxqdgZSJSJo9qRAIcAPu/xObnaXOxG2WHUFhNiXfcDz2oCbz9/ztnsxT6r/HfJlkSz5xwKmRFVl0E1sn4plGp4NxvOrAE7T3Mj0q6vmgsVFueCtRMcM2+H0PSGu8Ljy+D358A5AF48XmZavczG3J/KJKv5EtdKpZrW7b7l2Imh7Nv5Ag8OWlrhDuQ3xsMoFIrbxsPExMSUPL8xHmbnzp3Ex8fzzTffYDAYyMvLIyAggEOHDuHu7s7EiROZOHEiAPv378fX15f3+ocBoDeJ7EvO4WhCDksLc1iYm8P/KvGe1CSCIGBCSkuvTrbGb+Vy3mVmhN/ZIK0LVOjTO3jwYAYMGEDjxo0JCgrio48+ws7Ojv379yOXy/Hy8ir1WLt2LcOGDcPO7vZZA0lJSbzwwgssXbq05A5BonKEuIRwPOM4JtGEo9oRuUyOSjJ27hqjyUhQRj28i+6+DsWOFb9z4IM1bFu+pkLzDJcuoEn2MHdGV9WSfXSZDFo8Cg26woNTzd4dQTAbOwANuoMgh+0fweww+PNl+GOS+Vh23HWD6Born4bvOkJWLABq35tbQ9QE7t4N8XZ+D5ndQQ7trHijVUvEw+zatYvLly8TFxfH7t27cXBwIC4uDnd3cyzVtRtNjUbDu+++y+TJk0vkKmUC3XydeblTA/rY2ZKnNAeg1k1kmKQ6PNWGKIrMPzWfDl4daOFe91PSoRJBy0ajkRUrVlBYWEinTjensB45coTjx48zZsyY28oxmUyMGjWK119/vczS5bdCq9WSl5dX6iFxnVD3UNI16eTr8mtalVKUN0UXbp2GGx8fz+DBgwkODqZp06Z8/fXXgPmuWC6XExYWVvK48a65MsiE6x+Vf3dsqvD8hMRYGh13xVlrT9AJdy5fjCr3XPFqXLBJrEPpxk5+5gyv+uGQlwhHFoIggzGbzccvboKCdPPvKSfh7O+Qfg513BEAZHdIH69OWnR4BJlmCPnG77h88UCF58+bN4958+YRFBTEzJkzS8XDrFu3DqBUPEyjRo1wd3cviYe5E3369KFZs2aEhoYSHh7OpEmTyhznoVJSrJJRUFw3a9kIgiAZPNXItvhtnMs6x5gWt7+G1yUqHLR86tQpOnXqRHFxMXZ2dqxdu5amTW+uSLtgwQJCQkLo3LnzbeV98sknKBQKXnzxxQrpMWPGDN5///bF9O5nnK2cAYjLiyPUvRI9lyzMtRTdyMhIVq1aRWRkJIcOHSpz7LU03KNHj5a8JooiQ4cO5Y033uCxx8xp9GlpaSXH7e3tK9Cbp/wIgoDDm805/uMWAv72YEveWnpFDC33/CuJKbgDV+pp8I+3Iicrk/qUr0mrMjgYa+cDFKY1wNlkhFt0A6911GsNz/xlbk+RcBA8m8E/V1OmY3fCZ43NGV/q62n21hmJ6OUCcqF2nWOX3h+xfdNJzl/8H+71NmBj61TuudfiYf7L/PmlM9HGjh3L2LFjbysrICCAnJycUq+dOnWqXHrUt7eCzFwuphfQpr5zuebUJgSEOuydqlsk5CUwde9Uevj1oKN3x5pWx2JU2MMTHBzM8ePHOXDgAM899xxPP/00Z8+eLTWmqKiIZcuW3dG7c+TIEWbPns2iRYsqXBn0zTffJDc3t+SRcIfWCfcbYR5heNp4Mv9kzaX3/pfypujCrdNwt27dilqtLjF2ADw9q6fBp4OjM11efpgUpyysj5nvknU6bUm9ktvh39i8hWGVaf7I3S4WQXtgL0lvbER/ZGfJa9YtvQAFufMWV+IMaghBAP8O5syuwwvAuQFo80FpC4VXICsGZNe3svM7P4FMVXs8PAAqtTWhYd8gU+VwYPu0mlbnrgj1sQfgZFrt8vqWF8nDU318evhTHFQOfBT+UaWqdtc2KmzwqFQqGjVqRJs2bZgxYwahoaHMnj271JhVq1ah0Wh46qnb13XZtWsX6enp+Pv7o1AoUCgUXL58mVdffZWAgIDbzlWr1SXZYtceEtfZcGkDaZo0onLKv3VS1ZS3ZP21NNx58+bdlIZ79uxZ3N3dGTFiBK1atWLo0KFcunQ986SwsJB27drRunVrPvjgA4wVrANzJ+QKOVqZnkI7LRcvnCFu2k5OTd/A2ZPHbjvv7JJdAHgUOgHg5OV+y7G56y8iYkfabzJEnQYA6z69sHK8RP5l/7p7l3vial2Zp9YBIrQcBk/9AVZOcEPLAGX0TkSTvkwRNYmXfxNsGIXRagPpSRdrWp0KU9/FBplJJKGwuKZVuSsEZIjU0f/9OsTpK6fZkbCD58Oex0F1b11XK1140GQyodWWLnK1YMECIiIiSoLqbsWoUaM4efIkx48fL3n4+Pjw+uuvs2lTxeMkJK6zIdZcFfjTbjWf3ltRbpeGazAY2LZtG1OnTuXYsWP07duXYcOGAeDt7U1SUhKHDh1iy5Yt7Nq1i88/r1zhuP9iNBoJzPLGWq8iYe85ZKIMjUqHw7ICUlJu42XUmg2vS+6pxNgmElC/UZnD9GdOoNNfr6abPfM7AAS5DPR6BIx1947LaAAEWDXa/Lx+Z/j7TSjOATsPdL3ewigXsE9JIP9qenpto03XFzDq7Dl55JOaVqXCFGiNmGQCTsq6WX5N8vBUD98e/5YGjg0Y0GBATaticSpk8Lz55pv8+++/xMXFcerUKd5880127NjBE088UTImOjqaf//9l2effbZMGU2aNGHt2rUAuLq60rx581IPpVKJl5cXwcHBlTit+5tDqYfYm7yXdzu9S0v3ljWtTgnlLVm/c+dOvv76awICAggPDy9Jw83IyMDf359WrVqVBLiPGjWKo0ePotfrUavVeHiY05pdXFwYPXo0u3btsug5GK5WFm6Q403wBU/S7LPxGWWOkTq08O8y58RFR9Egy5sTzeIJzPCisBG3NFoEZ/NNgii7go1zFBpNBxLf2EXeD/Mp1gRbpkN6TWHvBYiQdAga9TJ7eLR55mDmofMovrASudF8B2/IuXmbszZgZW2Hs80YsN1J3PmyY89qK1ZKGTY6E4dzqqYtSFUjCJKHp6o5nn6c3Um7mRg6EXldiRWsABUyeNLT03nqqacIDg7mwQcf5NChQ2zatInevXuXjPnpp5/w9fWlT58+Zcq4cOECubm5ldNa4rakFpqbXvYL6FfDmpSmvCm6t0vD7d+/P4mJiSQlmQvabdiwgZCQEJRKJenp6SUNF7VaLWvWrKFVq1YWPQe12gq7d5pzqJF5q1Boao+TnQsAMm9r9m/ewr8bN/DnsqXs2vI3+3dsI33paTKVuYSeMRt2XfuXfee0a9V6UueYs8oSFQY0T1zPWsy7FIzKNgmPcWV7hu6EJRpY3uqYyWTitddeo3nz5jRp0oQxY8ag0+luFt5nOniHQqdJ8ORq82tDvgVBjvjLQzgkmI0cvUKGOrAW1Bu6Ba27jMakcyTq8jNkpSXdeUItQaWQM1xuyxZrAweiM2tanQojIHl4qppvjn9DY+fG9Ako+/pd1xHEOhsQUJq8vDwcHR3Jzc297+N5zmSeYcT6EawYuIJmbuVP9a8OLly4QGRkJJmZmSUl61u0aFGqZP2NxMXFERYWViozZfPmzUyePBlRFHF0dOTbb7+lRYsWrFmzhnfffRe5XI7BYKBnz5589tlnqNVVU1G6qFiDWmXF1nW/E7L/1tu3sfbJeD3UDOtfstEKOhrOuLkX1sG/t+Gz43rg7qQGHzM0MJhRnT/EFHWAgj2pODzeH5mzy13p2rNnT5566qmS7LhPPvnkpuy42NhYunTpwtGjR/H09GTIkCH07duX559//rbHfvzxR5YvX87ff/+NUqlk3LhxBAUF8frrr5dPuZxEjD/1Qp6XwrlmXjTstwmVfcBdnWd1kJKyhrPnXkcUwaDxoUOn5Ti71YIK2OVAozfQ7p9T2BhF1vdoiqd9zRTSvBu6rHkCQe7I7iHf1bQq9ySHUg8xetNovurxFQ/Wr6Z+fVepruu3ZPDcg8TmxhLxewQL+y6krVfbmlbnnufo0b0ofs8ip51ASHhbbFS2XIq7QEpyAlbOtnRp3ZNdGzbQaLcTBU850qTpzduMx6f/hVuhA5rRLsiRMWXPCJpbeTBt5D+V1i89PZ1GjRqRlZVVUu3X29ub3bt3l/KuzZo1i5iYGObOnQuYvWcff/wxu3fvvu2xSZMm4ePjw1tvvQXAmjVrmDZtGidPnqyQnmnbx3Fa3Eozh5F4tf2w0ud9J4xGPUnJS8jO2ofBWIiX5xDq1RtW5li9PgeZzBaNJpqDhyKQy60IavATp05PQGYIoXfEkjLn1Ub+jbpC5KV4nPWwPjwEbyfrmlapXISvGYVJZsveh+bWtCr3JBO3TCSjKIOVg1ZWe5xgdV2/62b0msRtMZrMAbL34h5sbaR1687QuvRrLZq1oUWzNiXPjZlarihzCLtFE8piuZbT9eLoF2Q+HnjQiUvabIvoZ4kGlrc71qZNG+bNm8ekSZOwtrZm5cqVxMXFVUjHovRDxBftQqEQcQ4YTtK+l7icswE5MlqH/4PS3v/OQirI+QtvkJr6e8nznJz9XIyaRnDQNHx8hhEd8xnJyb+i12f9Z6ZAq1bLcXRoTtKlMeQavyAjOQp3n/LVVappujV2Y6lMYGR0PJN3R/PLoLpRRVcQBESptUSVIRfkOKmd6m5SRDmodJaWRO0j++qFMqc4h5icGIoMRTWskYTCTo29wQaDvuyaPXqZAYXp+v1HrC4HP5VjdalXKSIjI+nXrx/du3ene/fuBAUFlRhX5cFYlMnRoyPQCTpaBc5Ar0nhvOZPbEw2FKr0JB+vmgKjWVl7EAQl3budILzLAZydu2AyaTl3/k22bmvI5cvfl2HsQJPgD3B0aA5Aiw5PYdLbcPbED1WiY1XRqaErQ2VW7FQZyM3T3nlCLUDg3r0Q1wZCPUI5mXESg6luVuIuD5LBcw/SxKUJDioHXtz+Ig/98RD9V/cnJscyLRYk7g6PEH/Uoopj28vOGlOJSnSCOdA3Ofkw5+UmOtYLt8ja5c2O8/f35/LlyyXPb2xgebtjgiAwbdo0jh07xt69e2natGmF2sRknf6GYhWEtphHQcZ+jp99DrVeoGXv3TgWW5NdcPsaR3fDlSvb0OkycHHpikJhh1rtRutWi2nf7k9UKnM8lr19SxQKJ1RKV7p3O0XnTjt4sGcM9eo9XiLHytoOlaE/Wtnf6IrrVvbTky3qoVMKrD+VcufBtQFBQJSClquM+g710Rg05Grv3aQiyeC5B7FX2fPb4N+Y12se8/vMx8XahTGbxnA57/KdJ0tUCSFNQ0lQp+K9TcHOA5tLFQ80GU1YF6kwWZnvYL/d9hp2JpEH2zxnkbUt0cDydseKi4vJzjZ7Fa9cucLMmTNLNbC8E2lXNmKjVVCYuotzRetwFN0Ia/o9uvxYctVFuNhYdstFq83k5KnnEQQlwUHTSh2zt29K1/D9PNgzhvbt1tK92xG6dj2IQmGDtbVfmfKatByNTFHEqUPLLKpnVdPa0x5HrcjWrLpReVkqPFi1pGvSUclUJW2J7kUkg+cexcfOh871OtPBuwPz+8xHROS3C7/VtFr3NfaPmQsKNlxrzbbPl3Nkzy7OHD/Chrm/4KJzIKBtU3bu+4x1xkwmB0RgY+dlsbUr28Dydsdyc3Pp3LkzzZo1o2vXrkyYMIHBgweXSy9jUQYZynS8bdoTm7Ect2JHWvQ/gJ1/H5JOTENmAp+2Myz2PgCcPvMCoqijadNZWFvXq7Q8L/9gxMI2ZOT8jLao7mwfC4JAG6OCg4Iek6n2e04EQQDJw1NlJBUk4WPnU6pR8r2GFLR8H+Bi5XLPlQivizRv3hrxY5Gj23fhuMsGzz8BNDQT/DgblEzHhp15afUiwhV2PNTdsllKlmhgeatjnp6enDt37q70MhSmYhIgo/AIhVZGgjyu999L157GXaiHwtbnrmTfCqOhAJDh5Vk+o6w8NG/1FmcuPMrBnV/Rtd+bFpNb1QzxcWZbzhX+Pp/BgKbV05PubjF7eCzbKkbiOikFKXjbete0GlXKvWvKSZTCSmFFelF6Tatx3yPIBNo82I3W70agG+dB0WgXnN4Mo8/o4Xy+YTSFArzXey6C7P74aKrdWtBQ3oF8dTHuWlecQ8aXHFOJKtLlSeTFrLLomnZ2TQATBQWWq+bs7ReKQjeEYtkv5GXXnWKEj7T0wbPQxJzo2h/HI0gxPFXKNQ/Pvcz98a0qQb+AfmyM3cgH+z5Aa6wbWRn3MjKZjMDAYBoHNcPZwYWTuz9hjS6VV+r1xss7rKbVq1YCeiyne5cjtOi7H0F+3encouNqVEYZiVFzLLqeIFMBIJfbWFRu645vIprkHD84+86DawkKuYynHBw5bg/7L9Xu6ssCMpBieKqMlMKUe97gkba07hNGNx+NvcqeTw5+wsXsi7T2MBeOsVJY0dytOV18ukh1e2qQ1cfn4mul5tEHZ9W0KjWCvIxASZVLMEpRiYnyd06Piori6aef5sqVKzg6OrJo0aKbMsZiYy/x5pvJxF4KIjCwEcePH6+s+gA4uLiiMgxFq/6NzLRJuHpavnZQVfBch/os2nKSsecus8XVFk/H2ll92ezhkQyequBkxklytDmEuNzcsPleQvLw3CcIgsCw4GHM6TmHQn0h2xK2sS1hGysvrOT5rc/TeklrRq4fycoLK6V+NTXASVsHOildkMmle5Br6PMTyFfrcHFsX+4548ePZ9y4cVy8eJEpU6YQGRl505gmwZE884wrU96wR6OJpajIcltQbbu+iGiw5tCeVzDo60a8iY1awS8tAilQCAzfeY7iWqq3lKVVdSw5twQ/ez+61OtS06pUKZLBc5/RpV4X1g5Zy/qh61k/dD07hu/gl/6/8HLrl7FR2jB9/3RWR62uaTXvK/LyEokRjLSwUN2de4XiK0cBsHHvUK7x6enpHD58mCeffBIwp9InJCQQHV06VicwsA/PTzyDh0coJlMxe/f1ID1js0V0tnN0o4H/ByidjnFw2/cWkVkdhPk78ZW3Fxdt4dlNZ2tl1pa5AnDt06uuk1aYxj9x//B4k8fv6QwtkAweCSDMI4xnmj/DzK4zAdAapBif6uTkhbWIgkCrRgNrWpVahdrG3JBTp00t1/jbtdD4L0qlI40bvYG1dQBgIi3tT0upTeNmg5AV96NQ+A5NQYbF5FY1Q1p68z+lA1tsjXyw3XIB3ZZDAGlLy+L8euFX1Ao1DzV6qKZVqXIkg0eiBKNodmVfKbpSw5rcX8Skn0JtEqnvX3afrfsVUWmOJREM5Y/huVvsbIMsKq9lm7cBOH7gG4vKrWpe79aQiCIl8yhk5bHalW0mE6p2SysqKorOnTsTFBREu3btOHPmTJnjFixYQOPGjWnYsCFjx45Frzf/f8bFxdGjRw8cHR0JCwu7ad6pU6fo0aMHISEhhISEsGbNmio7l/KSU5zDbxd/Y2ijodip7GpanSpHMngkSjh15RQADZ0a1rAm9wcmo4m1m7ZyeH8DwmOeojCn7LIBxuIiErb8Q8q+A5gMtTO+oipQ2vohiCLa4vKlTJe3hUZZGE3FldL1v7h6+iArGkChYTWF+Tf346rNfNs3hJBCgbdT00jJqT2FFKs6Lb088V+xsbFMnTqVXbt2ER0dTVpaGj/8YO6j5uDgwIcffsiyZTdX3NZoNAwZMoQPP/yQc+fOcfr0abp2rdkbnDOZZxi+fjgATzZ9skZ1qS4kg0cCgO+Of8crO14h1D2UwQ0tV5DtXuZWd4QFxQUUaK73VSrrjjAt8wqjnn6F/416nlXfzOXX775jzJDRpWInZs2aRfOmTWng25BBY99nyQ9p/PzSOvZ8uZQrJ09X+/lWO3IViCDqytf6oLwtNEotIbcG5KSm/mEJjUvRqtPLIJg4+O97FpddlSjlMuZ3aoRBJjD23wu1Jp6nKtPSyxv/tWrVKiIiIvDy8kIQBCZMmMDy5csBcHFxITw8HFtb25vkL1u2jI4dOxIebo7Tk8vluLu7V8m53AlRFFl1cRWjNozCxcqFlYNWUs+u8hXH6wJSSogEepOeuSfm0rt+b97rVLe+nGuSa3eEkZGRrFq1iidHjeLJx19DEeOKIMoocE2n38imTJ06laNHj2LjYEefPn157OFn6RgyAL/iEJ7p1RY3Bx/0Bh1f//U6740axweL57Jl23YW/vQTnw55loScFkRrV3I2dxHPBPXjfJQHxy+k42q1jKAQkUa9O2DfoOHVoM6KYchK5uLGXWQlFRLYpQk+XTpXwTt1d6Qf/whRJuDkF1HuOfPmzSMyMpKPP/4YBweHUi00IiIiiIiIQKPREBQUhFarJTc3l8cfV9OzZwYhIbtxdbFc4LiLhy/2svEUWs8h+sxgGjXrYzHZVU2gux1vOrrwblE23+yN48XwwJpWyezhqaKg5dvFf91oMMfHx1O/fv2S5wEBAWXGiP2Xs2fPolarGTRoEImJibRs2ZLPP/+82o0eg8nAB/s+YG30WoYFDWNK+ymo5Kpq1aEmkQweCZQyJfYqe5q6NsVR7VjT6tQJrt0Rbt5szu555JFHeOaZZ8k6XoRveCGm4044Znrz9vOzaBISypLFW1HGudLaYRCbDi+jd72nsfV0QWaUI8hAqVDRwDOAIxf0/PHGL2w9sxYvuQ+Xc1rRq7+JDn4T6dGjBwvXrKFLcSEJW3dy4UAxB4/5sO9YPDbyU3g45+Lpq8YzpD4eYS1RO956T744KZrTv27iZLQPxSZXBJy4nJzEE7UoKzUtfT2OWGPfYEi555SnhYaNjQ2JiYkAGIrzif5iHJqTR0m7vNaiBg9Aux7P88/6LcQUv4WrRxOc3etGbR6AcR3rs/nPXD5X59I3NZ9gL/sa1UdAVmfrDhoMBrZs2cL+/fvx8fHhrbfe4rnnnmPVKstWEb8TP53+iT9i/uDDLh8ypFH5P1f3CtKWlgQAXrZepBTU/vLytYWy7gidbTwo8k4kzCsUAO/mtuTmZ2FT4IU+XY6idR4PPteCrOIUvAaIPPluZ+oFOfHolLbkabI4eHEPz43uQrFOhZWyPeeSTtJtiJagiAdZunQp+fn5ZGVlIbeyJWDgAPp+MJpnZrSn/yAtIY1zMOhMHDthx7rlxcyfcpClL//Glo+XcXLlFtIuJGPUmyhISmL3pwtY/OEFDkc1omFDPU+83YKubRPJLXbCZKrAFcVkIu7PP4jZsBWT1vKZfUbBhBKlxeXeyNknwhEXH8f6uIyi5dstLl+uUNCh83eAwMH9z6AtyrP4GlXJ9z2CURtFXj10qaZVqdK09PLGf/n7+3P58uWS53FxceWKEfP39+eBBx6gXr16CILAk08+yf79+y17EnfgQtYFvj/xPaObj74vjR2QPDwSV2ni0oSNcRvp16Af7bza3bWcYkMxVoraWam1KtGbzJkaaqUKrwbmRq1ePq607twIN0833nhnOIIgcPbsWeztbXgk4kEAHnqlNXl5efy04z16hQ1Hr2nDiNltGAE0+M6FZ6ZORT5tGkOHDgUoMbCuoXZ2IXBQf65tOIh6HTlnT5B+Ooq02BzS0tRExRsxbTsPnAdAJXjSsmkuLUcOwMbNCYBsdydE5GgycrDzvLnq8X8pTkvi3znriMoMBsBuwzq6D3YmoG+vSryLpXG1bsklwx606cdQe7SymNxrGPPzUZ7RlTxXXar4lmB5cPbwo0mj77kY+xQ7No/mgb6LUVlZtq1FVeFur+Yleyem6/NYfSqFR1rUXHNJQai6GJ4b478iIyNvGf/1yCOPEB4ezrRp0/D09GTu3LmMGDHijvKHDRvGggULyMvLw8HBgQ0bNhAaGlol51IWeqOet3a/RQPHBjwX+ly1rVvbkAweCQDeaP8GaZo0xmwaQ6h7KP0a9GNY8DCUsvLdYadr0pm4ZSIXsi8wLGgY73R8565iSuoK1+4In1u5kkaeLjzbsR3ZBRl4uvkQ0NINpVrOsc3xWMmdSU1KLXkv/ntHmJ+fT79+/Xhq7Aha2A4k6WIOu1dGET6sMRMnTmTixIkA7N+/H19fXxwcbt/1XlCqcA5th3NoO4IBRBFjegxXTp4iLT4fg0FO82F9UTm7lZpn7+MJ6MhPSLijwZO45R+2rs1FJ/rRe5CAcz0nDqyMY+NaRx6234ln5+4Vfj/LwrvNh8Tv7cnZQ0/RauApi8gshbF0xptQWHX7JfWD2lJc9Dnx6f9j+6YRdO21GBtbpypbz5I81ymA5etP8H5RKoNCPFAraqYFjYyqbS1RnvivwMBA3n//fbp0Me/99ujRg/HjzQ1v/xsb5uvry6hRo5gxYwb+/v689dZbdO7cGZlMRr169Uqyu6qDH0/9yKWcSywbuOy+itm5CfEeITc3VwTE3NzcmlalzqIz6MSlZ5eKk7ZOEkN/DhXH/zNe1Bl05Zo7fd90sduKbuKco3PE5ouai+ui15UcM5lMYqGuUMwpzqkq1WsE9+AmouuAl8XG7y4Vf1j8g+jn3lhcs2aHKIqiGHUkTfxm/FZx5rMrRG9vbzElJUU0mUzi4MGDxa+//loURVHMz88XO3fuLL7//vuiKIqi0WgUF07ZLX4zfquYEpMjJicni6IoioWFhWLv3r3FOXPmVNm5aFMvi9+M3ype+GPTLceY9AZxz2c/id+M3yqunbxYzEtIKjlm0BaLK19ZIq7832KL6hW/a7y4ZWugaCjKtIi8ixcvip06dRIbN24stm3bVjx9+rR4umNz8WxwE/FscBMx+9R2URRFcf78+WKjRo3EwMBAcfQzT4vn108VC7MviVu3bhXbtWsnhoSEiE2bNhVff/110Wg0lnv9qFPbxM1/NxM3r3tCNJlMFjmn6mDXuXTRa8tRcdrOqBrT4aFNb4otlw+ssfXrKjHZMWLY4jBxztGq+/6oLNV1/ZZieCRKUMqVPB7yOF/3/Jrve33PwZSDTNs3rVy9tU5dOUV33+680OoFwtzD2J5gjof4O/ZvOizrQIdlHQhfEc6qi9UbpHcrKltkbOvWreRkF5C1+TuiPnyaV1+azBPdX8ejniPDhw+n72OdmLFqHLNXv4GnpxedOnWiUaNGuLu7l9wRzp49m4MHD7JmzRrCwsJo3bo1Oy/+CkBGfD59+vShWbNmhIaGEh4ezqRJk6rs/VC5+6ISCilIzy3zuGgysfPTRRyL8qNzmzSGfPwE9r7XOyvLVWr86xvJLXaymE76vDiS87djVyxHprKM3DJrrThbYbI3fxWmr5xXqtbKhdMniFm3hiWjf+DiE/1wdnZmxYoVnD17liNHjrB3714WL15c7vUbNX8AN9s3kdnuI+r0RoucU3UQ3sSdbgUyFmvyyC6smUrsAjKpeWgFMYkm3t/3PvXs6jGu5biaVqfGkba0JMqkk08npneZzhu73sDFyoVX27560xhRFEkqSMLFygV7lT3Z2mwAOnh3YMWFFehNen6P/h0fWx/GthzLrxd+ZcnZJTwa9Gh1n85N/DelPDIykkOHDpUac+3Cd/ToUTw9PRkyZAiT3n+LrEahNFfocB86jScHO7Fiu4yC1a+SeCWKFkGPs3jxYkwmE8umHkZfbOCc/HfAbODcyNtvv83bb79d8vzo5svsWxODtb2SZt18OHWqCrZxboVMhr0ql/zMm41b0WRiz2eLOBPfgJ7dswkZObJMEemp4O1QvjYQ5eHcnscolutpE/Q1gqzy92ZlZdZNmjSJeJ09AVoFpnBPDP+e5A97c60VDw8PLv84hRFWjvyQncnwAneat7oeS2RlZUVYWBhxcXEV0iO000g2/7mU2MJP8Q3sXGe2tj7oEEjP09F8vPsSs/pWf1dtqZdWxVkdtZqj6Uf5qe9PqOXqmlanxpE8PBK3ZGDgQKa0m8KiM4s4mHKw1DFRFHl+6/P0X9Of/mv6E50dTYGuAIA+AX3I0+ax6PQizmWdo5tvNwYGDmR48HBicmPIL2chuaqiPEXGZm7bzCNvvYtHy1C+PXKWi1dSSWvQiJ8XbeDQeWcWnvZE6eTFs+3DUVrrULg2IF2TiIOTLWq1Gmtra/RaI2o7BYWFhbeNZzIZTWxfco59a2JAgJHvdUBmgQt8RbG30ZKfV/qCIppM7P9qEScuBdCtcyYhIx+55fzcAjVObpaJ7zDkxZOhzqKh3UDsAizTY+xWtVaSPc0XAtnuNBSpJs7v24L9lfOceb47xV+ux7uVGykKEeE/zoXU1FRWrVrFoEGDKqSHTC6jabP3EVRX+HfLo0Sd2G2R86tqgr3s6aNT8hvFpOVatjJ1WZhMJgp1GtI16cTmxGJnysVWMFT5uvcKGZoMvjz8JUMbDa1UIsq9hOThkbgtT4Q8wY+nfuRw2mHae7cveT2zOJNdSbt4pvkz5BTncDbzLFPaTwEgyDmIgYEDmXNsDvZKex4JMl8kr7WsuJR7iVD36stQ+C93KjJmEk3M3ZJH1sUc5HYe/LKriF92HUWnCcSQl8GDYQUoFWClUOJia4tMm0b2+SOEPD6lZA2dTsdHy58lMz+N5s1b8M+2srcvtv1yjnN7rpcDsHVUY21XM0GF9g4iSWml7wIPf/sLRy8G0KVdOi2eun02igwTRqNlAtWNubEAqF2aWUTeLdfR5CE4q4DrAczF2w9iUCiRu7uiHt+LRn0mIHRpDwUGinMSsHLyIy8vj8GDBzN58mTatm1b4XX9G7dDkC3k3IVXiM98mvj13eny4GysrGu21s2deK9DA7YePcen+3YwqrUnBqMBo0mPUTRgMBkwiubnJpPR/JpRi86owWAoxGAswmjUYDIVIZqKwFiEIBYhmIqRi0XIRC0KsRilWIyKYlTokN3g0XlKCaku93HAbQWZeXAmSrmyTO/8/Ypk8EjcFkEQcFA5UKgvLPV6hsbcBbq3f29auLe4ad6bHd6kV/1etHBrgYeNBwABDgEoZApOpJ+oUYPnTrR4/y8wWeNkX8Swrj5ssU0jJ8cTAfByVLNghLn/zNrTx2n/wQoSf/marqHDadv3+vugUqn4aPxistPz2ZuxhHnz5jF58uRS65zbl1Ji7Cit5Dz+XgfUNlVbd+Z22LmoKYi/fsE9OncxB8/40SEslbAxj99xvquLnrQUwGSCSnqoCrKPAWDrHFYpOTdyY60VhUKBJv4il89H46Opj6GNM4IWHB9/BO8XvyTeqCfk9BkEmYwNGzbg3yAQmcZA6spvcB35Dv369WPIkCG88sord69Pw3bUa7Cdo7sXka36nB3/PET7TvNxcW9gsXO2NGL6CT41vIu7OpbMW3Q3EQD51YcKsEJAhxo9anSCFQbBChNWGGVWiII1JrkTJrk3gswag8wandwGrdwahdwGldwalcIGlcKWhLgvcZDFVt/J1mH+TfyXzZc380nXT6RisjcgGTwSd8TDxoPj6ccxmozIZeYti4OpB1HKlAQ6lV1y3kHlwIP+D5Z6zUphRW///7N33uFN1V0AfjO7d+milFJo2VCWrLK3CggIgsiSqYJbQXGAMh2figqCIEMZypQ9ZO9dNl3QBd27TdOMe78/ApVK6W7TlrzPkweS+xvnpknuuWf24tdrv9K/bn8czB9Pf9ZpcshIjcPBpfwq0v73wic+UmRMpxfIUhsu1hlSTzITUqjrI+diKuhSE7GwN6SFJ2Vl8PaqQBI2LCTAK4BeAzoy/IV+efZxcLMkI0nN29NfZ9KkSbkKT8j5OA6uuYVea7h77TW+ER717LF2MG79Ils3BzSiJdFHjpAUGs3pQE9aN75P6ylFayzo064O+7dpSb54Asc2nUsli15vaFoplZbde/LfWitr5szETa6gtlJJw40Xcse9JLWm/+ufERcfn1trpbeXNWJICvLGAfTt25e+ffvyySeflFomqVRO684TiA5rwY3br3P+/Eu0arkBZzfjt3J4lMzUJM4en41ouRsHXW3w+BZbFw9kEhlyqQK5VI5CpkAmkaN4+FyqwExujpXcokxctOvurURq8mgViT1391DfoT796vQrfPBThCmGx0ShTGk+hetJ1xm3bxy/Xf+NG0k3CEkJwUZpg5Xi8UZ5BTH9memotCq2hm4FQJWVxs7XB7D/2We4dexvjjzbnvtd+nBkyaflcSpAwU0m5TIpHZsmAvD2a73Yvn07b7ZuglyZQuaVXbw41GDdeWPL98Rt+IpnPNrx7Iu9ef/9l5HLDMpgREQEKpUKmUKKIAr8vnIdzZo1A+Dg6pvsX3EDQS/iXMuaoR+1xq+Nm9GVHYA6vbrjaRvB3xsETlzwwN/vHs9MHVnk+T7dO2Auy+TmP/lnvBUHubPBlXU39KtSr/UoS5cuZenSpfj5+fHrxTDmurshtHZiwoQJbN++HYA2w6bx5fyv6NixI/Xq1cPJ0YHBd5PRd3Rm9ZGreTLr/P39mTt3bqnl8qzbipYtNoAg48K5iWi1msInVQCCXuDisdWcOtUTwewgNtI36NFvLz2av0Ab92do6daKZi7NaOTcCF8HX3zs61DL1hN3azecLZ2wUVqVXTxaORYerG7oBT1WCqtqXQutJEjEapLnl56ejp2dHWlpaYUWZzNRfI5EHWHD7Q1cir9Ets5w9/1a89d43f/1Yq/18fGPyd73D90tmmN27BKu91RkWUhxyBAQJBDZwAHvWymkfTSedmPeL+MzMRAUFMTYsWNJSkrKLTLWtGlTJkyYQNfevfj0shJRVGJzbxOqU8cQgc6dO/PrsmUoFAoaDBpE0PYdeDh64eRhjVQiZejQocycOZMdO3Ywc+ZM1FlaMlPU1HL25cVOr1OjRg2yMzQIepHx33bC3Mp47qsnoVerCdq6C/Q6Gr48tNjZUSe+W0dQiBVjv+6GzKp038ODh+pio7XgmT7l0xler1YR1LIl5m8+h8+Ub584ThAEbg5ohZiSTeJsGVKlkiaNf8DJqXRWrPyICDlFSORoLIU36NDrnTJfvzhEh13n+rWZKGyvI2Z1pFX7uTg41zKaPOtPjcRSdZ6BPYONJkNVQK1T02NjDwb7Dq4y8TsVdf02KTwmioVWryUwIRBzmXm+sTtFISkrgfhWhouFWgHybz+j9jM9CNyxEmfvBvh2eJY9L3fD9W4abc9VYGr2I9T9ZBN6nQUAk3vJ+ahHnzzHu/+0huxIe4a6ZfLuu/nHt/z6zlE02frHXm/VrzbtBtYte6ErAcnBYaz/XwS9e6TgO/TJGV1F4f7pt7ml2k77RquxdO9URhL+iz4ni9ttWyN/wZ/6s9YXODb8j8/InrOR5HckqH11yOU2dOl8scxlAji8ayo6+RFatzxIYmo6Y8aMITExETs7O1atWkXjxo8Hcq9YsYIFCxYgCALdu3dn8eLFKBQKBEHg/fffZ+/evcjlcpycnPj1119zWyZ8/fXXrF69GkEQqF+/PitXrsRMLufMkQXozDYiaBzxrvUJ9ZuVTaZcaVh/ahRWqrMMMCk8BbItdBufnvyUXYN24WVbNZrVVtT12+TSMlEsFDIFbdzalFjZAXCQWIFMhvWUCdQ6uIemvUdga+9C51HTadRpIAqZAkW7Nlhn6NDkqMpQ+qKz5fVnqO2eDMD9zPjHjqtzdCj1Ctx98w8I1OuEXGWn45B6vDijNVK5BAc3y2qr7AA4+tXF3eYeN8/nX8CwOLi2+AylFsJvfFEGkj2OzMwKWTc/tLsCyU6PLnCswq4GAI7fidjcd0OnS0UQysft1LqjwZ177vgn+RdK/A+PFkoMDQ0lLi4ut23B9u3bOXnyJFeuXOHq1av06NGDjz/+GIADBw6wcuVKTp8+zc2bN2nZsiWTx7/M0cO90Jv/haVkBN16HawUyg48rMNTLe7Py5W/gv6ig0eHKqPsVCQmhcdEhZN55Ajo9Yg3gnB28c53jGfLTkhFuL5/Q4XK9pDmHl4sGWb4oa/t+HiqcFq6GjnQ0C//4FIJYGYpp27LGvj38sLV25bXfurGy7PalaPUlYNGrW2ITvcmLfh2qdZRJ19HlIBel1lGkj1OrTfmIMuA8C4FB3fW7D8N+x/eQbCRYPlTPNIMyMgofaxSftjYu+Ji/zYZ4gHOnT1TYL0ogE2bDIUS3dzckEgkTJkyhfXrDRYriURCTk4OarUaURRJT0/H09MTgCtXrhAQEICNjQ1xkXdxsDjNzr17kUlcad74bzr2nIVSWZmanEoxRaQUzM2km1xLvMaw+sOMLUqlxKTwmKhQRK2WmM9nYeHvj9OECU8c1zBgADFuSoRPv+HM+u8rTsBHuBkXB4BfDafHjkke/PRaWljkO1cqlzLhf53pO6nklrCqSt3nemAuzeDq1tMlXiPz3kEuXhuHUi/Dr/XSMpQuL1b1miJ7pi5k67g9fTBx/6wmOykSAE1KAhnhlxEEg6XOvc8k6v69E1mqBJfPFSQkHiw3uZo9M564CB/sHUQQDfs/Wi/qUSIjI6ldu3buc29v79wx/fv3p2vXrri5ueHu7s7Bgwf54guDxaxVq1Yc2L+PLWvfJfDmcxw+fQGVSqRl+xXUcK/4SsqFYQrALZy/gv7C1dKVLp5l08C3umFSeExUKFlnziBkZGD3wkCs2j7zxHFymZzma7cS4+uAzeylHPrfB2hVWU8cXx6EJCQBevxquD52TABkooBKlV2hMlUFZJZW+FhZUTOpLpmHD5dojbArH6IQJLRqtx0z52ZlLGFefFfvQNqvAfp9N0meuoDwjn240aYhYe07E933ZW50acL1F9twfUR7Qse8AIDOXSQubnu5ySSRSPD2GY9EoufE/lkI+pK1VLhw4QLXr1/n3r173L9/nx49ejBlyhTuh19HzNrE8/3VzJi9hHfeTsG/+RQAFIrKF0wPhl5aEpNL64kEJQfxd+jfjGgwArnUVHEmP0wKj4kKQZeURPa160S/9TYA5g0aFDrHqaYPAb9uJs5NifuynRyeWrFmWo2QBUhQkNeldTc5DnOdFR1sz7N9/RaO/3Mu/wWeQvQ6gVv/u4SvzAylVELqPpH0X1chqounGKbJUnA1b4nCsfwtDRKJhPrfbaX++Uu4blyE1cyXUQ54BvMPB2A7bxLm7ZsjsbVGIpcj8/PAeu6r6Oe0Qa2+R1Jy+bWFaNOhF8nJUjTKP/ln5zBCr53LrRf1KF5eXkREROQ+Dw8Pzx2zZs0aunfvjq2NLSkJ4XRo4cXePZu5dWcgWulphj37JudO3uXm7Rh69X4WT0/Pypv0ITG5tApiW+g2bJQ2jG402tiiVFpMaqCJckcbF0dol665z2169cTC379Icx3s3eh2OJDt8ybi9/tJzh7bwP2923nu8+Uozco3vqBz3VqsPHyXI6Fh/PzPDoKDEnDWK1DrreghTwVAkGg5eGI3yQmpDBzRu1zlqaxkJamI2nGXmj29iPjtBnZZGrKb1qDeUB/SVm8jPcwb1ZydODxfE7N2HYq0pkIvQSdWbC0aucISx6a9cGzaK++BwY+PdcmJ5+SpTly5Mh5Hx464uvTH1XUAUmneXmKiKKDTZaFQFL9lhIuLC23atOP8iWa0fuYcv2/qj411Donh/+BawxEbO0fAENsTEBDArFmzcgslDh8+nPTkVJRiBhs3LKFpg7+xtE9k16FUvGtb4Gj+MU0CXiYxKRX7Gm6oVCo+++yzx6qBVyYkJnWnQPwc/FibsxaVToWdzFRdOT9MCo+JckOfkUHCoh9J3bwZAPsRw1HfuInjuFeLtY5EIqH+sy8j/n4S20mzsQWudFhPm+fHl4PUeXZGhp6QkERsQ+/TGkCiBbmKTHk2r0yYSG1Hb77+8kcuB51iIE+nwhO+Lgi7e5mk3U7GRhQRutbCt5+hPYL9pJewvH6F1I0xJGzTY3t9LTavjii0vo9SUKLRJVWE+CXCzMyF5s2WceXqFJKSjpKUdJRbt2fg4T4MqcyC9PRAVKq7aLWGTL9n2uzAxqZRsfdZunQpY8eOZfX6JJRyKz58pwmZkm8YNnwG7Vu25MXBb+PbtDezZ8+mQ4cO6HQ5NG3gQW2X/Zy9+CO9+mu5FaZh6tshmJnZ4O7ux58b/6BuXUOmYO/ezyAIAhqNhlGjRjF16tQyfZ/KEonJwlMgbdzaICJyMe4i3b26G1ucSompDo+JcuP+jI9I27YNAKcJ43F5v3RFBI+vWkDikQM0OHOfqB6N6P3z5jKQMn8y1ZnM+v0HzKL1KCSG+AnbBvb0bd0bUSlS160u5kpDdeR9W45x+uohBvYZRov2xb+oVVXiriSQ8mcQ1oKIVhRROVpQo0ctXFq7PTZW1OnJWL2B9BAvrNzCsZ/6MhL5kzurX9vVGq1UR8t+geV4BmWDTpdNdPQqoqJXo9Ek5L6uUDiiUDiiUoVibu5Jh/ZHyiTwNjU5kpuX1pORvRu5lSGdXq+1QKYwuA1FvRw0TXGw70Qdv744OPtVi4DfTedewzL9AM/2DC188FPKM2ufYar/VEY3rlpurYq6fpssPCbKDV2y4Q7domVLnKdNK/V6ncbOQP3K2wS2b0Wtgze5c/koLl710aoysavpU+wS9iEhIfkWddtwdANXj13FWq8k1c4SXUw6e7ZuAFHkVvcbuUXdHtJzQEdef288CxcsJEuVhVQq5e7du7z44ovo9Xp0Oh0NGzZk2bJlODg83j+sqpJ0KBJbQUQlgqxDTRoXUF9IIpdhO34kss2bSTlfC+3c9dj1romybZd8rT1KuT1ZQlR5il9myOUWeHu/hpfXRI4db4WVVT1at/oLicSg0F25OoXExAOkpV3C3r5Vqfezd/SiQ8/pCMIHRIddJD4mEI0+GaXMCUeXBtSq1xKFojKlk5cNEokEiaRa3J+XG1q9FjOZmbHFqLSYFB4TZY6o0yFqtUjNDSnb2ZcuGTpolwHmcnOaHTvNtQ5tsR0xhYeXxPsSSHVQoJ8yko6vvJ/b5FSrUXNizULS4iJRBEWikMhAp0eRlsU7527Sq2c7xi//ioPHzjF0+FAmzZpE4vVE1GZqho4cir3Eno4dO3Lp0iVcXV0ZOHAgy5Yt44033siV6YdFP9C0cVPuxURxcOdpeg3oiIeHBydOnMDiQdr6W2+9xaxZs/jhhx/K5H2oDOhSc8iSSag/N6DIc6yGDEFW4wipByxI+FuOYvcmLOvkoKxfG6mDLRIzJRK5AmWWG6IgkHL9Cjp1FvrsbPQ52eg1GsQcLYJWAK2AqBNBJ0FiLkHpYYdLu84oLIofL1MWSKVyuna58tjr7u6DSUw8QGZmUJkoPP/uJ8XLtw1evm3KbM3KjMRUh6dAdIIOnahDKVMaW5RKi0nhMVGm6DOzuPP88+hiY5EoDV8877/+RPqEejUlwdLCluRxz5H8zwkUA/oit7AkJy4G3Ymz+MxbxYErl+nzzXoOr56H+PsmPO6pcQPueVmhVoIok3DPXE5wSgarL4UjDp6IskN7Iu9GEnI0BDtfO2aOmYmTrRNff/11blE3gClTpjBv3rxchefGjRts27aNb776nr3/7ObSpQv0GtARM7N/77L0ej1ZWVlYW1uX2XtgbBKuJeCYoyelRvEtCeadu+LaUUB9/CiqMyrSgmtBsATIyB2jYDK1gKwL6Q9eURoeEi3ItUhkOpDpQKZHlOmR5JghXrPl/sFTKPtKcA+oPPFUMpmhwe7DDvAPCbu6G1unmtSo2dwYYlU5TDE8BaPRG4L8TRaeJ2NSeEyUCbrERGLnziVjz97c16y7dDFkZDUr+zoq/d78Bt78z4vvwrb3XqT+riscuNWWWncyiKxnS/Q7z/HMgEk0dP83nffixYvUuvYyHv/sIO7CSTT7z2FnZ0fPbl0ZNGho7riCirpptVomTpzIihUrcrNzsknhxJ5LBPRriUaj4ZlnniEiIoJmzZrlduOuDiSdjsUa8Hml8PIC+SGRSbHo2g2LroZilLrQYIRMFWKOFlGvA4maLLMMZK4+KCxskVvaorCwQyZ/8t1rZsxd4redQrfTkxS7Kzg0rRyKhFJhyKZS59wDDM1Ig85vY/f/fkMiFXnrj63ITHflRcCk7hSESeEpHJPCY6LUCBoNIQH/Nness3UL5g2NU6m17YcLuXVtOAq9hPjpr9B77McFBmzW8PSlhqcvgadvARBx6Bg8ovAUxOzZsxk8eDANGzYkPDwc5QOL1pVrgQT0a4lSqSQwMBCNRsO0adNYunRppU77LQ72zZ1Rh6UQ+WMgDb7sUKqgWIlCgaLh4w0xi2sTtHavg8UED+4u+hNhoxrr2r4obI0fy2Jj0xC9RsG1Q7uJPJtG1PUgUsINx0RBwvEt8+k69HOjylgVMFl4CuZO2h0AnCwerwxvwkCxojyXLFlCs2bNsLW1xdbWlvbt27Nnzx7AUOzKEFT2+GPjxo35rqfVapk+fTpNmzbFysoKDw8PRo8ezf3790t/ZiYqjOgHqaxWXTrT4OoVoyk7AO6udem+/zzd9p2ly7iZT7wQ16pVi5iYGHQ6HQAvzZhBRmpq7vOHFFTU7ejRo/z44494e3sTEBBAZmYm33//PeEJt9i75WjuHKVSybhx4/j9998BQ7B0hw4d8PPzo02bNty4kX9PphUrVuDr60vdunWZOHEiWq0WgCNHjmBhYYG/v3/uIzs7u9BjZYlbW3eyXCyx0urJSc8p8/VLikxhhvPLzRBFPTF/HirVWllxkdxdt447X2/gzsI/Cft2LXdXryMz5k6x11JHNSXisDNXdxqUHcsaGobP+4ia/nZc2XmWjFTTb15hmBSegtketh0PKw+a1SjfyuRVmWIpPJ6enixYsICLFy9y4cIFunfvzsCBA7lx40buBeTRx+zZs7G2tqZfv/wb86lUKi5dusSnn37KpUuX2LJlC0FBQQwYMKBMTs5E+ZMTEkLWseNYdemM19KluXE7lR0XFxdatmzJH3/8AcDGXbuwsbWliU/eZqBDhgxh+/btxMbGIopiblE3gOPHjxMREUF4eDgnTpzA1taWdb9uw8rKin1Ht5OSnAoYXBgbN26k2QPXXmk7YAPUr1+fwMDA3IfFIzFSBR0rC+IvxBLy0XHsErLJcLbE3M68TNcvLfbu/ggB95GG2ZFy4VqJ1ojavY2kRcFIbzmAjYikhojUSoY0zIGURRFEbPsLQa8v8npKeW2kcoFR33zFO+v/5rWf9lOzbkd6vzobQQ/7V35SIjmfJiSmxgBPRK1Tsy98H8/XfR6pxPQ+PRGxlDg4OIjLly/P95i/v7/46quvFmu9c+fOiYAYERFRrHlpaWkiIKalpRVrnomSo4mNFUN79xFv1m8gapOTjS1Osbl9+7bYrl070dfXV2zo4yNOmTJFjLlwURw/frz4999/545btmyZ6OPjI/r4+IivvvqqqNFoHlvr7t27op2dnSiKonj9QrA4/KURYq2aXmLTpk3Fxo0bi6NGjRITExPFuLg40cbGRtRqtaIoiqIgCKKrq6sYEhKSZ72vvvpKnDx5cu7zXbt2iR07dhRFURQPHz4sNm/ePN9zKuhYaQjfGSbe+OGSeG3uGfHK56fEqOnHxGs/XxZ1am2Z71UWaLUqMei7ZWL4Z3tEXWZ2seaGb/1TjJp+TLyzcq2Yk5GS55hGlS7e/WO94fiS9aJeV7Tzv3tzp/jNS8+KR9Z/9dixfaveF7956Vkx4vaRYsn5tPH3pQ/Efw76GFuMSsmeO3vEJquaiOFp4cYWpURU1PW7xKqgXq9nw4YNZGVl0b59+8eOX7x4kcDAQMaPL1413LS0NCQSCfb29gWOy8nJIT09Pc/DRMWRdfYcYX36oktOxn3ePORVsL5M/fr1OX36NMHBwSyZOg1XV1dcWvizfPnyPFbGiRMnEhYWRlhYGCtWrMi3uaK3tzepqakANG7lS9+Awbw6/lX27PiH69evs2bNGpycnIiKisLd3R253BA+V5IO2ABhYWG0bNmSNm3asHjx4jxzCzpWEhKuJiA7fg/b+5nYp2twVBvcfk1e90dmVjnDAOVyC5yH+IMe7v9V9K7mSUHnkJ1xR+8fg/eYESit7fMcV1jY4D1yONLnMpGHu3N3zR+53dQLonaDZ/FobkbgniPodXlbZnQd/jnmdiL//PYdQhmVbyhLUlMvIQi6wgeWMw8tPJXxPTI2f4f9jX8Nf2rb1i588FNMsRWea9euYW1tjZmZGVOmTGHr1q00avR4ddkVK1bQsGFDOnQoWu8cALVazfTp0xkxYkSh1Rbnz5+PnZ1d7qNWrVrFPRUT+aAOCiJy0iRCunfndrPmhPXpy70PPyRlwwb0D5RK1eXLRL32GpYtW1Lv8CHsBw8ystSlR3gQHCCWUeHxuvV8QCKy/Y+iX2yLSsuWLYmOjubSpUts3bqVX375hb/++qvQYyVFk2SIAcqq70CqhZwcQD6oXmlPo9xxrNUGXbtIJEG2pF0NKtKc5H+uorNMpdaLQwoMxPbo1A95Tw1mQXWJ3Jp/jOKjSCQSWvYejU4t4capDXmOKc2s6TB8MCnhOi4fWlokOSsCnS6Ts+f6c/HSUMLDfza2OLm9tESK7kp8GkhQJXDq/in61+1vbFEqPcW+PXsYH5CWlsamTZsYM2YMR48ezaP0ZGdns27dOj799NMir6vVahk2bBiiKLJkyZJCx3/00Ue8++67uc/T09NNSk8ZEP/Nt6ivX8d+6FCklpbo4uPIvnKV9F27if/2f5j5+KC+fRuLpk3x/PmnMq2vYywyExI4Hx+Pm0aDTPbkdgdFJfDcTQ6e3oVca8ML4/LWg3k0WFoulyOK4hM7YIeFheU+fzRY+tGbAU9PT0aMGMHx48cZNmxYgceKS0ZUBgkX4si6nYwDoE/Mpsnnj1tzKzNefV4mPOgv9Fszsfb1QWbxuHXuIWlRNzGP8kXeQ4e0gLYXD3Hv2YuI5I3IzruT3PAijo0KLiro0/RZYDkHfv6LpgGv5Kkw3bzLq1zZv4vTf+6gScdXMDNS8cSHpKZe4HLgOARBBUBc/E7U6ujc4yL53Bjkc7MgIiCKOkRR/+ChQxSFR57rQdQ/GKdHFAVA/2CM8MgxATONoXK7XtAhkz757/i0sS98HzKJjD7efYwtSqWn2AqPUqmkXj3D3V2rVq04f/48P/zwA0uX/ntnsmnTJlQqFaNHF62fx0NlJyIigkOHDhWpl4aZmVme4m4mSo/q0iWyjh/Hfc6X2L/4Yp5j2vh4UtatQxcbh1WXzjiOHlMtlB2AFV9/jcrSEtscDed//52GvXtj7epaorViIuPZtusvFKI10z6Ygq2DVZ7jjwZLjx07ls2bN+Pp6Zn7nXrIkzpgA8TExODq6opUKiUjI4OdO3fmuo4LOlZUREHk+orr2IamoJRIEEWRTLkM1+d8Cp9cyVAorHEY7IdquYqYTf/gOSr/BAqAlFNXkMgdcencpcjr1xoyiIjgHaQeiy5U4VEolVi76cmMlXH91HqaBozMPSaVSuk5/gP+/HQuhzd8Tt9x/yuyDGVNaNg3REQsQYKMBvXncDvoM1SqO6hUxc9Oyx/JY//+a02TPPJcAkhz/y8RDVmKRXEhPk3cSbtDPft62JmZOqQXRqkd8IIgkJOTNy11xYoVDBgwgBo1ahQ6/6GyExISwuHDh3FyMtUQMAaiTkfi0qUglWLdo8djxxUuLri8/XbFC1bO6B6keltmZ5Mjl7ErLIzdP/+Mp0bDS1OnYu3pWaz1pDIZSMC3duPHlJ2HPOyAPW/ePGxtbVm5ciUAEyZMYMCAAQwYMAAfHx9mz55Nx44dAejatSuTJ08GYPPmzSxZsgS5XI5Op2Po0KGMGzeu0GNFQa/Vc2PheRwztWS5WeE2xA8PT6ti9ymrTDjXCSC0zVLMzzQi9fpN7Jvk3+BVn6hDYp+GzKzoWWdSmRzRXQWJRctOtHZ0IjM2Fbny8Z9ez3od8Gnnwa1/btO67y2c3Su2vINOp+LS5RFkZFxHqXShdau/sLCohbv7S5Xi77/n6ucoE/9ANPXTykNsViyuViW7QXvaKFa39I8++oh+/frh5eVFRkYG69atY+HChezbt49evXoBEBoaip+fH7t376Zv376PrdGgQQPmz5/PoEGD0Gq1vPjii1y6dImdO3fi+shdtaOjY24ht6Jg6pZeOrLOnCFy7Lh8rTtPE0mhodz45yCH79/DTKvlw7lz8/2xv34xhFvXgnlhZB8Uin8vXosWLCc5+x5d2vSm2/NVy/0DEHMxDv3GYLR+DniPa1wtumwD6LQqwr/fjDzbHs8PeyA3z1uQUJuTwf0vTyJpkY3XkOLFpN1ZvRbJfXPqfDTkiWNunPmD43+sJytBgoUjvLZ4R77vbWZqDCveHo9LPXtGfLIOQa9DKiv/wPDU1IsEXhmLXq+ihnMvmjT5Obd6eGVh79XZKBLX0C7gIlZKe2OLUykQRZFntzxLQM0AZrabaWxxSkxFXb+LpbbHx8czevRo6tevT48ePTh//nweZQfgt99+w9PTk9698+9lExQURFpaGgD37t1j+/btREdH4+/vj7u7e+7j1KlTpTgtE8UlJywMJBLsnvIaSE716tF5ymSesXdAbWZG3JXHm0HGRiWyacdaboSfZ/Xiv8jK+LewX7YmAzsz1yqp7ABk3TV8Nz1eqFdtlB0AucIS52HNkaotiNqw/bHg9ITLJ5DprHDwL37RNolUAvon/5TuXDqNvd9tICvB8H72m/rOE99ba3t3WvRvz/1r6fw8pTffjRxIxK3DxZapOISF/Y+Ll15C0OfQsMECmjX7pdIpO2AoPAimLK1HOXX/FNGZ0fT2rjy94yozxbp1WLFiRaFj5s2bx7x58554/NEfGm9v7zLLijFRcrTx8SSvWo1V+3ZVpnBgeeNSsyakp5ESGYl7ixbkpKaRlZrKP4evERR+LTf8IDolmK+/XUjnVn3IyMhCo8/GUlE1fenqtBy0gQnopRI8HStXMcGywL52MzI6bUFxtCYRK//CtX8XFDa2pN+5Sc5+DaJjLNY+Re/8notcAkL+Ck/YtR0EHb6DV2tnBk77CaV54cHIHV+Yzp2LL5GdrgFRwvVj26jdsFvx5SoEgwtrJBkZV1EqnGnV6k8sLb0BQzXwMWPGkJiYiJ2dHatWraJx48fbf6xYsYIFCxYgCALdu3dn8eLFKBQKwsPDGTt2LJcvX6ZOnToEBgbmmXft2jWmTZtGXFwcAHPnzmXw4MEFyvtQSRRE46fIVwZEUWTF9RU0cmpEa9fWxhanSlA5i2iYKBdEUST1r41oIiPQ3ruPVbt22PTozr1pbyLm5OA2a5axRaw0RAQb0pgdatfmxp49bDx7NveYm20d+vTvgZunMxeOX+Pg6V0cu7gPACly/FtUvdLuEf9EojsQgQUi8merXnByUanVbzBRsi1ID9cg6duQfw9Yibi80qZEVi2JVAL5lDRLiYtk789LsHSUMejtZcgVRUuykMmUjJ23FYDl7w0gNvRusWUqjPT061y6/DJ6fRZOTt1p1nQJUum/l4OH1cDHjh3Lpk2bGDt2LOfPn8+zxsNq4JcuXcLV1ZWBAweybNky3njjDWxtbZkzZw5paWnMnJnX1aJSqRg4cCBr1qwhICAAvV5PcnJyoTLn1uHBZOEBOH3/NOdjz/NT95+qlTW2PDEpPE8J6uBgMg8dIuH7H5CYm6NwcyNj715iZ81CYm5OrSWLUf4nNfppRi6Xg17Pvg0biJLLccrOQSWpj7+XB33efDZ3XKc+bUhLyyA+Lp5OPdrh41cLWRFSmisT8VcS4EA4WoUMp7GNsK9X9YpIFodavQejanOPtFs3EHI0mDk5497wOWT5FJQsChK5FFHI+zePuXuBzfM+RxQEBs38vMjKzn9p2qMXJ1bv4+7N3dRp9GzhE4pA9L0NBAUZSobU9/sST8+X8xyPj4/nwoUL7N+/HzBkDE6dOpXQ0NA82YSbNm1iwIABuLm5ATBlyhTmzZvHG2+8gaOjIwEBARw5cuSx/detW0e7du0ICDBY02QyWZESXB62TBBNLi0EUeD7S9/TwqUFnT07G1ucKoNJ4XkKSNuxk/sffACQ2/MKIOvMWTSREVh37IiiZk1jiljpcHJ2hnv3UAPNra3pNvE11swPwkWhfmzs88O6V7yAZYQ6VU3K+tsgk+Izow1K66fDpWnpUBPLDmX0mZdJkTxwaen1Gk5uXcjlHadRWMCQz+bgWqvk7oZWvSZxdtNezm5fVSYKz+3bn3Hv/lpkMitatfwTG5vHM8EKqgb+qMJTWDXwJ3Hz5k3MzMx4/vnniY6OplmzZnz77beFKz0PY3hEU1r6/oj93Eq+xeq+q03WnWJgUniqOfrUVBKXLMGiZUvc53yJ8pEfKKt2bbFq19aI0lVeOk6cSHtByJOhJdNfITu17DuPGwtBLxCyKBAbUcRuTOOnRtkpayQyKQgybp37i6Nr1pCVAB7N7Hl2yjzsnLxLtbZcYUaDzi25fuAiSXFXcHJtXqJ1BEEgMHA0KamnsbDwok3rHSgU1qWSraTodDr++ecfzpw5g4eHBx9//DGvvfYamzZtKnCeFCkCoH/KFR6toOXHSz/S2bMzLV1bGlucKoXxiyuYKDdEUST6nXfQJyfj9vnnmPn4ICmDSsJPC/9NR1fqs1FlaI0kTdlze/VNHFRaJAGeONR3NLY4VZYcbRanY/aw+9s1SOUSBsyYxIiZ60qt7DykdpPWiDopt8/uKPEagYFjSEk9jYN9e9q1PVigsvNoNXCgwGrgERERuc8frQZeEF5eXnTr1o2aNWsikUh45ZVXOHPmTKHzHmZpiU95DM/WkK1EZUTxZos3jS1KlcOk8FRTRJ2OhP99h+r0GTy+Woh5fT9ji1TlkUv0aNXVQ+GJOnkPq6BkMl0tqd2/+gYplyeiKBJ84ArRR5KJzgqm7YgAJny7Fd8WZVvawdzKoJxoc0pu2chShSGX29Ky5R+FFhF8tBo4UGA18O3btxMbG4soinmqgRfEsGHDOH/+fG7D5927d9O8eeGWq3+bhz69Fp5MTSY/B/7Mcz7PUd+xvrHFqXKYXFrVCO39+8idnVFduEDc/AXkhIbi8v57WHc2BbWVBVIZ6HOqfkpsekwm2dvvICpl+L7hb2xxqiSJ4bFErQukRroVKboMkEjpOHB6ucRT1KrfDYfaP3Ljn7N0GJCF0iz/Ct4FoVDYkZ2dUuTxpa0GrlKp8PPzIycnh7S0NDw9PRk1ahTz58/Hy8uLjz/+mA4dOiCVSqlZsybLli0rVCaJKYaHX6/9ikqr4q2WbxlblCqJSeGpBugzswhunTcw0qxhQ7xWrjTF6JQhUgSEfNKPqxI6jZ67i69gK4Eak5oiU5pcnMUhJzuHG+tP4RAMNlIl6s42pF/UIMk0K7fgUUOfrXfY+PlXHF4/iz5jvy7ROsUpeVa/fn1Onz792OvLly/P83zixIlMnDjxsXGWlpZER0c/9vpDRo0axahRo4ouEP/W4TE0GH36iMqI4vebvzOx6UTcrNyMLU6VpGr/epsAQHXuHGBQcpxff51av/5KnS2bTcpOGSNDQKBqZ0TcWHwFJ62AeR9vrGuVfwuWkJAQOnTogJ+fH23atOHGjRv5jluxYgW+vr7UrVuXiRMnotVqCz0mCALvvvsujRo1olmzZnTr1o3Q0NByOxdVciYh845QI1hGVi0JntPbUe9Zf9SZ6cjKuZGuV/0u1Gnnys0DN0iKCS72/KysYERRUw6SVRy5Fh6eTgvPdxe/w9HckbFNxhpblCqLSeGpBkjNDTU+PH9cRI03p2HdKcCUqlgOSCUC+ips4QndHIJTbBbZvg64d6tVIXs+LGAXHBzM9OnTGTt27GNjHhawO378OKGhocTFxeW6OAo6tn37dk6ePMmVK1e4evUqPXr04OOPPy63c7mz7yq2WgsUI2rT5I2umNsZ+nFpMjNQWJZ/xlPvcXOQKkT2rZhd7ntVRqQYrJFPo0vr1P1THIg4wNut3sZCXr7KdXWm6v56m8hF8uDuUlCpjCxJ9UaCgChWTUUy/nwsinMxpNkqqTsu/27hZb7ngwJ2r7zyCmAIco2KinrMCvNoATuJRMKUKVNYv359occkEgk5OTmo1WpEUSQ9PR3PYna3Lx4SpEjISEjL86o2Iw0rJ+dy3NeAtZ0HLQa0J+ZaGkEX/i7WXHu7NgDk5CSVh2gVw0OXlvB0tSOKSI/gw2Mf0s69Hc/WKZvik08rJoWnGiB9oPCI6seL4pkoO6QSEKrgVybtbhqZm0PIlEvxfbtloVk6ZUVBBewepaACdgUd69+/P127dsXNzQ13d3cOHjzIF198US7nIggCklsZAMjM/w19VGdlQY4ax5oVYzHrOGAG1m4ih1ctR68vegC9pZUhwyox6WB5iVbuPMzSEp8il1ZaThpTD07FwcyBb7p8k1tt2kTJML171QCpuaHRo5BtUnjKEykiYhWL4VGnqIlbdg0d4DXVH6VlydonVEYuXLjA9evXuXfvHvfv36dHjx5MmTKlXPaKuR6BncYCbR9HfAL+tZBF3zFYq1xqVUxbFplcSdcx48hKEDm5pejByzKpoajk7dsflZdo5Y40N0vr6Qha1gk63jvyHik5Kfzc42fszKpmU+LKhEnhqQZILAyxBEK2yaVVnkgkAkIVcmnpc3Tc/f4SckHA4ZWG2LhXbGXdsihgV9CxNWvW0L17d+zt7ZFKpYwZM4bDhw+Xy7noswyB0lY17fO87ujmgSiREBNa/EDiklK/5Yt4NLfi0o7jZKbEFmmOt/cbyGSGdPa0tMtlLpM6MYroo4vLfN1HyS08+JQoPGturuF83Hm+6/odXramPodlgSktvRogtTBYeEwurfJFilhlsrQEQeD295exUeuQ9K1DjSblH2PyXx4tYDd27NgCC9gFBAQwa9YsXF1d8xSwK+iYj48Pu3fv5v3330epVLJz506aNGlSLucifeDG0qnyZjo51qiBmasH4RfPAtPKZe/86D3+M35//332/fYZQ94rvIaNUulEu7YHOHmqA6Fh39Cq5doykUOTEk/IzveJrXkSAJs7rbDybIwoaBEFLYJei6DNQdCqEXU5CDoNgu7hcw2CXmP49+H/9RpEvRZB0CLoNIiCBlGvQxS06HRBYAd6oerXwiqMqPQoFgcuZmTDkbRxa2NscaoNJoWnGvAwhsfk0ipfpJKq49IKXnEDuxQ12S1d8a2gjKz8KG0Bu4KOvfHGG9y6dYvmzZujUChwc3Pjl19+KZfzsHGxI4N7JAfF4uFfJ88xv3aduL5tA5HBt/Hya1Au+/8XJ9fGNOpVn2u7Qoi8dRKvhh0LnWNu7oqFRW3S0s4jikKuxQRAm5mCoM3GzMGjyDJkRF/j0tmh6Ny0yNPM0NnlcCH8ZQgvyRnlw3+vTgJI04BkNVTTMjR6Qc/e8L38HPgzzhbOTPWfamyRqhUSUSxOOarKS3p6OnZ2dqSlpWFrW/71RSobt5o0xfXjj3B8+WVji1Jt2f36cpJ0DoxaNsTYohTIlbO3ObVzH7XkNXn+8xeNLU61QJ2hInHuRRLdcvB/u2eeYxlpqSydMppabTry0rvTK0ymHHUaK955CaWlFeO/2VSkUhTh4b8QdudrGjX6loxLx4nN2E1N5QtE67eit9Dhnt0Tv+e/RWZeeDXnC3/2JlN5F/+mK7HxakXEwa8RdWokogyJRAbIkEpkSGQKJDIlUrkSae7/zf79V6FEJjdDIlcikZsjVRhelyrMkSrMkDz499bBzUjfnIXkryU0aNa19G9gJeNgxEG+v/Q94enhdPbszLut3qWufV1ji1UhVNT122ThqSZIzc0RTRaeckUqEREqcX2j2KhENm/YTkJWJMjAwtxUr6OsyEnNBsAy3hCL9KhyYWNnj5WnN/euXXrsWHliZm5H+xEDOPTzbi7s+5U2fScVOsfdYSBhfM3Nm++BOWAO4fyFIlGJXWo97rseIGFHa+p7f45rmyf3xcpJiyfdLgyXxLbY1wsAwKffZ2V1avkieZBdKFbDXlqR6ZG8c+Qd2nu0Z36n+TRxLh/X7NOOKWi5miC1sEDIzja2GNUaqYRK21pi/9bjLP31F5IyY2jdsBOtPZoSnn2fsGM3WP31Mq7+cx5BeDqCPcuDqN8uAaAnf4WmUUBXRFUWwYGXKlQu/06v4ewn5fRff6POSi10fPDbg7A8+u9nWBlnTq2MF2jb5zCtRu7F320xEr2M2xGzEB5Je9dmJhO+bwF3d80m+siPBO4YBCLU7vRBeZxWvkikDwoPVkOFZ+WNlTiYO7Co+yKTslOOmCw81QSJhQWi2vgKT0hICGPGjCExMRE7OztWrVpF48aNHxu3YsUKFixYgCAIdO/encWLF6NQKDh9+jSvvfYaAFqtloCAABYtWoSZmaGa9LVr15g2bRpxcXEAzJ07l8GDB1fMyVVC4056aiZrlv1JoioKZ+tajBz/Ig5OdiRHxXN7RSi/H9oIwN0T97kcGIibXQ1u3A/GTKKgR/eeNAhoauQzqBrIHsQq2wzN38XQtnc/zv+5hnN7dlC/RavHjhfle3Ho0CFmzJhBZmYmEomE5557jgULFiCVSrl79y4vvvgier0enU5Hw4YNWbZsGQ4ODijqdWHhT7P535462Dp7kJiUgpubG5cuPa58SbJF7P6U4ezUHes27bEOaIFNrX87lTs16YOfKpnrmZ8QffQnJBIJsdFbyXCKQjQHFIAAEgcJ3sLL2NRuUeL3tLhIZDJEQNRXL4UnKiOKbSHbeKvlW5jJzIwtTrWmct6umig2UnPzShG0XNpWAs2bN+f8+fMEBgZy7do14uPjWbzYkO6qUqkYOHAgc+bM4datW1y/fp1OnTpV2LmJSJBQeULe4qKT+Om7pSRlxtCheU+mfjgeBydDrQ7HWi5Mfm0y/fy7MXbQK3jInbibeY/T9wKRSqRkCtnsPrgHvab6Z7yUFanWajxb+OR7zNzCArs6vsTfup6vJa0o3wsHBwc2bNjAzZs3uXjxIqdOnWLNmjUAeHh4cOLECQIDA7l+/ToeHh7MmjULgJfHvMeG36YzrXNHJrT2op63M8/3aUv4+s9IOPpX7vqCICC9lY4ECZpVx3FvPzaPsvOQGq1fQplgTgg/EiwuItssDteMjrT2+p12DbbT2nsdXfsF4/PclyV4F0vOw4KZ1c3C88uVX7A3t+elBi8ZW5Rqj0nhqSZUBpdWWbQSsLS0RKEwFMfTaDRkZ2fnuhDWrVtHu3btCAgwxAzIZDJq1KhRUacHEilUEoXnzu0olv+6Aj05vDJiNL0HBTw2xsbVnrYvdMG7eT0GjxpGu1r+PNeyB6+9NxUvew/SRRVRN+8aQfqqh6VeiURb8Jjm3XuBRs2lY3lrARX1e9GiRQt8fAwKlbm5Of7+/oSHhwNgZmaGxYNsTL1eT1ZWVh7XWqdBM3n+/Umo0HH63A2kN0OJW/g3Ca99xu2PX+R6j+YENWqMJMcw3vGb9594HlKpFF/vj3GJb4u/y88EvHiDxi+twa5eB6w8GmPn07bCqnU/ykOXVnWK4Tlx7wQ7wnYwudlkU4+sCsCk8FQTKoNLqyxaCYChuFzz5s1xdnbGzs6O119/HYCbN29iZmbG888/j7+/P6NHjyYhIaECzsyAiARJJUhqPLD9JL+vXwVIGDN6LHUbFl6UzLm2K33Hv0CbAZ0wszKnfl0/AIIu3CxfYasB6oxsZEjROBf8c9mqS3ckltYc/2MlOY98F4v6vXiU2NhYNm3axPPPP5/7mkajwd/fH2dnZ0JCQpg9O28T0fptBqCv14U2dWtjY26Gtmc7hAa26PfeAHfL3HG+gedx7/5qgefi1nYkTYevw6lJX6MoN/khkT1QePTVIxYtKiOK6cemE1AzgGH1hxlbnKeCyvFJNlFqDBYe47u0ygJvb2+uXLlCbGwsOTk5bNmyBQCdTsc///zD0qVLuXz5MjVr1syN96kIRIlxXVo5ag2//rCWk5cO4GTpwVvvvYFX3aLXTXkU/2fbUcfCg9PRl1n0xbfsWL6JW8evcHpz+VQqrqrcC7xLxHxDUT37VgW/1zK5nB4T30CfmcYf82aVeM/09HT69+/Phx9+SOvWrXNfVyqVBAYGEhcXR4MGDVi6dGmeeaIosnLlKlq5GqyerT+aR5Mt52h86RZN/jhNw9u3aHj7FnLziq24XVZIq1HQcrYum3cOv4OdmR3zO8039ciqIEzvcjVBamFudJdWWbQSeBRra2uGDx/O2rVrc+d169aNmjVrIpFIeOWVVzhz5kw5ntF/kSAxUln7qDsxfLfwZ+4lh9LCtyOvfzAOa1vLwic+AalMSseOHZGJUjL12VyMvs6fB7ey79pRom+Y3FwPyfwrDCvBjMwOFtTp0LDQ8c07dKJ+7+dJDbrBjt8McWlF/V4AZGRk0LdvXwYOHMi7776b7x5KpZJx48bx+++/53n96NGjpCcm4OXqjK+dM+ZOTsU93UpNdXFpiaLI7NOzicyI5Ptu35t6ZFUgJoWnmiAxt0A0ssLzaCsBoMBWAtu3byc2NhZRFPO0CwgNDUWrNQRLaDQatm7dSrNmzQAYNmwY58+fJz09HYDdu3fTvPnjQZflhSiRYIwYnmP7zvPb6hXoBA1DB7zMwJG9ysTNUC+gMe+89ibvffAePRt1ooOXIePm1oXrpV67upAj1ZFmq6HBgNaFD35A/1cnY+fXiKD9O7h07HCRvxeZmZn07duXvn378sknn+Q5FhERgUpl6JUnCAIbN27M/V485OeFC2nuXgM/W0f6L11ZktOt1Pzr0qq6Ck9URhTvH32fXXd2MbvDbPwc/Iwt0lOFSeGpJlSGoGUwtBJYunQpfn5+LFiwIE8rge3btwN52wXUq1ePGjVq5LYLOHToEC1atKB58+a0aNECV1dXPv30U8Bg4fn444/p0KEDzZo149ChQ+XWSiA/RKRQgTE8Wo2WVYv/4tDpXdiZ1WDqm6/TuJVvme5h7WaPmbUFAcN60PkFQwXhtMy0Mt2jKmMpKFHJNYUP/A+jZs5GYefIoWU/EhMRXqTvxQ8//MC5c+fYsmUL/v7++Pv7M3fuXACuXr1Ku3btaNasGc2aNSMhIYFFixbl7peWlsbOgwdp4+NF5/dmFLv4YUhICB06dMDPz482bdpw48aNx8aEh4fTtWtX7Ozs8Pf3z3Ns5cqVuTI/jDN6WC4iPDwcmUyW53hYWFix5AOQygwxUFXRwiOKIj9c+oGB2wYSGB/I/E7z6Venn7HFeuowtZaoJsR/8w3p+w9Qb/8+Y4tSbdn+1loyM+HlFSPLfa/Ye4n8/ts6snQpNPZuzZDR/ZDKyv/+5LtZX2Frbs34Ga/nviYKIoE7TpGt12BtbU2z3k9HM8O461Fo/wgn0UmN/we9ij0//l40v894C6m5BVO+X4qFVeHtGkpD6p0wVk5/E/+6Dei24Ntize3evTujR49m7NixbNq0iYULF3L+/Pk8Y5KTk7l58yZpaWnMnDmTwMDAJ67XpEkTZs+ezZAhQwgPD8ff35/U1NQSnNW/RF8/S8aLY0n/YQZt+4wp1VoVzaHIQ7x1+C0mNZvEhKYTTBlZ/6Girt8mC081QWJhfJdWdUcvSJFR/neXZ48EsmzZUtTaLAb0eZGh456rEGVHna4iXcwmSh3PrFmz2Ld2OzqtjqzoFP6+fID9V4+y5dQu9v6+/amo2hz39y0yZGoavP54yn9RcKnpSe833kWfkcaaL2aW+3tm71MXB5mcxNj7xZpX1LR5R0dHAgICsCpEcTt79izx8fEMGDCgeCdQCA9bS1DFXFo5+hy+v/Q9bd3bMq3FNJOyY0RMCk81QWpeOVxa1Rm9WL4Kj16nZ92vW9lzeBtWCgdee+M1WnZ4vEp1eWFua0lbz2ZYYQ7A6ZBLzJk7h29X/IhEhBe7D8RRasOZsEv8PPd77lwIqjDZjIFthpLs2jLMrUp+gWrariNNBwwlMzyUPxZ8UYbSPY46KZEUvRZnD89izStJ2nxBrFixglGjRuXW0wLIysqiTZs2tGzZki+++AJ9CZSWqurSWnhuIfcz7/Nhmw+NLcpTj6m1RDVBYmGOoK4eaemVFb0oRVlOCk9SXCqrlq8lQ5OAr4c/wycMQFYBVp3/0nfiIPoCWrWG+zciOHvsNNFpsbRu4E+Tzi1o0rkFIadvcOCfA/y+Yz09wzpRp0k9PBrXLnTtqka2hR5lhM5QobgUQeJ9Xh5NZkoK4ccOsHHRtwx9870ylPJfIg/sR5BK8ev/QrmsXxSysrLYsGFDnuxJd3d37t27h4uLC8nJybz00kt8++23fPhh8RQA6cOg5SpkXdx9ZzcbgzfyefvPTQHKlQCTwlNNkFpYgk6HqNUieeTOykTZIYogkZR9yNvlMzfYuedvRBH6dHuB9t38y3yP4qIwV1K7lS+18wmS9m3fGJ82Dfhl/o8cuHUcbh3nLcdpOLgb0qA1ORoUSgWJd2KJCYuiYWd/FObKij6FEqHX6gladxZtaBpOWmtSzfVl0v18yBtv8UdGOpEnD7PT2obnXy28s3lxyUpOAsDStnhpzo+mzcvl8gLT5gtj48aNNG7cmEaNGuW+ZmZmhouLC2Bwi7366qusW7eu2AqPRFK1srTupt1l9unZPFvnWYb4DjG2OCYwKTzVBqmFwQ0hZGcjMyk85YIcHTpp2V24BUFg85o93Lh7HkuZI6PGvYx7LecyW788kclljJ48luM7DnEu6ipHNu3jme4dETQ6Vm1bi14iIBEliBKRfjlq2vbvbGyRCyXmagRJm4Owz7EgW6IksbaWBiMDykThAXj5w5n89vkMbu/bjqWtHd1fLNveSR7N/eHoPiLOnMShcdE7bj+aNj927Ngnps0XhRUrVjB+/Pg8r8XHxxuanCoUuYVEW7QoftNRibxq1eH55covOJo78nn7z8vsM2SidJgUnmqCxPyhwqNG9hRmqVUECqkelVg2ymRqUjqrlq0jNScWb5fGjJw4CIWyan0dbVzs6TvmBaIW3uNKUjBXNgYbDjz4ba9j7cGdrHvocyp3g1JNVg6315zGPkKCVAHiEHd82xT/Yl8YUqmUcZ/PY9mMd7i06Q8sbWxo1+fZMls/JvAyALW79yz23KVLlzJ27FjmzZuHra1tnrT5AQMGMGDAAFQqFX5+fuTk5JCWloanpyejRo1i/vz5AAQFBREYGMju3bvzrH3ixAk+++wzZDIZOp2O7t27M3PmzGLLKH1o4akiicU3km7QpVYXLBUlLxBqomypWr+wJp6I1MLwpTJ2P63qjEIBuuzSx9VcvxjMtu1b0Is6und4js59q26at1QuZfLMaWQkphF26TbZqmysLa2o3aIeNs72fDt7IffvFy9rqCKJPHob9f572OplJPtB45e7lqv7TSaX8+qcr1n2wTROrPoFC2sbmnfsVCZra3MMMXzWNVyLPbd+/fqcPn36sdeXL1+e+39LS0uio6MLXCMjI+Ox1wcPHpxbk6c0PCw8WBWytLK0WUSkRzCx6URji2LiEUwKTzXhUZeWifLBzFyKJt2sxPMFQWD7+gMEBp/BQmrH2FHD8fRxK0MJjYeNsx3+vdvmee328atkoiZHk2MkqZ6MKj6Du6vPY5ekIMtSg93wpnj7FS+7qaSYmZvz6rz/8ev7Uznw87dYWFvj17z4Lp7/YuVkcIemR0Xi1LBRIaOrHvqEdPb2bUBa6kXqZcXiZlV5vztByYYMxgaODYwsiYlHMSk81QSphSF11qTwlB9mFnK00pIpPBlpWaz6ZT1J2dF4OtZn9OQXUZpX71iry+cuIhEl9Hyhr7FFyUUURO7uvILkdCoKBJLayGj2Qm9kD60HFYSVjQ1j5n7Dyg/fZMfXXzL08wV4+ZYui8fazR2AjKiIaqXwaJPSSfxlH9dy0vithaE20OZNvXAyd6K7V3cmNZtU6ZSfW8m3UEqV+Nj7GFsUE49gqsNTTZA8UHhMxQfLDzMrBXqZOYK+eGmxt6/eYdH/fiZZFUOnlr2Z8NaIaq/sAJhbmCNHiksJO7qXNemRSdyafwjlqQwS7FU4v+lP8yEdKlzZeYiDcw1e/uIrkMnYOGcm8fee7C4qCi6tn0EmCNzes7OMJDQugkpN3A9/Ezv3JLpUJ045XMVeb8Oq3qvoXqs72bpsNgZvpNemXnT7sxtfnv6S+5mVw316K+kWvg6+KKTV/3telTBZeKoJ0odBy6ZaPOWGTg9SvQaJtGgZF6IosnvjEc7fOI6ZxIoxL7+Kt1/Ncpay8iCXKbCQmhk9Q0XQCYRuuogyMAuJVCCtmyVtepdd9lVpcPOsxZCZX7Lpi49Z++kHjPtqEfbONUq0lrmTEw3cvLgdfZdOsTFYPbD4VDUEnZ7k3/9BdVWNRGmPxOw+TmM7cPrkDQLM2tLKvRWt3FsBcCXhCiuureBszFn+Cv6Lv4L/wsHMgYCaAYxrMg5fh7LtPVdUbiXfoqlzU6PsbeLJmCw8RiZHVzYBeCaXVvmTk6VBLuQU6UKpylKz5NvVnL95FDdbb97+4I2nStkBMFMq0YrGDTBNCoohaM4hzAOziXdV4/lBWxr3aVUplJ2HePs14Pn3P0GvzmbVx++SlZ5e4rXav/keeqmU66t/A+D+iWNkRJWsYrIxSNl2guj3t6IOskQiVeE4pAae80cQLk/nviyenj55e5o1r9GcRd0XcXbkWf7o9wc9vHqgFbTsuLODwdsH03ZtW1478BrHoo9VWHZXjj6HO6l3aORUfdyK1QWThceIbLkUzQebrvJmd1/e6lm6O5GHaekml1b5ocnWIUdb6Lg7t6P4c8OfaEQVbZt1o9+QLhUgXeVDqVSiE42Tkq7P0RG89ixWwXr0Mj05zzvyTEDlrQXUwL8l6jfe45+fvuG3j95m0jc/YWZR/HRmO19flCLEB91i68TR3ElPpqaZJcPX/FUOUpcdGUcCSf07CImZBxIEbLqZYddnRO7xf67vxUIwI6BFtyeu0dylOd+7fA9AaEooq2+u5kT0CU7cNzzkUjkNHBswsO5ABvsORikrn2y80JRQdKLOFLBcCTEpPEbkREgiekHku3+CeTXAG5tSxHVIZDIkSiVCtsmlVV5o1HoUkoIv4Af+PsGpS4dRYM6IF0fj19S7YoSrhCjNlGjRI+iFCml++pDYwAhSN4dgqVUQ56WhyehOWFhX/loo/h07kZ2VycnflvDbx+8x8atFyEtQRFQjgeCsVOR6gZoW1txXZ5ESdBuH+pXvAqy6Gkry7+dB5okoKrHy12E/7MXHWnkcTTpBW3kLzMyL1tesnkM9vuz4JQCp6lR+v/U7+8L3cSPxBtcTrzPv7Dxq2dSid+3ejGo0CkcLxzI7p1vJt5BJZKZWEpUQk8JjRFKz/7UWyIoYF1IQUgsLBFMdnnJDqxFRyPM3i+eoNaxZupF7KSE4W3kxdspwrG0r/0W2PFGam4EENCo15jbl/15o1Rpu/34GuzDQKHRYvORNmxZlX0CwPGnfux/ZWVlc2rCaVZ9NZ9ycr5DJivcz7SpVIFea8ezs+citrFj2+lgurviFnl99Xz5Cl4CciFgSfz2MoHEHnQ3mddNxGvc8UrPHFbz7cVEEye4wwrNklantze2Z1mIa01pMQ6PX8Hfo32wN3crt5Nssv76c5deX42TuREDNAMY0HlPquJ9bSbeoY1cHc7l5qdYxUfYU67ZryZIlNGvWDFtbW2xtbWnfvj179uwBIDw8HIlEku9j48aNT1xTFEU+++wz3N3dsbCwoGfPnoSEhJTurKoIKSoN5grDn2DsyvOlXk9iYWFyaZUjGp0EZT4Kz72IOL5f+DP3kkNp4deR198f+9QrOwBmFoYU/pzM8rc6RgfeIXjuEezCRJLq6mkwszu1q5iy85Dug16kwfODSb0TzNq5nxc79uSV9VsZvnoDtt51sKzhgrd9DYLuBKPPMX49JG1SGjFzNhL/43WEbEcUNZLx+KI7NaY8l6+yA/DPpd1IRSk9WvYp9f5KmZKh9Yey7rl1XBp1iV96/kLnmp1R69X8HfY3g7cPpvOGznxz/huyNFkl2uN28m0aOjYstawmyp5iKTyenp4sWLCAixcvcuHCBbp3787AgQO5ceNGbgO6Rx+zZ8/G2tqafv36PXHNr776ikWLFvHLL79w9uxZrKys6NOnD+qnINsoTaVlVLvafPJcQ87dTeZUWGKp1pNaWJhcWuWIVi9DaZb3K3Pm0BVWrFiOVshhSP8RDHy5V6k6a1cnchUeVfl9JjVqDReWHkS/IQoJEuQv16bFxG4oq0iz0ifx/KhxeHfrS8KNK2z834JSrdVi2MuoZVICV/5aRtIVH0GlJu77v4mdewpdmhMymyTcPmiN2weDkRVi/TsSe4zmYkPs7Z3KXK6ONTvyc8+fOfPyGbYN3MZzPs+Ro89h9c3VtF/fnqE7hnIg4kCR19MJOoJSgkzxO5WUYtlK+/fvn+f53LlzWbJkCWfOnKFx48a4ueUt/rR161aGDRuGtbV1vuuJosj333/PJ598wsCBAwFYs2YNrq6ubNu2jeHDhxdHvCpHarYWe0slYzt4c+h2PFPXXWbHtABq2hfNT/1fJBbmCNmqMpbSxEN0yFGaG5QZQRD467fd3I66gI1ZDV6d/AoOzsXrUl3dUT6o/p2TVT4KT8ytSBLW38RFY0lGPQn1R3VF/gQrQVVkyOQ3+CMzg6hzJ9m5fAnPT3itROvU7tUHlv/IkcN7aTn5jQrNUBN0epLX/IPqWk5uirnzuI6Y+3Uv0vy0tBQuS27wpsvkcpYU6trXZUEng3J5OPIwv1z5hVvJt3j3yLuYy8zpVqsbb7V6i5rWT862DE8LJ0efQ0Mnk4WnMlLiW1G9Xs+GDRvIysqiffv2jx2/ePEigYGBj3XOfZS7d+8SGxtLz57/Nruzs7Ojbdu2+fZ1eZScnBzS09PzPKoSgiCSqtJgZ6FALpPy08stsVDImL7paonXlJpbIJosPOWCKIpoJUqUVkoy0rL4+euV3I6+gI97Y96ePsWk7OSDudUDhSezbN2sgl7g2rqT5Ky+g1KQoxxem8YTOlUrZQdAIpEw8t3p2DZoStCBXRzetKHEa/nWrgtA7MULZSVeoaTtP0/0+9tQB1sikWbh+KILnvNHYO7nVeQ1jlzaj06ip4f/k70E5UE3r2782f9Pzrx8hlebvIqVwoo94Xvou7kvfTb3YdX1VeiExxMYbiXfAkwtJSorxVZ4rl27hrW1NWZmZkyZMoWtW7fSqNHj9QZWrFhBw4YN6dChwxPXio2NBcDVNW+zO1dX19xjT2L+/PnY2dnlPmrVqlXcUzEqGTk6BBEcLA2md0crJW/2qMfJsESuRaeVaE2ZowO6hPgCx9w6fIbgM4ElWv9pRlSr0cnMuafR8MP/fiRZdZ9OrXsxespQZHLjVOqt7Fi5GJTAjMSSfZ7zI+1+Ale/2IPDVYE0Dz0+HwXg5l+7zNavbEilUsZ+8gXmXj5c3LiW8wf2lmidfp98iblOz98LZrH7nTfIiiv497W0JK87RPqBDEDAprs5tb4dgVWb4ls9Dkcdpq7eCy8P7zKXsShYKix5p9U7HHnpCH8+/ycdPToSr4rn24vf0vqP1ozfN54r8Vdyx19JuEJt29rYKG2MIq+Jgim2wlO/fn0CAwM5e/Ysr732GmPGjOHmzZt5xmRnZ7Nu3boCrTul5aOPPiItLS33ERUVVW57lQdpKkOGlr3lv3elQ1p64uNsxff/BJeoSJbSsxbamFiSYxLQ6/Tcu5dAQnQcd6/cRpWl5tD8n+C1cejHjmDHmDfL7FyeBnISk8mwjSVYvIGZ3IqxoybQ4/mOxharUmNtZ4MCGUkJSWWyXuzZ28T97xzWKjkZXS1p/mYPlFbVPxNGoVAw/ouFKGq4cvS3xdw4V7D1O981bG1pWNObLJmEW/cj+OXNCSTfvlUO0kLCr7vJCpQiIQ7Pef2x692mROtocnI4rbtIV4ey6SZfWho5NeKXXr9wceRFZradSU3rmpyLPccre16h04ZOLDi7gDP3z/CM2zPGFtXEEyi2wqNUKqlXrx6tWrVi/vz5NG/enB9++CHPmE2bNqFSqRg9enSBaz2M+YmLi8vzelxc3GPxQP/FzMwsN1vs4aMqkZqtAcDO4l+FRy6T8mYPXw7ejuelZWcY+sspvGfsYuq6S0QmqTgVlohK87gZNTZNzZrT4YSrRDR37xLXrTM3mjYnvUdnEnt2Rf3SICJatcB99c/catQOrVRGvbMHuNi0BYcCehFyruRutKeBtMhIfl/0PSrrCOq7NuLdj16ndr2qWba/IpFIJNgprElJTSnVOoIgELTyHzRbYlHpMth/bxX1e5e+u3hVwtzCglfnfoPM2o693y8k/NaNYq/xzJvv5Xm+9bMPySnl3+a/xH3/NzlhNkhlMXjMG4rUsuQK6anAI6hkano2KX12VlkilUoZ3mA4uwbv4uDQg7xQ9wW0gpa1t9cSkRGBn6Op/k5lpdTpJIIgkPOfdMcVK1YwYMAAatQouCdMnTp1cHNz4+DBg7mvpaenc/bs2XzjgqoTqflYeAAG+tdkWGtPzt1NJiJJhVIuZc/1WDp/fZiXfz3LkCWniUpWseFcJGNXnuN/+4N44eeTfPb3DZaHGGIl4m1rcKdDb+50NQSZ3/WsD4BWIqP/X8tpfO0q8e/PIrpDb2RqNSkTX+XW6UDSU9JJT04jPa502WLVibCjR/ll8RKSFQpeCujIiNeHmVxYxcDB0o6U7JLH16nj07n/8UmsgsxIsU/mrOIUmTLtU5kJZ2Nnz6gvvwIzczbP+5y4YraMsK5Xj7GfL6Tfc0MYNuUdMkQ9296cgqArm2rYsfM3oY11RGp+H/e5LyFVlK7M26Gwg7jqnWhUt3mZyFceuFi68GXAl5x5+QyTmk0CoGvNrsYVysQTKdYn8qOPPqJfv354eXmRkZHBunXrOHLkCPv27csdExoayrFjx9i9e3e+azRo0ID58+czaNAgJBIJb7/9NnPmzMHX15c6derw6aef4uHhwQsvvFCqE6vspKgMFp6HMTyP8vGzDWnt7Ui/Jm7YmCuIS1fzx5kILJVyFu69TaevDueOPX83mcY17fh1dGtc7XoQc20wHdo0RvHgx0aT/QUNLczRqnNITU5H8eBi3WXCSzDhJeIj7hP6wiD0417mHgY3Wqq5Dc7LVuD7zNPd/O7kihUcDA/HSdAzYvJrONapY2yRqhyODg7cT41DFMViZwclBIaSsyEGAHVjPc1HDebQxC1Y2jy98RHObu4M+3QOf34+nbWfT+fVr3/E3sm5yPOdGjXGqVFjAHqEhbD/wE4OTn+XXt8uKpVc+gwVujRXREGH22dDS62QCnqB49ln6GLTocootxmaDGrb1sbNumDvhAnjUSyFJz4+ntGjRxMTE4OdnR3NmjVj37599Or1b0O33377DU9PT3r37p3vGkFBQaSl/RvE+OGHH5KVlcWkSZNITU0lICCAvXv3Ym5evX3zadlaFDIJlsrHrQX2lkqGtf43CNvV1pz3ehusNJ18nYlJU7PlUjR9GrvxQou8KZIuHfLeDT1MDVaYm1HD43GLm0ttD4StW7i4ZjNKS3Oyk1Nx3r0Z3ehh/OPkif/m9Ti7Ff0HtTqgz8lh28KFXBME6kskDJk1C6WlqZBgSXCs4UxWeA45yVmYO+VfniI/QtYfQXFZIFuShdPgBni29SUpIR59eire3SqXi6OiqeVTj/7vf8KOhbNZPfN9Jn37MxZWVsVep+mEKSTeCeNS2C2cfvyeltPeLpE8+qxs7s/ehkReC8vmQpkoKFdvXSBRnkJP3/yvI5WRy/GX8a/hb2wxTBSARKyoFrLlTHp6OnZ2dqSlpVWJeJ5FB0NYczqCC5/0LHxwBZORks7ZpWupuWoRqeY2ZFnYkNP7OZ6d9U6l6jJdHqTfv8/6H34g1syMzm5udJkypcrcYVZG7gQGsWbbesb3H0WtVnULHa/NUnP7+704ZDiRbJlAg7f7oLQ1XMyTE+L5bdp47H0bMeHLheUteqXn8vGjHPz5G5wbNWfsZ3NKtIYgCGydMIrIjFQGjXsN72efL9Z8TXQs9z/7G5mzL1atpDi+1LVEcvyXbzbOYXPmDo6OOo5SXvmLSGZoMgjYEMDn7T9nsO9gY4tT5aio67fpl9xIpKq0j8XvVBZsHGzpOeM1QgeNJcPGEb25BT5//srBJeuMLVq5Enn6NMt++IFkmYyXOnSg2+uvm5SdUlKjtiG4O/FeXCEjIfl2JKFf7Mc23Y7MRjk0/XRQrrIDGBpHSiTotZpyk7cq0aJTF7w7difpRiCXjx8t0RpSqZT+i5ZiL5Wz87fFJN8sejB00rojxH51FpmDN9YdFGWm7AAcSz9Je0XrKqHsAFxNuIogCrRwebqC6asapl9zI5Gq0uBQSRWeh/SfP53ex/fS5/BOYpxrkXrilLFFKjcu/vEHa3btQgFMGDOGBn37GlukaoG1vQ0K5IWmpodtO0nab8FIRRlmQ91pMLrnY9bEwONHkAgCzbtXHTdHefPCa1ORWtty9I8VCIJQojWU1tYMnv8/dBLYP392nmOCTo86OBJBEBBUatL2niNm3iai3tlI9lUZEmk6tr0scXih7FLHwyNCuSuPprt30aoxVwYuxV/CwcwBb1tvY4tiogBM3dKNRGq2Nk9KemUn294Js7RkY4tR5gg6Hbu/+ooLGg0+wLCPP8bczlQ1uayQSCTYK6xJTss//Vmn1nD7x73YJzmQYp5Ovbd7YuGYv0k7cN8uAFp2qToXwvJGLlfQZsgIzq5eytn9u2nft3guqYdc/m0ZeqmU+u3y1pZKWX+Y7BtmiJprIDNHIlMiaq1Bmoy5XxaOY0eWuRX0n2t7kQtyurToVfjgSsLl+Mu0cGlR7V3+VR2TwmMk0rO1eDlVnUBYjaU17sFX0GSpuBd0F0cvD+ycHYwtVqlQJSSw4ZtviDQ3p729A73eetPkwioHHCztSM16vNpyengs0UvPYSvYkl43k8YTXijw/VenGhRuhbJquDkqig59n+PcpnVc3r+nRArPzVUruBh8nSaePrR44608x7QxaYg6W2R2mUitcrB6pi5W7duXOuW8II4kHKOVpAk2VpU/FhNAq9dyLeEaU1tMNbYoJgrBpPAYiXS1FlvzqmPh8Rr7CtIPznK5Y1ds1RkcbdSWAVtWGVusEnP/4kX+/PNPVAoFg1q0oHk1L4NgTBztHYhOjc2Tmh6x9wL6QynIkSPt70CjTl0LXEOVlQlqFWYu7qa76P8glUrxavkM4ScOkRwfh6OLa+GTHhBz8gQHdm7G3cKanl/977HjQqYOUZeBx+cvlaXITyQ5LZFrktt84Fp1KsHfSr6FWq82xe9UAUy3s0YiPVuHbRVyabV6tguRo6eSam2w6vjePMvN4xXXiLAsufzXX6zcsgUkUsa99JJJ2SlnHGs4oZLkoE7JQtDqufn9bmRHsslUpOPx7jN4diq8sJxcbviu5MTHEBlUPi0RqjJdBg8DkWI1GE2LjmLb/+ZjIZEy6PvFyOSP/x4J2QISScUFiR+6vA9BItKjedWJobscfxlzmTkNHU0d0is7JoXHSBgsPFXLwDZw+iT6nNhHWD1/AEK++s64AhUTvU7HzoUL+fvmTWqKIlNmTMejWTNji1XtqeFpsDhEXwrh9qxdWMdYkVIzhcazB2JdxBpPSjMzRn+/DIDj2zaVm6xVlRoeNbGs6UXEuVNFDl7uev42X7z+JR5Dx2HxhOKFok6ORGFYLyQkhA4dOuDn50ebNm24cePxjK7Tp0/j7++Pv78/jRs3ZvLkyXkq8a9YsQJfX1/q1q3LxIkT0Wq1eeZNGfMmkR9HMGv2l49V8K+sXI6/TNMaTVHIqs4N7NOKSeExAlq9gEqjr1JBy4/Sb/Nq7rbqgl/IJba/PYu05LLrhl1eJEZG8uWcOVxQqWhvbc3oOXOwcCi/GKSiXBzgyReA8PBwunbtip2dHf7+/vnOFUWR7t27Y29vX05nUTY41zZUno09FIZCo0DoaUHTaQOQyYun8Ndw90BiYUnC3bDyELPK07Jff8TsLM4f3F/o2MPXrhNjXwNRKmWSUx0+27CN2Lj4fEaaIbUwXCYmT57MpEmTCA4OZvr06YwdO/ax0c2bN+f8+fMEBgZy7do14uPjWbx4MQB3797l008/5fjx44SGhhIXF8eyZcvyzGv6eWOmf/tOnnmVGVEUcwOWTVR+TAqPEchQG3rXVCWX1qPIzJQ0+vAdguq3odaBrRweX7n97ZFnzvLTb78B0KdhQ/q8/365BycX5eJQ0AXA1taWOXPmsG7dk2sffffdd9StW3gxP2MiCAK7Nq8HIIssakzzx7tXybtJO9bxRZ+SyLHtW8tKxGrDMz1642anQb1vARRST/aroAgcVencad+A15OiWe5cixbXo2m7aT8Bf+0l4K+9DPtjG6H21shsFMTHx3PhwgVeeeUVAIYMGUJUVBShoaF51rW0tEShMPyuaTQasrOzc2OuNm3axIABA3Bzc0MikTBlyhTWr1+fOy9Hm0OiLIXatl555lVmItIjSFYn09KlpbFFMVEETAqPEUjPNtzFV6Wg5f/i3bw+L/y9hqRXJlHv1nli7kQZW6R8ObdmDat37sBBlc24AQNoP3x4ue9Z1ItDQRcAR0dHAgICsHpCy4AbN26wbds2ZsyYUb4nUwpSkxL5ft4cbkfdp7adDT1mDcfeq3Rd5kd+9DlSa1uu7N1eRlJWD0RBIOLP6Yz0OEsX68tELp/yxLEnbgdx2akmr9rIsTQ355NhA7jUtBbz1Ul0yMmijTabxppsjtX05sNW9sgcLImKisLd3R35A6ucRCLBy8uLyMjHG5iGh4fTvHlznJ2dsbOz4/XXXwcgMjKS2rVr547z9vbOM//4qcOEfhrKxBen5ZlXmbkcfxmA5jUqb4NTE/9iUniMQLr6gcJjUbViePKjXp9uyBC5deCEsUXJg16jYducOey+cwdvEaZ8MpPaLSvmLqyoF4fCLgBPQqvVMnHiRJYuXYpMVjk7t187f5Yff/iBjBwNXVu3ZNw776FQmpV6XYVSiZmNHdqszDKQsnqQdPskcQtbUydoGeEe/bnn0BWvexuI+6w+kUtGkXR6I4I2O3f8wpth2KsymNq+Te5rbq4ujH2uF9+NHMR3Iwex9JVBtI8Mp0aOgLxG8Zq1ent7c+XKFWJjY8nJyWHLli1Fmpcjz6Lel/UIDr5VrHnG5GHcTpqm8rv1TZgUHqOQnv3ApVWFLTwPqd2iIbEO7ujX/EaOSm1scQBIj45mxSefckWjoZOjEyO//AKzKtBfrajMnj2bwYMH07Bh5csKEQSBzat+Y/POXchFgbGjRtG1/8Ay3UNhZYWg07Fr1a8c3V7wRbG0sVQPeVK81Ndff02TJk1o1KgRgwYNIjU1tTSnViQEnQZtchSZkVcJW/sedhv6Y6ZN437PJXhP+gOPaVuJafkJKK1wi9mF074J6L/0gFl2MMuObqm7GW0uYK4o+PcnxtySupkCCndHatWqRUxMDDqd4bdLFEUiIyPx8vJ64nxra2uGDx/O2rVrAfDy8iIiIiL3eHh4eJ75UakGZf9M0PE88yoz7dzbAXAryZQ5WBUwKTxG4F8LT9VXeCQSCXaffIZb8n32vDbd2OIQfuwYS3/8kSS5jGHt29PjzWkVXkywqBeHwi4AT+Lo0aP8+OOPeHt7ExAQQHp6Ot7e3iQkJJTtiRSTtORkFs37kmvhkXjYWvPux59Q269+me/Td9xkJDott/f8zYW1vxEf9WSrWGljqR6SX7zUgQMHWLlyJadPn+bmzZu0atWKmTNnlsk5Pon7x9aQNacOikVNsP6tE3VDlnPPtSfWHwTiEfAyABKpFPcBH+D6ySVkn9wjrvcK7nv829Dy3cjfmda+dYH76ASRaCcn6mQKKL1ccHFxoWXLlvzxxx8AbN68GU9PT+rVq5dnXmhoaK6yqNFo2Lp1K80eZEIOGTKE7du3ExtrqMn0yy+/MPyBizk0NJQejQyp6MejTuSZV5lxMnfC0dyRkJQQY4tioiiI1YS0tDQRENPS0owtSqGsOxshes/YKer1grFFKTN2zJgvXqvfUExLSjWaDKeWLRO/+OQTcdGH08WEkBCjySGKotilSxdx5cqVoiiK4saNG8VWrVo9NiYsLEx0d3cXY2JiREEQxP79+4s//vhjnjGHDx8Wmzdv/sR97t69K9rZ2ZWh5CXj6tnT4pczPxZnffqJeGDb5nLfLykuVvxm2HPiN8OeE/V6Xb5j4uLiRBsbG1Gr1YqiKIqCIIiurq5iyH8+G1999ZU4efLk3Oe7du0SO3bsmPv8+vXrYqdOncTQ0NA87/XXX38tTpw4Mff5xYsXRRsbm7I4vXzJSksS0z/3EGPmtxLv7PlZvHNotZh5P6hYa5z8+3MxeU6tQse9t/+66Hrosrh53mFR0OtFURTF27dvi+3atRN9fX3FVq1aiVevXhVFURTHjx8v/v3336IoiuLSpUvFxo0bi82aNRMbNWokTps2TczOzs5dd9myZaKPj4/o4+Mjvvrqq6JGoxFFURS/nD9brFnLXbT1tBHta9o9Nq8yM37vePHtQ28bW4wqTUVdv6t+EEkVJD1bi7WZHKm08mchFBUzRwdkiAh6fYXvrVOr+XvefK5JJfjJZAz5bAZmTwj2rSiWLl3K2LFjmTdvHra2tqxcuRKACRMmMGDAAAYMGICPjw+zZ8+mY0dD/6KuXbsyefJkAFQqFX5+fuTk5JCWloanpyejRo1i/vz5Rjun/BBFkR1rV3MpOAylTMYrI0fiXQ5Wnf9i/0jdmJ/fnMykb37CzNw8z5iCYqketUwUFEv1MF5qxYoVj8VLtWrVisWLFxMbG4urqytr164lIyOD5ORkHB0dy/yco7bPx5csZK+sxM2zaYnWkGQlkGrmSGEFGRK0epBD51aWSB5YSOvXr8/p06cfG7t8+fLc/0+aNIlJkyY9cd2JEycyceLEPK9p9VoCXS7g8KUTDjjRStKURaMXFf2kjIyvgy/H7x03thgmioBJ4TECVa2tRFHIvnCRTKUlJ79aghh0E9dJE2nzfNdy3zf1zh02LFlCnIUFXd096DJpUqVIZy3KxQHyvwCAIU03Ojq60H28vb0rJG4kP9TZ2axc9B1x2Rpcba15depbjykd5YVUJkNUKJFoNWgSYvlxwkh6v/Euzdp3LHxyMXg0Xio8PDzPsW7duvH+++/z/PPPI5PJGDRoEECuglUS9FoNkb+/gSzjHi5jVmJubyjaqM7KwCXsL+Kc2uNeQmUHQK5KJNPcqdBx7nI5tdU5OPcreQmBorLun98Ikt1lLENxtq9BiwZty33PssTPwY+1t9ai0qqwVFSd/ohPI6YYHiNQ1dpKFAWZX32sNSrcd/9F3eBLxH//fbnvGbZ/P8uWLiVVoWBE1250nTy5Uig7TwP3wu/y3fx5xGWpaVW/HlPe+7DClJ2HDP74Szxat8evzwDQadj/w0J02n/bIJRFLFVh8VKvv/46Fy5c4OzZs3Tt2hVPT09sSxggLwoCkctHUSfyL7xSTpJ06GcAUs5vJPWnbtiJadj0+6xEaz/EIjuR7CIoPB5mCmIVFLlqc2nwdWsAwDONOzBm4Gs0q1+1atr4OfghInIn7Y6xRTFRCCaFxwhUxbYShdF31juovv6ZOkePcf/dWfhEB3Hp73/KZS9RFDnx44+sPX4cS6mUSZMn49e9W7nsZeJxTh8+yPLffkMnCAx57ln6j3jFKIqmT6PGjPhgJv1fnQQSKRJRQCb793tV1EDbgoJpjx8/TkREBOHh4Zw4cQJbW1vCw8OpUaMGADExMYDBBfnZZ5/x4Ycflvh8wldNok7cXqI9nkVAgiYtlujveuCwawJoVER3mId1vfYlXh/AWp2E1rJGoeNqWpmRI5OQlF7+7R2eadKRhrq6zLo6h+SUxHLfr6zxsfdBgoTglGBji2KiEEwKjxFIz9ZWPwuPTEqr/t1xcLaj6/ihJNg4YzF9GidbtGP76x9zbeehMtlHm5HBxpkz+ScpCT8zMyZ//jmOj8RfmCg/BEFgw2/L2Xf0OFYSkdenTqVp23bGFgsAifAgduw/itfSpUtZunQpfn5+LFiwIE8s1fbthuKFj8ZS1atXjxo1auTGUhVG7969ady4Mc2bNycgIICpU6eWSP6IbXOpE7mRu/XG4jlpPdEO7akT8SeuaYHcaTET5xlX8Opd+kJ8djnJiFaF9y+rZWcBQGRSVqn3LAy5TM63fb4jXpbE97u/Kvf9yhoLuQW1bWubMrWqANXLzFBFSFfrqONs3KDa8kQmk2I/Zz5hPy1GJ5HhfOYwksN/c07zHc8M7l3idZNv3WLD8uUkWlnRs04dOo4ebXJhVRDZKhXLf/yBJJUaL1srRk17G4VSaWyxcvFs14noM8dJTUrCwfnfC3ppY6keJb94qWvXrpVc6AfcP74Wz8BvCHfujvfLhoa87hPWE31oCRY+7fBpXDbWS0GvxUGbhtTapdCx9d1tkUZFc+5+Kq3qFq3Ba2m4EW14HzvV7FTue5UHvg6+JoWnCmBSeIxAenb1C1r+L836BNCsTwAAOo2Wff2H4zT7Y+74+eBkq2D5B2/QrGEzes2aV6T1grdvZ+upU2Bmxsi+fanboUN5im/iEWKjo1i5/FdyBJF2jRvQ96WRxhbpMVLvGQK8JZW08vSTSLp5DKeDbxNj2ZBakzfkZkQprOzx7P9Rme51/swG2gJ2boUXrLSzNqOXWsZX+gxa34qjTUPXMpXlUTQ5OXx/YxGtJU3p0fm5ctunPPF18GX9rfWIomi6CavEmBQeI5Cu1laLthJFRa5U0GnNUq48/wKRY0ez09sBZBKu3rpK1+xsFBYWT5wrCgLH/vc/jqal4SyT8fLUqdi7l64fk4mic/XcWbbt3AmCwODnni3zLKiyQKfTkRl1FyuvOtg7FJZwXXnIuBeEcuNI0uXO1HhtBzJF6VtvFITZtb8AqOVTtMyrxd0bMejwdUZH3mebUk79uoUHO5eEP/YuJ0YWz/8Cvq3wIqFlhZ+9Hyk5KSSpk3C2KH+LmImSUTU/XVWc9Gxdtbfw/BdbV2dqL/+Ve3V80cokuCgNLr27/+x74pyc5GT+nDGDw5mZNLK2ZtKsWSZlpwLZs/FPtuzchRKRSZMmVUplJyMtje/GvgRAky49jSxN0clJTyJn5UBEwGzcNsxsykeZeJQMhTUASfevF2m8lbmcdZ0bopPC8uCYcpFJk6NmbeJf9DDrTKN6VbcBp6+DLwDByabA5cqMSeGpYDQ6gWytvtoFLRcFr+YNqfmWIajTc6AhCybm1AlWDX+B9SNfRHiQPgyQcDmQX+fMJdjMnD4NGvDi9OnIC+n9Y6Js0Go1LP/+W87euIWzhZK3ZnyEm1flDAzf+uO3SLU5mHt6E/B82fbsKi/0GjVJvzyPtS4JzdC12NYs/0KNAEq5wYLkVbvoad86jZ5MGTS1L5+Yw90ntxEvT2Z824Ljpyo7njaeWMgtCEk1xfFUZkwKTwWT8bCPVjVLSy8qUonhI5d5/QoA10NvkazXcl+n5vrqFQDc3LCBFX9uQGVuxqiBA2j/IEXYRPmTnBDP9/PmEp2STpNaHrw+/WMsLCtvgH2N2nUAUEeHc/3iBSNLUziiIBC9dBiuqtsk9fgB50ady22v/zZOvZtl6HqemvqvtSY8PJyuXbtiZ2eHv79/nvmHDh2iQ8f2JIwbwrxxz/Hhhx/m1uUJDw9HJpPh7++f+wgLCyu2jPGqeOSCHE+nWiU/0UqAVCKlnn09U2p6Jcek8FQwadnVp3FoSZBJDUGl6sw0AJzMLHM/hEf2/M3vE8ez8eZNbBUKprzzDnVaF9zk0ETZcTvwMj//uAiVTk/fzh15cfykSh9T0XvEKAS54bt0YtN6I0tTOJF/vEntpKNEtfiQmp1eLte9/ts49YvvtwJgafevW9jW1pY5c+awbt26x+Y7ODjQ9L159Fy8hcDAS5w6dYo1a9bkHrexsSEwMDD38d/mqkXh+WcGI0j0bD+xqQRnWLnwc/AzZWpVcir3r1k1JF1tcNs8bTE8D3lg4MGhdUckoohcKkWu12Mtgr21A2E1ayFKpcTLZBwtIL7HRNlyYNsWNmzZikwUGTd6NO16lLx8QEXy97LFSHWGmwj/Si5z9K6vqX3nd+7UHoH3wLLNwPov8fHxXLhwgVdeeQWAxs09SYqJYau0NRaKf8sJODo6EhAQgFU+vecaNm7KVS8PultaYG5ujr+//2PtNUqLh4sn7aQtWRm3lsT0hDJdu6LxdfAlLDUMnaArfLAJo2BSeCqY9FwLz1Pq0npgMTDz8qG1f1sicrLIUchp2qQlr/z2Oy3qeGH34FN5MSiUNT8tIis9zYgSV290Wi2//fA/TgZexdFMzlsfTsfL18/YYhUJURAIO2EoaFmzbSfa9exjZImeTOyZTbifn0e4QyfqjFlc7vs92jg1R52B4+ZRuDpYoGj1ZpHXyMjWopECAsTGxrJp0yaef/753ONZWVm0adOGli1b8sUXX6AvYePgDzvOIEGWzNIDVadhaH74OfihETREpkcaWxQTT+DpvOoakXT10+3SeqjwCKJIl48/o/aBfcjlCjy6dkMikTBwzKsALJz1GdmCyJ3EZP74ZTGTPyzfO+KnkbjoKFb/ugwVUhrV8uDFVydWehfWQ3LUan4cPwKpXodz05YMf3e6sUV6Iikh57Db+wZx5vXwnLIxt9ZORXFpz3xa5qSgd6iDRm6BVhBRSAuvFVPDzoKX9WYsVsXzR98RfPjhh7R+4GJ2d3fn3r17uLi4kJyczEsvvcS3335botYaarmh/1kjh8bFnluZ8LV/kKmVEoyPvY+RpTGRH1Xj160akZ6tQyIBa+XTqWvmKjwPgh9r9+pDzW7dHyvW9fb0GXw04yOaeNciJktN4OmT5SKPKisToYR3plWZswcPsPSXX1CL8Gz3bgybMLnKKDsAu5b9hESnRWrnyKA33ja2OE8kKyESyfqXyJbZ4DB5B3KzJ9ecKkseNk6NuheM/7Vf+aXmUG5HxTApQY3X0SucSsko0jrTmriQ+PFUYpu3p1P/Ubmvm5mZ4eJiqNjs6OjIq6++yvHjx0sk677LO5GKEvq2eL7wwZUYe3N7XCxcTIHLlZiq8wtXTUhXa7ExkyMtwh1WdeTheRfWhdnMwhIzS0teeGU0MkHP2ZMnykyGHet+56vPPzU8Fn7Fqp9+KLO1Kzt6nY61ixex59hxzBUKJk+ewjNduhpbrGJTq2ETACwdHLF1cDSyNPmjzc4k49cBKAQ10lc2YeHgVmF7P2ycuuzTV8iSW3MyowEuHh60bdgAEYjN0Ra6RmZmJiOGDuSNFwbQYthEXoyIZvslQ0Xr+Ph4tFrDGjk5OWzZsoUWLVqUSFYvm9oIEpGeW3sRdq9qKwumFhOVG5PCU8GkZ2uxs3w63VnwqIVHLNJ4uVyBm70tMelZnDt2pNT7b1/7OxeDw5BIpSgUCpAYmhc+DSTF3Of7ObMJiU+mjmsN3v14Jq41axpbrGKj1+s59oehhIFdLW/jCvMEBL2e+78MwVkTSVb/ZdjX8a9wGd79YBz/HLhEqyUq7qz9nf3r19LP2Y60b2Yzb92fJGq0qFQqPD09GTp0KDdv3sTT05OPPjK4j3/44QfOnTvHvt07iPl4DBmThjPy5/msPWvoHN+iRQuaN29Oy5YtcXNzY+bMmSWS88UeI1ngPQsr0YJX9o3ifGD5WHMrAj8HP1MtnkrM0/FLX4lIV1f/PloF8V+XVlEYOm48v3z3HbsPHgZRJCYqih4DBmJta4der+fw9m1kZmQgVyqxd3CgY++++fazOXvkEJeCQ3GztmDSex+SlZ7Gt9//gLNL4c0UqzqXjh1m1/4DCFI5PTq1p1OvyhvgWxDblv5E6OF9SEQRrGx46Y23jC1SvoSvfh2ftDNEt/sCz1b9K3x/QdDjF7KU399pic9bp5A+UOpVKZm4fTiLaEHkuYshnG3fiOjo6HzXmDlzZh4lRqcXeGvfDT7ISmGRe0uuXy9axeai8FyXIXRo2pUe23uy/eZW2vhXvqreRcHXwZeVN1aSqcnEWmltbHFM/AeThaeCeRrbSjxKUV1aj2Lv6MS0Dz5AKujZffgol0PvsOX31ej1ehZ/vZATV64ReCecC7eD+ef0Wb6e9RlH9+7OkzWSkpDA/kOHsURgwtvvIZVKiQwLBcCjVtUuelYQgqDnr6U/s/2fwygUCiaMH19llR2AsEN7kYgidg2a8vqPyytlo8a727/CJ3IDEXVH4dnXOArZhRMraZB6A03vebnKDkBbB2vudmlOK1tLItQaZgRHFXlNuUzKD30a86xWzluqFHafL9tsJFEqIiJSz7lqZAnmh5+DQfbQ1FAjS2IiP0wWngrmaWsc+l9kDyw8olg0l9ZDrGztGDF8OJfPnCIuPp478Ul8M+cLsgVo17ghvQa/iF6n49Thg5w+dYrDZ85x6vQZOrZ9hrjYGG7djUBEwkuvjMxtUXE/MgKAWj71yvYkKwnJcbGsXvIzacjwdHZk9OTXUJqVb4PK8sbMvRY5MVG8MGUaFvnUjjE2905vptalBUQ5BuA10jhp1qrsDLxPzudCzZ60bpJ/f7Fn7Ky4mK6ip6NtsdaWy6Qs7tmYl/dfY0ZSEt1yPLAwK5vfsx/3fItCUNCv+YAyWc8Y1LGrg0wiIzglGH8Xf2OLY+I/PL1XXiORnq2lbo2n19T5MCVXLIaF5yG+jZvg27gJOp2WP5b8THhCMrWd7Ok7zNB6QiaX07Xfc3Tp+yxnDuxl/4lTHDp3AUQRZ0sLBg57iVp1/1Vu4uPikAh6HKuhS+vy8aPs3LsPQSanS7s2dHv2OWOLVGrio6PIiYlClMlxdK24AOCikhh8Hod9b5BkXgePyRWffv6QC4d/pp0mFc3z8584xrwUsillUuY2rU234LusPBvO651Lf8Ow8/hmNml28obbBFwq4d+2qChlSurY1TFlalVSTApPBZOu1j21NXgAZA9dWsW08DyKXK5g7LS3n3hcIpHQvnc/GrdpR0piAla2tjjn8yOampqG8sH46oJer2Pjr0u5fT8Oc4WCkWPGUKtO9agJsmP5EgBaDHm50qXQZyREId3wEhqZFXaTdyAzszSKHDpBxOn2VkLdO9DI/cmuoUmeNfg+Io6Fd2Pp6WxX7H3qe9oTcEXKXjJ5vYBxoigSHJ9BWGAswWEn2We+iQ1DfsfO7t/MuqiocGaFzqW7tAOT+k4rtiyVDV97U6ZWZcWk8FQwadlPd9CyrARByyXF1sEBWweHJx7PzM7Gyrxqu3geJSk2llW/LCYDKV41nBg1+TUUSmXhE6sAibExpN66ClY29BgyzNji5EGTnUn6rwNxFFToxu7F3MHDaLJcunmEZ9JvE95tRoHjZFIwk0oIzlKXeK8ciYijWLDiuXPTDVpcTKEJsKfWDaJlkUzc/Cqrhq/F8kFT2g1nf0eGjDkvfl3pFNmS4Ofox4l7JxBFsVrdTFUHTApPBZOe/XTH8JTGpVXW5Agi7nbFi2GorFw4epjdB/5BlErp3rEtnfv0M7ZIZUpCtCG41trVeMpEfgh6PdFLhlJbc5fU/qtx8vY3qjzimSXcs6yFd/OBBY4bfDkMtSDyed2Sv58KUUK25MmW2ui0bOpeTeVqXSs6v9SYc/sXI8lScEcSSc8NPbDAnM+afMz+jEP0lHfCxqp6fBd97X3J0GYQp4rDzarquueqI1Vfna5CqLV6cnSCycIDGFvfyUhNRZDJca5RteN39Hod65b8xM5DRzCTy5k4fkK1U3YA3Gp7A5ARXrlcBSGr3sAn/RTx7T/HqZVxg20T4+/SKvofIpuPgwIsJTOCoriemc1zzna85lXyz38zMyWX5QI6vUC2WseeP69zKzgx9/iZrbdRCiIdX6iPta0Z5gpblJZ1WdVuOQNt+mIrWjP11nvEShOp51B9EgceZmqZ4ngqH0+vqcEIZDzslP4Ux/CUJC29PIgMNVw43atwSnrC/XusXraUTKR413Bi5OQpKBTVw4X1X9bP/RwAibE15UcI2fY19aPWc6/eSGr2edvY4nD35DLqy8xp2PHVJ44RBIG1Mcm4KOX82rh2qfbr5eXE4nv3OXE9lpQLsbQJyYLLKexrZIt1Iyfa3M4kupMr9WoYXFfNXFpxOHgxNX3qM73hLHK0OczaOAONqGV4jzGlkqUy4Wblho3ChuCUYDp7dja2OCYewaTwVCC5jUPNn963/d+0dONeuO5HhgNQu66vUeUoKWcPHWTf4cOISOjVuQMde/U2tkjlSnZaCgCdJha923d5EnFyM96B87nv1JGaI382tjiIgp5aQVu4WrsfAdZPjltbH5uMVhSZ6Fmj1PEybeo6YxlxjyNnoxh9V8OVds5IJFDvXCKWN9OJtJfTvs+/lpvnvNpzJPhHtkScY7xfN8wUZsx/+btSyVAZkUgk+Dr4miw8lZCn98prBNKzn+5O6fBoDE/Js7TKgoT4eCSCHocaNYwqR3HR6bSsX/YLYXGJWMmkjJ4wEVfPqmulKgpxUZGIqkz8evfnmZ7GV+zigs7jdGAqqRbeuE3eBJUgMPXmjQM0VscS33pUgeOWRCYgAybXKv3nPkcUUckgzN0MYUBDnnMzxOCEP5PO9Z2h1OtVB6n8X6Wqp3sjRKk1h+8ZFJ7qjK+DLxfjLhpbDBP/waTwVCDpD1xadk+xwiOTVQ6XVkpqKkpJ1UpJj7sXzerlv6ISoK6LMyMmT0Eur/6fpaTYGCSAshIUGkyLj0L25wgEmTl2k3YiVRon/fy/ZARuIsrSk6YNnuxCUesFQrNzeMbOCmUZZEPJpRKQSLD2saee278Bx97utnhPbJnPeBkOtk0JSjxf6r0rO34OfmwO3oxWr0Uhq/7f0apCsT71S5YsoVmzZtja2mJra0v79u3Zs2dPnjGnT5+me/fuWFlZYWtrS+fOncnOzn7imnq9nk8//ZQ6depgYWFB3bp1+fLLL4tdibcqYLLwgEwqA0pXh6csyMxWY12Fqg6fOrifX5YuRa3T069LJ0a9Me2pUHYATmzdCICFpXEVHk12FunLB2EtpCMbtQWlEdPP/4t5RjRxDg0KLHYol4BBvS+b757Zg71SdfpCRv5LS7f2ZKtCiM9OLxMZKiu+Dr7oRB130u4YWxQTj1AshcfT05MFCxZw8eJFLly4QPfu3Rk4cCA3btwADMpO37596d27N+fOneP8+fNMnTq1QF/xwoULWbJkCT/99BO3bt1i4cKFfPXVV/z444+lO7NKSLpai1QCVkqZsUUxGtIHFhVjx/DkCCJ2dsUvuFbR6LRaVv20iP3HT2EllTDltddo2z3/dgHVlay4ewA0bWe8hpKCXk/k0uF4aMJQ9V+KlXcLo8mSH1bqZLQWTgWOkUulmEklnEtT0fjENe6oSl6D5yFSQF0Ma+1Arw5IENgUfrrUe1dm6tkbYpdMcTyVi2IpPP379+fZZ5/F19cXPz8/5s6di7W1NWfOnAHgnXfe4c0332TGjBk0btyY+vXrM2zYMMwKuJM+deoUAwcO5LnnnsPb25sXX3wxV2GqbqRnG6osVyU3SlkjrQQxPOkpyYaU9EreUuJ+ZATfzptDeEIifq7OvPPpZ7h41DS2WBWOU70GAGz5boHRZAj94x3qpR4j4ZmPcGw1yGhyPAnbnGREq8LjcupbmQOQpNUzJDCsVJZ0tV5AANzNim5p7Orqiyhz4PC9syXe90mEhITQoUMH/Pz8aNOmTe6N+KMcOXIECwsL/P39cx8PPRCCIPDuu+/SqFEjmjVrRrdu3QgN/bcJaGRkJP3796d+/fo0atSowJtyG6UNHlYehKRWrjIKTzslduTq9Xo2bNhAVlYW7du3Jz4+nrNnz+Li4kKHDh1wdXWlS5cunDhxosB1OnTowMGDBwkONmjCV65c4cSJE/TrV3AtkZycHNLT0/M8Kjvp6qe7yjKAVFZxlZafxMOU9MrcJf3Qzu38unw5OVodz3frysuvTUUmezpD7oa++R5YWJGZkmyU/e/sXoTv3dVEew/F7dkPjSJDQQiCgIMmBamVc6Fj97WuT0TnZjzrbEdMjpYtcSnF2ksvCGyOTabRiWs0PXkdgLoW5kWeL5VKqWHXnDvJl4u1b1GYPHkykyZNIjg4mOnTpzN27Nh8x9WvX5/AwMDch4WFBQDbt2/n5MmTXLlyhatXr9KjRw8+/vhjwNAiY9CgQYwePZqgoCBu3rzJsGEFV/z2c/AzWXgqGcVWeK5du4a1tTVmZmZMmTKFrVu30qhRI+7cMfgqZ82axcSJE9m7dy8tW7akR48ehIQ8WcudMWMGw4cPp0GDBigUClq0aMHbb7/NyJEjC5Rj/vz52NnZ5T5qVeKL10PSsrXYPMUp6VDybullyf2oSABq16t8KemqjAx++XoBxy5cM7XgSAAAPrpJREFUwlYu5Y2pU2ndtbuxxTIqapUKUatBYW5R4XvHXNyD57nZxNi3oebopRW+f1FIzUxBKepQ2BTNYmkmk/JN/VpIgK/vxhY6Plat4ZPgaNqevkmto1d541YkyVo92YKAm1LBKx4Fu9L+SyvX1uRkhxGjSi3WvIKIj4/nwoULvPLKKwAMGTKEqKioPBaawpBIJOTk5KBWqxFFkfT0dDw9PQE4ePAgZmZmDB06NHe8q6trgev5Oph6alU2in31fagdp6WlsWnTJsaMGcPRo0dz79gnT57MuHHjAGjRogUHDx7kt99+Y/78/Dv3/vXXX6xdu5Z169bRuHFjAgMDefvtt/Hw8GDMmCcXo/roo4949913c5+np6dXeqUnPVv7VGdoQcX20noSCbGGLun2ToXfEVckN86fZdv27WglMvx9fRgwcnS16C1UWkKvXUWi09Jh8EsVum9qxHWsd0wgTVkTl8lbkUgrZ+xdalosjoBlERUeAEelnBdc7Nkan8of9xJ5pabhuyCKIpfSs9gan8rplExu/KfXlr+NBf2c7XnFwwknZclu3gZ5d2TfrW/46+5p3mpcNlXBo6KicHd3Ry43yCSRSPDy8iIyMpJ69fJWcQ4LC6Nly5bIZDLGjRvH668b2p/279+fw4cP4+bmho2NDTVr1uTo0aMA3Lx5kxo1ajB8+HCCgoLw9vbm22+/xcfnyY15fR18iVfFk5aThp1Z5Y8XfBoo9idWqVTmfoBatWrF+fPn+eGHH5gxw9CsrlGjRnnGN2zYkMjIyCeu98EHH+RaeQCaNm1KREQE8+fPL1DhMTMzKzA2qDKSVsYKT0hICGPGjCExMRE7OztWrVpF48aNHxu3YsUKFixYgCAIdO/encWLF6NQKDh06BAzZswgMzMTiUTCc889x4IFC8r1IiuRPgxaNp6FJyUtFbNKlJKu1Wj4a8UyQmLiUUqlvDx0KH5NmhpbrErB1VPHObbqFwBcH7SXqAiyUxPQrRmCVCrDasJ25BY2FbZ3cclMM1hprO2K17fph4Ze7ElMY0ZINPuT0rmWmU1cjpaHtyJyCTgr5Mgk8JGPO4NdHcoknb29sw/IHTl6/2yZKTxFpWXLlkRHR2NnZ0d0dDTPPvsszs7ODBs2jAsXLnD9+nXu3buHra0tM2bMYMqUKfzxxx/odDoOHTrEmTNnaNy4Mb/88kvunCfxaIuJNm5tKuoUTRRAqT+9giCQk5ODt7c3Hh4eBAUF5TkeHBxM7dpPLmGuUqkeu8DKZDKj12kpD8rawlMUn/Xdu3f59NNPOX78OKGhocTFxbFs2TIAHBwc2LBhAzdv3uTixYucOnWKNWvWlJl8+SGtBC6tzGw11uZFjzsoT8KDbvG/OV8QEpuAdw0n3v/4E5Oy8wBNjpoTmzZAjhq3Vu3wqCCFR6/NIWnZQGz0yehfWo+lS8XsW1KyM+IBsC+mwqOUSpnr64lOhP1J6WTq9DS3sWCalwuH29Qnuqs/1wOacKVjE4a7O5WJsgOG3wBXu+bcLcM4nlq1ahETE4NOZ6h1JooikZGReHl55Rlna2ubm53p6enJiBEjOH78OABr1qyhe/fu2NvbI5VKGTNmDIcPHwbAy8uLFi1a5N5Qjho1ikuXLqHVap8ok5etFwqpwhTHU4ko1if4o48+4tixY4SHh3Pt2jU++ugjjhw5wsiRI5FIJHzwwQcsWrSITZs2ERoayqeffsrt27cZP3587ho9evTgp59+yn3ev39/5s6dy65duwgPD2fr1q3873//Y9CgypcJUVrS1boyq8FTVJ/1pk2bGDBgAG5ubkgkEqZMmcL69esBg8vxoUnW3Nwcf39/wsPDy0S+JyGpBL20ckSwN3JKuiAI/P37alatXYcG6N+rJ2OnvYWyilkty4t969awaNxwsu9FUKdLL0Z++EmF7R356yg8VDdJ7vEdDvWNlwpfVLSZ8egkMqytHYs9d6SHEwda+RHaqSkhnZuxp3V9Ztb1oKF1+cZLtXFrg1Z9l4is4gVNPwkXFxdatmzJH3/8AcDmzZvx9PR8zJ0VExOT+9uTkZHBzp07adHCUGLAx8eHQ4cOodFoANi5cydNmjQBoF+/fkRHR3PvnqFEwu7du2nYsCEKxZN/zxVSBXXt65rieCoRxXJpxcfHM3r0aGJiYrCzs6NZs2bs27ePXr16AfD22/9v787joqr3/4G/zpkZhnWGHdlkUUFBBTRFxaslVzNzKdPKay59FS1Ty9vP0soWb2p1s2xzyUhbNEuUJK9orpXliuKKG4sgi+wwA8x6Pr8/BiZQdmbmzPJ5Ph48Yuac+Zz3+YTnvOdzPstLUCgUWLJkCcrLyxEVFYWDBw+iR48e+jIyMzNRWvr3irqfffYZVqxYgQULFqC4uBh+fn6YP38+3nzzTQOdovmQKdRwERum03J7n1nn5uY2aWELDg5u9hFjUVERkpKSsHfvXoPE1xKGaRiWzk/CU1lWCiIQwsuHvyHpxfl38P1Xm1FNGHi7OGHGvOfgInXlLR5zo1GrcemXXWBEIoxasAQxw0ea7Ng5Py5HSPEB3O73EoL+8YzJjtsVnLwElSJXeHayj1E/ielni54cHIe9Vz7AT1l/YWm/Rw1S5qZNmzB79mysXr0aEokEW7ZsAQDMnTsXEydOxMSJE7Fr1y5s2LABQqEQGo0GU6dO1fc5feGFF5CRkYGoqCiIRCJ069YNGzfqHqc6OTlh48aNePTRR0GIbg6vHTt2tBlTL9dedGi6GenQ3TcxMbHNfZYtW6bvz9Oce1sQXFxcsG7dOqxbt64joVikaoUGzmY4Squ6uhoTJkzAK6+8ggceeMCox2IYfvvw5N7SNS/7BXZtpejOOvbLz/j99FkQhsGDQ2Lx4LjxvMRhzrKuXgbDaeEZFmXSZCf/6NfonrEBOb7jEfzEOyY7blextSWoFrvDvLrgt+4BjxAwQg/8UXjaYAlPeHg4Tpy4f0LDr776Sv/7woULsXDhwmY/LxaLsXnz5hbLHzNmDMaM6dhabmFuYTiUewgc4cAydAAC38zv7mullBotVBoOLgaah6fxM2uhUNjiM+vu3bsjMzNT/zonJ6fJPjKZDGPHjsWkSZOajHozJgL+lpYoyM0DAASFhZn0uPKqSny34QvcVaghsRNhxtwEePmaz9IE5uTKyT8BAH3/YboFJksvH4Pnb6+iwLkfus/ZarLjGoKotgy1Dh1/nMUnhmHg6xqN7JLfkZRzBlOCrbNTby+3XqjT1CFfno9AF/MeRWwLaMppIvL6hUMNNQ9Pe59ZP/HEE0hJSUFRUREIIdi4caN+RJxcLsfYsWMxduxYvPGG6fpIEDC8zbRcUnwXjFYDiaubyY55/vhvWPff/+JurRIxYT3x0usraLLTilFTpwEAzh9MbWNPw5AV3IB41wxUCz3h/VwKWAtbo8yhrgzKNpaVMEdLoueAZe3xzm//h6HJc/B91iloufavy2UJGo/UovhHW3hMRGbghAdo3zPr0NBQvPPOO4iL03W+fPDBBzF//nwAwCeffILTp0+jpqYGu3fvBgBMnToVr7/+usFibI4u4eHnwlZRVQV71jTD0VUKBX74cgOyyyphLxRg+rR/ISS8t0mObYk4jsNHM6eCUSsBANV3C4x+TJW8AoqvH4M9COyf/Rl2zqZLhA3FWVmOUu++fIfRYWP9+2HUk79g9cVdSM7YhPf/mIv3/5LCxzUGsb5DMTk4DgM9+Hn0bCieDp5wFbviZsVNxHeP5zscm0cTHhNpSHgMubREe55ZA0BCQgISEhLu2+/11183enLTHMIwvPXhqVEoIXE0fifNzMsX8dOPP0LJCtHT1xtPz5kHYSsjOijg6tnT+mQHAGa9u9aox+M0ahRvnARvTTGqnvgJXv7hRj2eMRBC4KqqQKlz2+tomSM7gRBvxzyF1/o/jm8zTyA193dklZ1ByuVjSLkMMCJv+Ej7IcK9DxZETES41JfvkDuEYRi6xIQZoQmPicgUuvkabH1pCaChhcf0o7Q4joMKDNxcjTckneM4pHy3Fem3siFkWDz+6DhEDY412vGsyeGvdSNinly9Dr7du0MosjPq8W4nzkaQ/CIKR66Ffz/LXL6jVq2Cu7oKQmfzXgi3LXYCO8wNG4m5YbpO6tmyEiTlnMDxwtPIrbiEw6W/4VjOHhx5/Cd42DvzHG3H9HLrhT/z/+Q7DAq0D4/JVOsfadFv+YRhwBHTJzzlJcUgrADe3To2QVt7VZSV4tNV/0F6di58XF2w5JVXabLTAZxW928kPyvT6MlOzq63EVK4F7l9noP/Q3Pa/oCZKq+6CwCw78CyEpYgxMULS/tNxJ4x7+L8U3vw6ZjvoVUX4V9HVvIdWoeFuYUhV5YLhUbR9s6UUdGEx0QaWnicDTQPj2VjAB46Lec1rJLe3fD9Aq6kncHn69ahSqXGPwZE4fmXX4GTs2V9E+Xb/I82AABOJG036nEK//wB3S+tQ473aAQ/2fwaf5aiuj7hcZC0vpClpRvlG4lxvRejoCQV715I5jucDunl2gsc4ZBZldn2zpRR0YTHRORKDcRCFnZCWuWEYXl5pFVwp35Iek/DDknfn/Qjdu75BQIGeHbmTMRPNP0s4Tdv3sSwYcMQFhaGQYMG4cqVK83ul5iYiF69eqFHjx5ISEjQT41/5MgRDB48GBEREYiMjMQrr7yin5E2OzsbAwcORHR0NPr27YupU6eiosIwM+Q2qJXLcPPSBRAArBE7lVfePAW3gy+i0KE3AhO2AWaynlpn1VbrEh6J1LoTHgB474GZ8HAbhh0X38Pp0hy+w2m3Hq49wIDBjXLaj4dv9O5rIjKFhj7OqsdXH57S4hKwWg2cJBKDlKfRqJG4bi1OXs6Ap4MdXnp1Gbr3Mu38Pg2Mua6an58fjh8/jvT0dFy+fBl+fn54++23DRZ7zvUMbJgzDYc+eQ8CFymeecs4rS7yuznAD09BLnCF+/wUCESWv4yHSt65dbQsEcuy2Bb/HljWEc8fXYpajYrvkNrFUeSIMLcwnL3b8kKjlGnQhMdEZAo1JLTDsg7DgPDQh6eyuhr2AsP8yVeUlODjVe8ir6IakYH+WPDqa3B04ucRlrHXVROLxXBw0K2tpNVqUVNTY7CV5lVKJXav/nsZmbhps+HRzfAjcRSVxajb/AhERAXRrN1wcLWOPi8aeSlqWXsIxLbx+NTfyQ2vDVsFZe0NPPu7cUfxGdIwv2E4UXCC10WTKZrwmIyuhYcmPED9sHQeWnhqlEq4OHZ9UcRr6efx+aefoFajxdgRwzF1ToJ+FXg+tLauWmMdXVdt/Pi/l71QqVSIjo6Gp6cnbt68iXfeMczSC2nHDoMo6tBv0lP4945fMDh+tEHKbUxTJ0PVhrFw1pRBMfUHSLtb3pw1LaopQaXY8uYO6oqnQ4ZhcMgsXMn7AZtvHOM7nHYZ4jcEJXUluFV5q+2dKaOhCY+J0EdafyMw/Tw8+iHpbl27ORzek4wdu5MhAMHsmTMxxAg3aD61tK6anZ0d0tPTcffuXfTu3RubNm0yyPG8/QMAAFVlJQZrNWqMUytR/MU4uClvo3LcZnhEmG5tLlMQ1pZCLrasZSUMYVPcYjg5ReLT02/ilqyY73DaNMB7AOxYO5wouH/eNMp0aMJjItUKNW3hacBDp+XignyAFcCnk49LtBoNvvn8U/xx/gLc7IR48ZVXEcRTf517NV5XDUCr66rdvn1b/7oz66rZ2dnh2WefxXfffWeQ2J3rV4nPv3zBIOU1xmnUyP9iInzkl1E0ci18B0/qVDnt6RCek5ODBx98EFKpFNHR0U22tdYhvKvs6spQZ4HLSnSVSCDE1/EfghA1Zh5aBi0PLcYdYS+0x0Cfgfir8C++Q7FpNOExEblSQ4ek1zNJC8+dNKA8S/8yL1PXlHz89BkcSt4FRV1du4uqKi/DujWrkF1ShvBuXli0/HU4uRim47MhGHtdtdu3b6O2thaArqVs586d6N+/v0Fiz7x8EQDg5GnYPjWcVovcjU/Cv/IU7gxZie4Pze50We3pEC6RSPDuu+9i+/b7h9S31iG8q5wUZVA5WNI66YYT6eaP+QNXQFZ9BgtPtrzKubkY6jcUaUVpUGkto7O1NaIJj4nQR1qNMAzQSqflrg6xRnEGEhcM120L8kdCQgLEDo5gOC3SLlzAM8+/gOCQEPQICYanpycmT57cYiy3rlzGZ+vWQa5SI37IYEx77gWwAkGXTt8YNm3ahE2bNiEsLAzvvfdek3XVUlJSAKDJumo9e/aEl5fXfeuq7d69G9HR0YiOjsaqVasAABcvXsSQIUPQv39/9O/fHyUlJfj000+7HLNWq8WJrbrZlXsPHtrl8hoQjkPOl9MRXHoEd2KWImjsok6X1d4O4e7u7hg+fDicnJzuK6O1DuFd5aIsh9bR9lp4GiyKGIeevo/hj5sbkZx7ju9wWjXUbygUWgXSi9P5DsVm0SYHE5HRR1p6bc3D0/CNevbs2UhKSsLs2bNx5syZJvtk37yOFctexrkDP8LHQYNJjz+OLxPO4oVp45B96SRWHFXi3Hwn+MTPwKQNV/HHmbN4a+V/oFGrcfroYfzx11+oA4v169fDkWWQ+uN2xD/2BER2dvq+JL+l/g9HT5yCiOMwY/q/ENon0qj10hXGXFdtwoQJmDBhgmECbST1m0T970PHGaZ8wnG4velphN49gNy+i9F9UtfWimutQ/i9LWjt0dAhfO/evV2KC9A9unRTVaDAwpeV6KrvHnodI3ZfxIpjc7HeYyQmhDyMeeGjYC8w7mzdHRXmFgZ3e3f8VfAXBvsO5jscm0TvwCZCR2npFJdUQKyshoOk+fWsGr5R//rrrwB036gXLlyIW7duNbnBJG14FxODatEt5UkAwHMDhVh95BJeCM5C0p9KTBwUhG7O5UD0NDz3XD5Wr16NF154AUKRCMPGjEXEA4Owfu2HUNTVITQsDKcybuBUhm7+FwGngberKwqr5ZAKGcxZ+DIk7rbXMdSQqmsqkV1wHWqiQbGiBN72njh/7lc4gCBh43cGWViV02qQt3EqgkuOIKffSwh+wjAjyQylpQ7hnS6vTgaptg5CC1041FCcRfbYM34L3kr7BmfzfsHmM4eQVjwT3zy4lO/QmmAZFsP9h+Nw7mG8OOBFo3TSp1pH78AmoOUIalVamvAA+Gn7LrCEw2NTm+9A2q5v1LcOI/f4jwiSssCMZCD3JIIfGYrc32cAz+1HbukGBN09otvXNwrBFaL7hl+7unsgp6QMCfPm4e13V+HmpQtITUlBlUIJrcgOhdVyhHhI8cyCRRAI6P+39rh58yZmzZqF0tJSSKVSbN26FT3De+DzvauxozQFCpEWAFD+WzlK95WCcAQBgW540dkFgK7j7+zZs3H+/HmEhIQgPT293cfmtFrkrX8C3cuOISf6FQQ/1rWWnQaNO4QLhcIWO4S3pT0dwjuqqqoYUgD2ztY/y3JbAp3c8fWIJeC4FzE0eRZuVFzlO6RmjQ0ei5TMFFyvuI7e7r35Dsfm0D48JlCn1l3oHe1s+8ap1mhQfvYIlIH90D2gCzPDXqt/HNDjIaDHKOCh1wAXH4BhgW59df9V1QKu3YHS5ue9qKmpwY4dOzBnzhywLIvwqBg8+eRUuOZeg2N2BqL9vTFr0RKa7HTAvZ17n5kxHQ9sG4StVcnoixCsDnsNLzg9C9meaoQsD0HYB2GoUzPYuFHXj6e1jr9tyf5uEYLKjiF3wHKDJTtA+zuEt6a1DuFdIasqAgA4dXFZifb0mTtx4oS+b1dkZCTmz58PpVIJoPURahzH4d///jciIiLQv39/PPTQQ/f1fzIklmXRy70vZLIryJSVGu04nTXEbwhcxa7Yl72P71BsEk14TKBWqRsu7CQ2v86upvTznoNwUlXjoclPNHm/8QV3zpw5yM/Pb3aItb6T8gs/4XS+FtkVun5AOTk5eOqpp1BQUIDo6Gh093bF7fxCoDIXx9bOQnR0NMrKyvQX7Lq6OuzcuRORkZGIiIgAAKTt24Mf3noVWo0Gk+YvxGMJC0xbORauuc6917OuQ3lXCR+FC7bMTcaEodMgy9biX1OnY1rPaWAYBuJ/2mPZZ8vw+ZHPW+3425rbhzYjNGcbbodMQ9DEZQY/t/Z0CK+trUVAQACmTp2Kq1evIiAgAMuXLwfQeofwrqiT1a+jJelaH572jEKLiorCmTNnkJ6ejkuXLqG4uBjr16+vP37LiWpKSgr+/PNPXLhwARcvXkR8fDxee+21LsXblrcGzAbA4d8nvzDqcTpDxIowOmg09mfvp7Mu84AmPCZQo6ItPABw+eBeVEv8MXzYgCbvN77gvvHGG2AY5r5v1AKB4O91oHLuwFkswI+pv6OoqAguLi6QSqWYO3cuAOCJJyYjJUuEIjkDwrBwcHDA+++/j/T0dKSnp8PBwQGJiYmYM2cOOI7Dng/fxbFvNkPs6IRZa9cjfNg/TF43lq65R5EObmLgrhZ7Zx/S79cw2/P8uPkAAUSeIqjL1Pj59s+dOm7JtZPwPv46Cl2i0H2GcW5wDR3Cb9y4gbNnz6Jfv34AdB3CJ06cCABwdHTEnTt3UFJSApVKhTt37mDNGl2fsNdffx1qtVr/95eent5iB/GOUMlLAACu0s4nPO0dhebo6AhRfT8rlUqFuro6fR+U1hJVhmGgVCqhUChACEF1dTUCAgI6HW979JL6YFDQ08gsSMbevDSjHqszHgl5BIU1hbhQYvi5p6jW0YTHBGoaWnhsOOE5lXYZkorbCB/1SJP3m7vgisVifPLJJ02+USclJUEqleL06dNgGAYvP+gBL0eCuLg4DB48GOHh4ZgyZQoAIDQiBu+8vw5x32nwzIYzEAqF+uHXAHD9+nWkp6djwiNjkbg4AbfOnIRPaE/M3/gNPPyMezG2JY4CR6iFHL47uv6+bd1cu+HCzAuIdYwFAPST9utw+TXFORD99DQUAgk8E3aBYW2rBZWTF6NK6AJW2PlFUNu7LAmga0mNioqCp6cnpFIpFixouxV0woQJePDBB9GtWzf4+vri8OHDWLlyZafjba/Phi2C0D4Ybxx/DSqtxujH64gB3gPg7eCN1OxUvkOxOTThMYHahhYeG36kdXBnEuqETpg8eVyT95u74IaGhmLt2rVNvlHn5uZi5syZ+m/Uwf2GQqXmkJmZiczMTCQmJurLAHTDrzNXDsC2SQKoVCrExsZi0KBBWL9+PcLDw5Fx6gR2vLoY1SV3ET12PJ5Zsw4iO8tfPZsvzc32XFelhMhDBLtGw4Mbz/bMsizSstMg8hBh9aOrO3Q8lawctZvHQUjUEMxMhp3EBkcq1ZSi0oTLSgQHB+PChQsoKiqCUqnE7t272/zM2bNncfnyZeTn56OgoADx8fF47rnnjB6rs0iMBTEvQqsqwKEi8+rALGAFeDjkYRzIOQANZ17JmLWjCY8J1Khsu4Wn4G4ZRDnn4RIzEvZiA82NETAQ4DRAc9/eTm0Ctj8NCB0wINQbd/LycO7cOSQnJ2Pjxo14Z/EC/PjOMnCcFuNfWob4Z41/AbZ2zXXulbo5Q+wjRnRIrH6/xrM9bz2+Ffm/50MaK4WDuP2LumpVdSjb8Ahc1CWonfwdJEEdbx2yBqLaUtTYdy3hae+yJI05Ozvj6aefxrZt29os/9tvv8WoUaPg6uoKlmUxa9YsHD16tEsxt9eUoMEgYHA43wwfawU/gjJFGc7ePct3KDaFJjwmUKu07Raendt2AgCmTp9637ZOrwNVpkB3KQsoq5sWSLRA6ivAjVQg7yQkfUdD6uoKAPDt5oNgMYODqftg5+CAZz/eiPChww14prbt3s69jy0YCwD44J11zc72PG/yPAhcBPjHaF2fqdY6/jYgnBYFGx6HV+1NlI3+DN79Rpn2JM2IWFGGOvuuzbLc3lFot27d0s9krlKpkJyc3K7lRUJDQ3HkyBGoVLrlFPbu3Yu+fU2zWv3VygIwIPB1NL/Wv76efRHgHEAfa5kasRJVVVUEAKmqquI7lPv8eCaXBL26l6g1Wr5DMTmFUkVWTn+K/OeVN1vcZ+TIkWTLli2EEEJ27txJBg4ceN8+mZmZxNfXlxQWFhKO48iE+GHks0fsCSm9pdtBVUeOpu4hUT4sIW9JCLl5kJCqAlKQfYNotVpSXpBP1s6YQoI93Mi0oQOIWq00xulSjWTfySAxX/Uj0V/1I8M2DSQPfBlFTlw4pN++KnUV6bu1L+m/pT+prKlsV5k5m2cS7i0Jyfnfx0aK2nLcWPsAOfF9QpfLuXbtGhkyZAjp1asXGThwILl48SIhhJA5c+aQPXv2EEII2bRpE4mMjCT9+/cnERERZNGiRaSuro4QQkhNTQ3x9/cnnp6eRCQSEX9/f7Js2TJCCCEKhYLMnTuX9O7dm/Tr14+MHj2aZGZmdjnm5mi1WnK6JJPE//ICidwaRfpu7Uv6bu1LimurjXK8rvr47Mdk+A/DiZazvfvCvUx1/7bNZywmVqvUQCxkIRTYXoPa7uT9cFTLMXzKEy3us2nTJsyePRurV6+GRCJpMux34sSJmDhxYpOWAQB4MDYK83uIgJ9mobbXRIRNXgalFqhSEAR8JMMMxSGsee+f2PXt51i39kPUVpSDIwTjx47F5h0/0VlOTSDYvzfWx67D4Yx9yKi8jgt2OUi+shND+scDAF4b+xqub7+Oc+pz+ObEN1gcv7jV8m7/uAxBd35GVvh8hI57yQRnYN4kynKUGKD1oj3LksybNw/z5s1r9vMNI9SaIxaLsXmz8Rf2nHd8PU7c3gVoikFYR9g5hMJZ7Imebn3g5eBi9ON3Rpx/HBIvJ+JGxQ06CaGJ0ITHBGpUWjjZ6Erp1w7/D3DtjthBLTd/d2odKEKAvUuA89/B8e4l3NkwBfDuDfz5CTB4HjDuPQDAP8J7QDn47yb0kOhIHN36JUbO+D8IhHQxV2Mb0ncU5DWV+F/5UTAEeGrgjCbbx/caj4xLGdhxewcWo+WE587+TxCUsQFZfpMQ8vT7xg7b7HEcB3dVBbJtfFmJixV5+OTyzzid9SU83YZhfOi/8XhQLEJdzH8F+f5e/SEWiHGq8BRNeEzENu/CJlar0sDRzvb67xw/eR6SqjsInPq84QtnGGDCOmDEUqA6H/AfCLAC4J9N109y8Wx64ctO13USVMhlGLfo/xk+LqqJn35PxH+y1wH2wNahGzEgLK7J9sdjHsemS5sgaGVIedGJH+F78m3cdh2K4DlbaOscgGp5OVyJFiIbTXjePLcD+zJ3QVl7DQRCuLvG4acx/4WXvXm25jRHLBAj2jsap4tOY1bkLL7DsQm294yFBzVKrU2O0Dqyazdq7Vzw+KSHjXcQqT8QOFiX7AC6RKjRDTE0ZhBe2v4z4p6aialvroKrjy8AoDDzhvFiovSG9YlHYJ0bAGDN0XewMfUD5BZl6rdvP70ddwV3sXhA8607ZVeOwu3AQhQ5hMH/+WSwAtv74tCcqvplJexdbHMdrd2X14IjGkzs+xr2TzmC3ydttKhkp0Fst1icLToLNafmOxSbQBMeE6hVaWxuhNbt/Luwz70At4EPQSTiN9kTCIQYMvlJdI+MwuyPdJPgVRYW4NtXWu8zQnVdgFcw/jf/N7zoMxulqMIXxd9hQurjeGf7YqjVSmSW1yc/2vs/W337EsRJz6BK6A2P5/dB2IGh69ZOXq1bVsJJYpsJD6BFXOAjWDVwGgKc3PgOptNifWNRq6nFldL71y+jDI8mPCZQq7K9Fp5d25JAGBZT/zWF71CaEAhFiJ/zPFiBACW3s7B9xVJs/X8LUFtdBY7j8PN/30XSqhX49pVFOLDxE6R+8RHqZDK+w7ZoDMNg7tiXcWz+Kfw6bi8eEg5AkvooHt88Bo+HPwInzglfXvyyyWdqS/Og/fYxaBg7OCbshb2ka8OvrY2ifh0tV9cuLMJryQgBA8t/tBnhoVvL7+O0j3mOxDbY1l2YJ7UqLRxsqA9PnUKJmgu/QxA6AD7eppsJtr2ixzyK7v2iseWl+Si8kQEA2JAw/b79Sm5nAwAy/jiK+Zu+hZPUcr9JmgtfryCsm7EV+9KSsPLcasw99hyEQjuUc+X6fVTyCsi/HAcnbR1UM/fC2SeEx4jNk1pWAjUjgMTZ/P59mQYBy1r+93Uhq7sFnys+x3MktsHy/2IsgFypgZMNJTxJu/bBUVODsU+ZV+tOY+6+/vjHv2a3uN21mx+EdnZgBQIQQrBx3gxse/3fqCjIN12QVmzcwCnYM2UvejB+qGHrUMlWYufuzVDW1aBkw3i4qgpR89hWuIUOaLswG8TVlKBC5ArWxtYP+xsBawUtPACw9IGlEDJC1Khr+A7F6tEWHhOoUWrgbG8bVU0Iwa2jqWDcQzAgKoLvcFo1eNIUDJ6kS8ruZt+CQGQHO3tHSBqN7OI4DjveXIrCm9dRdOsGvl4yH/+37ku4+frxFbbV8HHzww//txf//fkN/Hx3Hy4fS0KPPz5BjCQPBfGfwz96DN8hmi2mphTVYnd0fp10S0esZrTeQ90fwn/P/hcnC08ivns83+FYNdrCYwJypcZm5uE5dvwsJLICRD08nu9QOsQnpCc8A7o3SXYA3QKX/3p3LV7YskP/3tcvzUPKR2tMHaJVYlkWr05ejT/nn8PkOa/BS1yDCrjDf8SMtj9sw0R1ZV1eR8tSEULAgEBgJbevQJdAhEpDcST3CN+hWD3r+IsxczVKDVxsJOH5/edk1IilmDDeur6p2Ds6Y0Hi30lP2Z1cHqOxPizLImr4SDA+kWDoCtJtsq8rg8LBNjtyc4QDADBW0IenwZjgMTiSewQqrYrvUKya9fzFmDGZwjZaeDJv58PhzmV4D46HUGh95+vg7IxF3yQBAMrz85D8wUpoNXT+DINyDYILI0dto7l6qPs5K8ugcTT/2YSNQUsIAFjFKK0GY4LGQK6W40TB/TPOU4ZDEx4jU2s5KDUcnG0g4dm9bSc4RoCp01teN8vS2dnb63/PSjuNXWve4jEa6+M+7hUIWQ4VqWv5DsWsSZUVIGa4CrgpaOpbeFgrun31dO2JUGkofr39K9+hWDXr+YsxUzVKXfO8tSc88hoFVJf/BMIGwcNNync4RuXbKxyhAwcDAPKuXAKp/8ZJdZ3s+nEAAOMayHMk5ovTquGmrgJro8tKaOsTHgFrPS08DMPQx1omQBMeI5M3JDxWPkprx48psNfWYcLTT/IditH96921GPXsfN0LmuwYhKZOjqxPp8HnyAJUaRzhPXo+3yGZrcqqYgCAnYttjtHScvV9eKzs9jUqcBTkajkulFzgOxSrZV1/MWaoIeGx5j48HMch94/9qPHqgciInnyHYxISz79vNlXFd3mMxPKVn98P9ZpQhJbvAwCoxn0Goc1OqNe26vp1tBxstIWHg+5LBmslw9Ib9HLrBXuBPa6WXeU7FKtFEx4js4VHWvsPn4C0thiDHn2M71BMhmEYSLx06xh9v+xFnqOxbNVXfoMDq0R+yCxUP70PXsPMd8JKc1BTv46Ws9Q2W3gIiP43ayJkhejt3htXyui6WsbSoYRnw4YN6N+/PyQSCSQSCYYOHYrU1NQm+5w4cQKjRo2Ck5MTJBIJRowYgbq6ulbLzc/PxzPPPAMPDw84ODigX79+OHv2bMfPxgzJlbpVEa054Tn5y8+ocXDHw2NG8B2KSQ2dMg0AoKyr5TkSyxYw9S1UaCRAwXlIesfxHY7ZU8hLAACuNrpwqJgVAQDUXDMrzlq4SM9I2sJjRB1KeAICAvDee+8hLS0NZ8+exahRozBp0iRcuaLLSE+cOIGxY8dizJgxOH36NM6cOYOFCxe2uuZJRUUF4uLiIBKJkJqaiqtXr2Lt2rVwc7OOdYvkCut+pHX5ejZc7l5DQNwYsAIbm+a+Uf+drPNpPAZi2YR2YoBlwcHG/n46SS0vgYKxg8TRugcHtMRBUJ/waK1vSohIj0jcrr6NalU136FYpQ7dhSdMmNDk9apVq7BhwwacPHkSkZGRWLJkCRYvXoxly5bp9wkPD2+1zPfffx+BgYHYsmWL/r2QEOtZLNDaH2ml/LATDCvClKcf4zsUk/ML66P7hRCkrF2Fl77fzW9AFqr0zx3wZCtR1+8xvkOxCKSmFJV2ruhmRRPvdYSAZUHAQk2sb4LKSI9IAEBGWQZifWN5jsb6dPpfjFarxY4dO1BTU4OhQ4eiuLgYp06dgre3N4YNGwYfHx+MHDkSx48fb7WclJQUPPDAA5g6dSq8vb0RExODzZs3t3l8pVKJ6urqJj/mSKbUwEEksKohlA1KK2XA9VOwixwGiYsz3+GYnLt/AOZv/BYAoFWrkPrFRzxHZJnqTn2PWq0dfB9ZxHcoFoGpLYNMbB0t4J3GCKC2whm5gyRBcBQ60n48RtLhhOfSpUtwdnaGWCzGc889h+TkZERERCArKwsA8PbbbyMhIQH79+/HgAEDEB8fj5s3b7ZYXlZWFjZs2IBevXrhwIEDeP7557F48WJ88803rcaxZs0aSKVS/U9goHnO22HNC4f+uH03RJwKj09/iu9QeOPs5o4Rz/wfACD/Gr1IdQbr0wf2rAoqeSXfoVgEUV0Zau1tPOGBABqt9SU8AlaAPh59cKWUXkuMocMJT3h4ONLT03Hq1Ck8//zzmDVrFq5evQqufm6E+fPn49lnn0VMTAw+/vhjhIeH4+uvv26xPI7jMGDAAKxevRoxMTGYN28eEhISsHHjxlbjWL58OaqqqvQ/eXl5HT0Vk5ArNVb5OEuj0aLk5GEo/PogNMQ8k01T6TlQ1/SsVip5jsQy2QUPAssAtdm0H1R72CvKobS3zXW09BgBNFb4SAvQPdaiLTzG0eGEx87ODj179sTAgQOxZs0aREVF4ZNPPoGvry8AICIiosn+ffr0QW5uywst+vr6dvgzACAWi/WjxRp+zJG1JjzJe4/CRVmOEY9N5jsU3okcdMtN1FZV8huIhbKT6uaTUcnKeY7EMjgpKqBxtPF5ihgBNFb4SAvQJTz58nxUKir5DsXqdLnXG8dxUCqVCA4Ohp+fH65fv95k+40bNxAUFNTi5+Pi4jr8GUsiV2jgJLa+0ScXD6RA7uyDESNoxzpnNxv/tt1F2vrBbtbYz80YHNVyELEr32HwRsNpAU4FO4GY71CMItJT13GZDk83vA4lPMuXL8fvv/+OnJwcXLp0CcuXL8exY8cwffp0MAyDpUuX4tNPP0VSUhJu3bqFFStW4Nq1a5gzZ46+jPj4eHz++ef610uWLMHJkyexevVq3Lp1C9u3b8eXX36JF154wXBnyaMapQbOYhHfYRjUqfMZcC3PQq+HxoGxstlOO43WQ6cJ7HQtZJxawXMklsFRWwPG3oXvMHiTX1sBhigQ7OLPdyhGEegSCBeRC32sZQQdetZSXFyMmTNnorCwEFKpFP3798eBAwcwevRoAMBLL70EhUKBJUuWoLy8HFFRUTh48CB69OihLyMzMxOlpaX614MGDUJycjKWL1+OlStXIiQkBOvWrcP06dMNdIr8kik18JPat72jBTmwMwkCoSMmTxnPdyhmgdNqwbIsOK31TYRmbPk7Xoe2+BqkAFBLH2m1heO0cNbWgRXbbsKjqZ9wUCSw4zkS42AZFhEeETThMYIOJTyJiYlt7rNs2bIm8/DcKycn5773xo8fj/HjrfPmaW2jtPLvlsEuKw2OA+Nhb2+dTcodtWv1m+C0WniH9Gh7Z0qv9m42/K/pWnsrtS5wGfg4zxGZv9q6ajgDEIhtbxqIBlz9I1BrblON8IxAanZq2ztSHWKbM1eZkFypsapZln/atgss4TDlGetfFb29qkt1q1c/+uIrPEdiOTS1Mmg+HwYAqNBKIH37Nhx8gvkNygLU1OnmGxPZ2+Ysy0DjRUM5XuMwpkiPSBTVFKG0rrTtnal2owmPkdUoNXCxkoSnTqmC7NxRaIKj4Odrm+v4NCcwMgoAUJKdxXMklqP0ZDIkglrk95wH9pmdYGxtWZJOkst0N0B7J9udh0fA6v5WCLGuxUMba5hxmXZcNiya8BhZqVwFBzvrSHiSdh+Ak1qGMVPpataNefgHAADO7KVLS7SXRikDALiPnAlp+BCeo7EcsvI7AABXd9ud+0rA6G5bGitcPLSBv7M/pGIp7cdjYDThMSKFWvcP8tcrRTxH0nWEENw4sg9y10A88EAU3+GYld5xIwEAdzObziiuUVvf4oYGc/V/AACBizfPgVgWRVU+ODDwcLPOEUrtIapfQ4yD9bbwMAyD3u69ca3sGt+hWBWa8BiRrH6l9NERlv/459hf5+FanYd+D09oe2cb4+TqBqa+mT3/egYA4MiWjfjkmcex9qnxOJH0A5/hmSWVog4AULZ+EuQZv/EcjeXgqgtQbucGkcg6Ryi1h5DR/VvTEuvtwwMAPV17IquKPiY3JOt41mKmGlp4enczz1mgO+JY8m4I7VwwccIYvkMxS/1GjcbFQ/ux482l9237a+c2eAR0B8MAvWLjeIjO/IS8dgR3vlkEv+zvwP44EerwSRB59QBYYf2PoNHvzb1uaR8B9ON39J1bjfUaHdy/668dKjJRZu+FqtqW5yxi2hi/1NrW1qaT6uyoqNaP1/LWlrZUq3VfJOXKChTVGLf1vKW6bD3u5rdxhAMBgZZodb8T3e8N/228nRACISNEniwPaq0aIoF1zeXGF5rwGFFDC4+LhQ9Lv3W7AE55FyEZPgFCkWWfi7HEP/scCq5noDTvtv49qY8vqovvghAOv3y8BgDQvW8UAiP7Ycjkpw12bMJxqJNVo6aqEiI7MaQ+3cx+QkiGYRAw+3Ok/xQJn7R34VNwBii+AGg1ANfwowY4rulrGxcDYK/nSMw9ZcOPOogGnhAg9dqnSL32Kd/RGJ1MLYO7wMaXEjEQevcyIplCd4G+XiSDQq2FlhDd9ZuQ+t8JOAJoOVKf5ZP633XvaUn9+xwa/a77DFe/nasvR1tfLtd4n4ZtjY9VXw5XXyZHdMfjGh27cRmEEIiuHEUvcHC5ewO717zV9CTvubG260bbrs/cu0/r25st576XzRznvs/cc9xmImspfs/uwdCq1XB0c0NlUSG8Q3pA6u2D3Evp+n1zL19A7uULyLlwHo5SKVhWAFYo1P1XwIIVCMCwArCCe37q32NYFlqNGhWFBagozIesrBS1VZUg3N/N+y4eXujetz88AoMgshNDaGcHMAwIx4FwnG6hX0OOcGEYMAwDhmUA6P7LgAFT39eCYVldHTXsV/8DhkHmrUIczonBv9ekAGw7nrA3SYAafrRNXwNAQ/+Oe89T//re7aZ6jQ7u3/S1TKOBj2Mwkh1avgG29b+WtNH3xRB/GW3H0LXtRaFb4CushbCV603b59nG9hZOoq3PtVQWy7BgGd2/BQEj0L9mGRYM/n6vYTvDMJDYSeBuT5MdQ6EJjxEJBbp/jK/sutilchhGN/eEgGHAso1/Z8AyujWIWEb3I2Cb30e/7d73GEZffsPndD/15bIMHHyD4GgfAxdXB31M918Mmr6+/1px73Zy/++tXCVJc8e853Wzn753nzauxG0do7mjNN7F2cMTIATuvv5QVFcBAAIi+kIhl6M0N0e/H8MwUCsU4LRacJwWnJYD0Wqh1WpAtFpwHPf3Nk3DPloQrRaMQADXbr7w8O+OkOiBcHJ1g6OrG5ykbqiTVSPvygXkXr6Im6f/gkalajoDNMOAZVkYbto2XQINApAu9KlQ1Mjh4NKOR78sC7B2AGyzD4sLgEF8B2EO3GP4joCyQAyxkskMqqurIZVKUVVVZVYrp98uq4Fay92TkNQnFPrk455khm2adJj74wnKvGk1ulYPlmX1rS7Gokt+dElQw4/uNdfiNoFIBDt7h7YLpyjKKpnq/k1beIwsyMOJ7xAoGycQmu6fuf7RlcmOSFEU1T50WDpFURRFUVaPJjwURVEURVk9mvBQFEVRFGX1aMJDURRFUZTVowkPRVEURVFWjyY8FEVRFEVZPZrwUBRFURRl9WjCQ1EURVGU1aMJD0VRFEVRVo8mPBRFURRFWT2a8FAURVEUZfVowkNRFEVRlNWjCQ9FURRFUVbPalZLJ4QA0C0zT1EURVGUZWi4bzfcx43FahIemUwGAAgMDOQ5EoqiKIqiOkomk0EqlRqtfIYYO6UyEY7jUFBQABcXFzAMw3c47VZdXY3AwEDk5eVBIpHwHY5VonVsfLSOjYvWr/HROja+luqYEAKZTAY/Pz+wrPF62lhNCw/LsggICOA7jE6TSCT0H5mR0To2PlrHxkXr1/hoHRtfc3VszJadBrTTMkVRFEVRVo8mPBRFURRFWT2a8PBMLBbjrbfeglgs5jsUq0Xr2PhoHRsXrV/jo3VsfHzXsdV0WqYoiqIoimoJbeGhKIqiKMrq0YSHoiiKoiirRxMeiqIoiqKsHk14KIqiKIqyejThMaJjx46BYZhmf86cOaPf78CBAxgyZAhcXFzg5eWFJ554Ajk5Oa2WXV5ejunTp0MikcDV1RVz5syBXC438hmZn/bU8dtvv93sdicnp1bLbu4zO3bsMMVpmRVj1nFubi4effRRODo6wtvbG0uXLoVGozHFaZmV9l4rCCH48MMPERYWBrFYDH9/f6xatarVsoODg+8r87333jP2KZkdY9YxvR7rtKeOc3Jymt1+8uTJVss2yPWYUEajVCpJYWFhk5+5c+eSkJAQwnEcIYSQrKwsIhaLyfLly8mtW7dIWloaGTFiBImJiWm17LFjx5KoqChy8uRJ8scff5CePXuSadOmmeK0zEp76lgmk923T0REBJk1a1arZQMgW7ZsafK5uro6E5yVeTFWHWs0GtK3b1/yz3/+k5w/f57s27ePeHp6kuXLl5vozMxHe+qYEEIWLVpEwsPDyZ49e0hWVhY5e/Ys+fXXX1stOygoiKxcubJJ2XK53NinZHaMWcf0eqzTnjrOzs4mAMihQ4ea7KdSqVot2xDXY5rwmJBKpSJeXl5k5cqV+vd27txJhEIh0Wq1+vdSUlIIwzAt/gFcvXqVACBnzpzRv5eamkoYhiH5+fnGOwEL0Fwd3ys9PZ0AIL///nurZQEgycnJBo7Q8hmqjvft20dYliVFRUX69zZs2EAkEglRKpUGjdnSNFfHV69eJUKhkFy7dq1DZQUFBZGPP/7YwBFaPkPVMb0et6y5Om5IeM6fP9+hsgxxPaYJjwklJSURlmVJXl6e/r2srCxiZ2dHvvrqK6LRaEhlZSWZOnUqGT16dIvlJCYmEldX1ybvqdVqIhAIyO7du40WvyVoro7vtXDhQhIWFtZmWQCIn58f8fDwIIMGDSKJiYlNvgnaKkPV8YoVK0hUVFST97KysggAcu7cOUOEarGaq+P333+fhIWFkQ8//JAEBweToKAgMmfOHFJWVtZqWUFBQcTHx4e4u7uT6Oho8sEHHxC1Wm3sUzB7hqpjej1uWXN13JDwBAYGEi8vLxIXF0f27NnTZlmGuB5bzeKhliAxMREPP/xwk0VOQ0JC8Ouvv+LJJ5/E/PnzodVqMXToUOzbt6/FcoqKiuDt7d3kPaFQCHd3dxQVFRktfkvQXB03plAosG3bNixbtqzNslauXIlRo0bB0dERv/76KxYsWAC5XI7FixcbOmyLYqg6Lioqgo+PT5P3Gl7Tv+P76zgrKwu3b9/Gzp078e2330Kr1WLJkiWYMmUKjhw50mJZixcvxoABA+Du7o6//voLy5cvR2FhIT766CNTnIrZMlQd0+txy5qrY2dnZ6xduxZxcXFgWRa7du3CY489hp9//hkTJ05ssSyDXI87nLJR5NVXXyUAWv3JyMho8pm8vDzCsixJSkpq8n5hYSHp1asXWbp0KTl37hz57bffyMiRI0l8fHyL2euqVaua/fbs5eVF1q9fb7gT5ZEh67ix7du3E6FQ2OQxSnutWLGCBAQEdPhz5orvOk5ISCBjxoxp8l5NTQ0BQPbt29f5EzMjhqzjhIQEAoBcv35d/15aWhoB0KFHMImJiUQoFBKFQtG1kzMTfNcxvR53/lrRYMaMGWT48OEdiqkz12PawtMJL7/8MmbPnt3qPqGhoU1eb9myBR4eHvdlsF988QWkUik++OAD/Xvff/89AgMDcerUKQwZMuS+srt164bi4uIm72k0GpSXl6Nbt24dPBvzZMg6buyrr77C+PHj72tZaI/Y2Fj85z//gVKptIr1dviu427duuH06dNN3rt7965+mzUwZB37+vpCKBQiLCxM/16fPn0A6Ea7hYeHtyum2NhYaDQa5OTktPsz5ozvOqbXY53OXCsaxMbG4uDBgx2KqTPXY5rwdIKXlxe8vLzavT8hBFu2bMHMmTMhEomabKutrQXLNp0dQCAQAAA4jmu2vKFDh6KyshJpaWkYOHAgAODIkSPgOA6xsbEdORWzZcg6bpCdnY2jR48iJSWlUzGlp6fDzc3NKpIdgP86Hjp0KFatWoXi4mL9I4GDBw9CIpEgIiKi3XGZM0PWcVxcHDQaDTIzM9GjRw8AwI0bNwAAQUFB7T5Geno6WJa97zGMpeK7jun1+H7tuVY0lp6eDl9f3w7F1KnrcYfag6hOOXToULNNfoQQcvjwYcIwDHnnnXfIjRs3SFpaGnn44YdJUFAQqa2tJYQQcurUKRIeHk7u3Lmj/9zYsWNJTEwMOXXqFDl+/Djp1auXTQ6DbNBaHTd44403iJ+fH9FoNPdt2717NwkPD9e/TklJIZs3byaXLl0iN2/eJOvXryeOjo7kzTffNEr8lsDQddwwLH3MmDEkPT2d7N+/n3h5ednksPQGrdWxVqslAwYMICNGjCDnzp0jZ8+eJbGxsU0GONx7rfjrr7/Ixx9/TNLT00lmZib5/vvviZeXF5k5c6bJzsncGLqOCaHX43u1Vsdbt24l27dvJxkZGSQjI4OsWrWKsCxLvv76a/0+xroe04THBKZNm0aGDRvW4vYffviBxMTEECcnJ+Ll5UUmTpzY5A/l6NGjBADJzs7Wv1dWVkamTZtGnJ2diUQiIc8++yyRyWTGPA2z1lYda7VaEhAQQF577bVmt2/ZsoU0zv9TU1NJdHQ0cXZ2Jk5OTiQqKops3LixyfQBtsbQdUwIITk5OeSRRx4hDg4OxNPTk7z88ss2PYKorTrOz88nkydPJs7OzsTHx4fMnj27yQiie68VaWlpJDY2lkilUmJvb0/69OlDVq9ebTX9dzrD0HVMCL0e36u1Ot66dSvp06cPcXR0JBKJhAwePJjs3LmzyT7Guh4zhBDSoXYkiqIoiqIoC0OXlqAoiqIoyurRhIeiKIqiKKtHEx6KoiiKoqweTXgoiqIoirJ6NOGhKIqiKMrq0YSHoiiKoiirRxMeiqIoiqKsHk14KIqiKIqyejThoSiKoijK6tGEh6IoiqIoq0cTHoqiKIqirB5NeCiKoiiKsnr/H2Tqfh1siZJ0AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For VA, let's zoom in on each quadrant's county pops\")\n",
    "xFactor, yFactor = [-1, -1, 1, 1], [1, -1, -1, 1]\n",
    "for i in range(4):\n",
    "    for c in range(nCounties):\n",
    "        if xFactor[i]*(countyCP[c].x) > xFactor[i]*MAP.centroid.x:\n",
    "            if yFactor[i]*(countyCP[c].y) > yFactor[i]*MAP.centroid.y:\n",
    "                plotPoly(countyGeom[c])\n",
    "                plotCenter(r3(countyPop[c]/aDP),countyGeom[c],8)\n",
    "    plt.show()\n",
    "    for c in range(nCounties):\n",
    "        if xFactor[i]*(countyCP[c].x) > xFactor[i]*MAP.centroid.x:\n",
    "            if yFactor[i]*(countyCP[c].y) > yFactor[i]*MAP.centroid.y:\n",
    "                plotPoly(countyGeom[c])\n",
    "                plotCenter(c,countyGeom[c],8)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "Working on county  100 distances\n",
      "Working on county  120 distances\n",
      "the max LAT-scaled distance between counties is 3.53509\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 3.53509  3.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  100 neighbors\n",
      "Working on county  120 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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VZhTJcF8hrgzSMyNEG1NsMgPg5dr8b88pwX7kXteN0YE+dHJxbvb2LyXM171VC9Y5abVUmK24u7T8LS0hhONIMiNEG5JnrCS9wMSwrgEtdo6Hu7Ruj4wj9e7sw6EzJQD0DPXBzVmSGiE6IklmhGgD0s6VkW+sIkTv1qKJzJVGo9EwINIPm01xLMeI1aboF+Hr6LCEEM1MxswI4WBHsgx4ujgxPCZAZt60EK1WQ+/OeoJ8XMksLL/0AUKIdkWSGSEcKO1cGT5uzq2+2OKVKlTvTu6vpogLIToGSWaEcJByczVlldVEBng4OpQrSqCXC+dKG7YYphCifZBkRggHUEqx/3QxfS+ydpFoGV07eZFZVE7SmRJSckux2dr9ii5CXPFkALAQrazaamNnWiFDov3RaKQSiiMM7FJTVbmsqpqfzpYAXPD/4vwzdxcd3YO9WzE6IURjSTIjRCtSSrHrVCFXxQbKCs5tgJerEwmXWC6i2GRm3+kigrxdifDzuGDRTCGE40kyI0Qr2ptexOAof0lk2hE/TxcGe/pzrrSKpLMlKAUDIn2lV02INkSSGSFayYGMYuJDpHBbe9XJ25VO3q5UmK3sSC1gWNeAZlnNXAjRdI16Jy5btoy+ffvi4+ODj48Pw4cP59tvv7VvT0tLY8qUKXTq1AkfHx+mTZtGXl7eJdtdunQpUVFRuLm5MXToUPbu3dv4KxGiDaswW6myWNF7tP4SAqJ5ubvouComkCNZBg5mFnOmSOrWCOFojUpmwsPDWbJkCQcOHGD//v1cd9113HzzzRw9ehSTycS4cePQaDRs3ryZH3/8EbPZzKRJk7DZbPW2+emnnzJnzhyeffZZDh48SL9+/Rg/fjz5+flNvjgh2gp3Fx3RnTzZm17k6FBEM9BqNSRE+jEg0o/8UqlbI4SjaZRSTZqX6O/vzyuvvEJERAQTJ06kuLgYH5+aFXENBgN+fn589913jB07ts7jhw4dyuDBg3nrrbcAsNlsREREMGvWLP761782KAaj0Yher8dgMNjPLURbU1pp4XhOKUOi/R0dimgmNptid3ohI2ICHR2KEO1Sc31/X/YNX6vVyqpVqzCZTAwfPpyqqio0Gg2urq72fdzc3NBqtezYsaPONsxmMwcOHKiV6Gi1WsaOHcuuXbvqPXdVVRVGo7HWQ4i2rNpq4/BZgyQyHcyxHKN9mrcQwnEancwkJyfj5eWFq6srDz30EImJifTs2ZNhw4bh6enJvHnzKC8vx2Qy8cQTT2C1WsnJyamzrYKCAqxWK8HBtVfxDQ4OJjc3t94YFi9ejF6vtz8iIiIaexlCtKoDGcWygGQH1CXAg5N5ZY4OQ4grXqOTmbi4OJKSktizZw8PP/wwM2fO5NixY3Tq1InPP/+cr7/+Gi8vL/R6PSUlJQwYMACttnlH/M+fPx+DwWB/nDlzplnbF6IplFIYKy3259klFYT5ust07A7I282ZqmorTbxbL4RookZPzXZxcSE2NhaAgQMHsm/fPt544w3eeecdxo0bR1paGgUFBTg5OeHr60tISAhdu3ats63AwEB0Ot0FM57y8vIICQmpNwZXV9dat7OEaEsOZBRTZDLTLdib6EBPzhSVM1R6ZTqsXmF6Np/IJ8jbjT6yPIUQDtHkOjM2m42qqtqLtgUG1gyG27x5M/n5+UyePLnOY11cXBg4cCCbNm3illtusbe3adMmHn300aaGJkSrUkqxP6MYbzcn+kf4kpxlYMsJE4NlnEyH5uasY0yPYLJKKjiYWYxSCq1Gg1ajQQFOWg1dAjzwdpNp+UK0lEbd/5k/fz7bt2/n9OnTJCcnM3/+fLZu3cpdd90FwIoVK9i9ezdpaWl89NFH3H777Tz++OPExcXZ2xgzZox95hLAnDlzeO+991i5ciXHjx/n4YcfxmQyce+99zbTJQrROo5kGenTWU98iA9OOi0JkX4MjwnAy1VqU7Y327dvZ9KkSYSFhaHRaFizZk2t7UopFi5cSGhoKO7u7owdO5byc2cZEOnHwC7+JET6cfPV/UmI9KNPuC8+7i5oNBqWLFlS7zmLioqYNWsWcXFxuLu7ExkZyWOPPYbBYGjhqxWi/WvUp2x+fj4zZswgJycHvV5P37592bBhA9dffz0AKSkpzJ8/n6KiIqKionj66ad5/PHHa7Vx/jbUeXfccQfnzp1j4cKF5Obm0r9/f9avX3/BoGAh2jKbTVFhsV5Q3Veq/bZPJpOJfv368Yc//IFbb731gu0vv/wyb775JitXriQ6OpoFCxYwfvx4jh07hpubm32/v/3tbzzwwAMA7E0v5Lo+Xeo9Z3Z2NtnZ2bz66qv07NmTjIwMHnroIbKzs/niiy+a/yKF6ECaXGemLZA6M8LR9p8uom+4Ly5OUt6+o9FoNCQmJtpvhSulCAsL4y9/+QtPPPEEUFNTKzg4mPfff5/p06cDEBUVxezZs5k9ezYApqpq0s6V0Tfct8Hn/vzzz7n77rsxmUw4OUkPn+h4HF5nRogrkcVq48sDZ6m2/lLVOqukgk7erpLItHGXc+vo5MmTF7STnp5Obm4u7733HhqNhqSkJPR6PUOHDr2gPtaSJUvw8vLC29ubAL0X/SL8SD1z6SVezjv/AS+JjBAXJ5++QjRQan4ZR7IMdAnwwOl/CwweyTJQbDLTJcDTwdGJSzl/62jp0qV1bj9/6+jtt99mz549eHp6Mn78+Av2O18Dq3PnzrVe/219rMcee4xVq1bxpz/9ibFjx9pX2T5VYGrQVO6CggKef/55HnzwwQZfoxBXKkn3hWiAIpMZc7WNhEg/DmUWY7UpdqQW0CPEmyAft0s3IBxu4sSJTJw4sc5tSilef/11nnnmGW6++WYAPvjggzrH7p3vfXn22WfZsmVLveebM2cOAKNGjQJg7ty5vPLKK3QLdOXwWQP9InzrPdZoNHLjjTfSs2dPFi1a1ICrE+LKJj0zQjRA2rkyeoR6A1D9v0TmqpgASWQ6iPO3jn69tMr5W0e/lpeXxyuvvALU9PT8dltISAhKKXJTf77gHD169ACgIDcbXw9njmbXPUuptLSUCRMm4O3tTWJiIs7OMqVbiEuRZEaIi1BKcSCjiCBvV/ttgoQIX67pFmi/1STav/O3h+paWuU8pRT33HMPjzzyCCEhIfz444/2bUajkT179vDzzz8T6ONDRI9exIaEkbjyffs+r732GgBDhgwhKtCL3p19uWrU2ForqRuNRsaNG4eLiwtr167ltddeY/DgwXh7exMUFMQtt9xCSkpKS/wJhGjX5DaTEPUoNpk5nmukf4QvHi6/vFUkien4ysrKSE1NpaSkBKjpuZk3bx4FBQU89dRTuLi48Pe//x2AkydPsmjRIpycnDh9+jSvPreQb3bt5fi+Q0x/4EH+cTId3x7d7UnIiRMn0Ov15OTkcMcdd5B54ifiQkaisVQwbtw4ysvL+eijjzAajXz33XfcfffdjB49GqUUTz31FOPGjePYsWN4eso4LSHOk2RGiHqcyC1lREygo8MQreD88il5eXmEhoayf/9+Ro8ebd9+fvwL1CynopSyD+KdNm0aISEhVFRU8OqrrzIwvjsnjp7hoHk3lupqHlv8AhEhIXTp0oWTJ08SHByMr68vlZWVnDx5kgA3aioHZx1lz549APYlYwC2bt1Keno6UVFRvP/++wQFBXHgwAGuueaa1vjTCNEuSDIjRB2OZBnoGSY1i64U0dHRhISEsGnTJvr378+oUaMwGAwEBQWxYsUKbunTl7R9ezmzfjOGzHOEjR6IsWs0kx54gC+++IJevXrRo0cP3NzcCO4ay03XjWBEfDxPvPEyNict86Y/yOqkrZw8eZLY2FgCAgK47rrrKCgoICAgAHO1jU+LoikxmdF71D9G5nw1YH9/WSJDiF+TZEaI31Cqppqv3l0GXnYk528dnZeenk5SUhL+/v5ERkYye/ZsXnjhBbp162av6hsWFsbgvfvY8//WobNW4ebkQYC5GvPWE5SvPwhATEwM8fHxDB8+nGeeeYZz587x4YcfUqqqOZVzhojOnYkfM4DIolMAvPrqqxQXF/P2228zceJEdu3ahYuTjlsSOrPnVBFje9Zd/dxmszF79myuuuoqevfu3fJ/MCHaE9UBGAwGBSiDweDoUEQHcDLPqIpNVY4OQzSzLVu2KOCCx8yZM5VSStlsNrVgwQIVHBysXF1d1ZgxY9SJEyfU1qumq6TeA5U5K0sZt2xRNptNVaSkqE8TJihAHTp0SCmlVGpqqhoyZIgClFarVYMHD1Z33XWXCggIqPO8L730kgLU999/b49xX3phvfE/9NBDqkuXLurMmTMt+WcSolU11/e3jGQUHcrJvFJ+OHmuVoXexjJUWPD1cGnGqERzu1Q139WrVzNu3DgCAgLsVXpHjRplH+uilOLaa68FYOXKlWg0GrRaLfn5+eTm5lJZWcn3339PXFwcemM6+Z0GULRtOy98+y194uLw79GDPx3Zyu9uuomgoCCgpodmz549lJWVcfbsWfbu3YvFYmHo0KEopbBarXyxIZF/fPkO3+/czJDrR+Dm48Xi1f/i7+veZfveHei0mjqv99FHH2XdunVs2bKF8PDwFv3bCtEeSTIjOhRDhYWrYgLZk15Eubm60cfnGioJ8pbaMW3dpar5mkwmRo4cyUsvvXTRdh544AFycnLsj5dffvmCffru3kykSw7b39vO5nfeZ4pTGG8NnsqS2P6czMpi8uTJtfb39PQkNDSU4uJiNmzYYC/C9+F/V/GIcxSbXTU8aTKxdPe3VJaa6OTvx4nqSn5X5sq2rV/WakspxaOPPkpiYiKbN28mOjq6MX8mIa4cTe8kcjy5zSSUqrlNcDCjyP7fe04VqsKyxt0u2nOq/m5+4Tjbtm1TN910kwoNDVWASkxMtG8D1Ny5c9X111+v/P39a936SU9Pr/VcqZp/GxMm1Nwiuummm+o9p9lsVnPnzlW9e/dWHm5uKsjDQ030D1Zb+w9UpgMHlVJK7d27VwEqIyNDrV+/Xn377bfq1KlT6rvvvlP9+vVTQ4cOVWazWa3ZvE6F3jZZLXz9eZWWlqZeeO3vyrVbN+Ub2klVVlYqpZS6I/EN5du/l3rzzTftMTz88MNKr9errVu3qpycHPujvLy8+f64QjiQ3GYS4lfKqqr5MbWQ+JCaGUgajYYh0f6cKSonx1DRoDbOFJUT7ufekmGKy3SpnpiqqqoG9cQAvP766/YCiNu3bycwMJDevXszf/58ysvL7fuVl5dz8OBBFixYwMGkJL7atInC2C78RQceAxKAmtlFGo0GX19fDAYDjzzyCPHx8cyYMYORI0eyYcMGnJ2d+f7EXkrTz7LsxTeJj4/nvdffYfKA/mxZ/x2urq4AjHDyoio7l8LCQnsMy5Ytw2AwMGrUKEJDQ+2PTz/99LL/lkJ0SM2UXDmU9MyIi/WonMgxqlPnyprUhmg7qKNn5vzz3/bE/Pb5oUOHVOfOnVVOTo4C1MKFC9Xhw4fVRx99pDp37qymTJly0XP/uiemoqJCDRgwQP3ud7+7ZMwPffWmmptY0+NitVpVeXm5slqttfb5cfdONebbD+w9NUJcCZrr+1umZosOwcWp/k7GuBBvTheYOJ5jpEdo3bVjjmUbiQvxbqnwRBtQXl7O7373O5YuXWovkpeQkECfPn3o06cPoaGhjBkzhrS0NGJiYups43xPjKenJ9OmTUMpxbJlyy557s46F7a7uPGXtW+RrnPG4OSJm7WKAGslQ5y8mHHVFKow42ozy1pMQlwGuc0k2rUzReWkF5iwXGL2UlSgJ34eLiSdKblgm7naRmW11JXp6B5//HGGDxtOr/AhZB4rvGD7+UUlf12L5tcqKyuZN28ed9xxB/fffz8ZGRls3LgRH59LF1e8OWoEncyluGq0TPcI5rXQvszxj2GEq55N1kp67z/O6mPbcbdWodXKx7IQjSU9M6LdSsktxdvNCR83ZyL9PS65f4jeDTdnLbtPFTI02t8+biI5q4SECL+WDlc40NatW9m8eTOv3fkcVR/vw6at+ejb98Eu4oOHEDc0lKSkJABCQ0MvON5isTBt2jRsNhtlZWWkp6ezZcsWAgICGnT+Pr368HGvPhe8PgaYXlLCgsR/8mNEAt3LTl32NQpxJZNkRrRb1TYbfh4uuLvoGnyMr4cL/cJ92ZFawIiYQCxWG846Ldp66nuItqmiosKefMAv1XxNJhNQczsoKSmJ7OxsAL777jtSU1OZ/PxdaDVa+7pKixNf4etdidx56338a/27XHPNNfTt29febnx8PM8//zyffPIJp0+fpnPnziQlJbFu3TqsVqt9tW1/f39cXC6vNpGvry//vHcBmVnZZBf3uKw2hLjSadT5d3U7ZjQa0ev1GAyGBnX5io5h3+kiBnXxs/ewNEa11cbOtEJ0Wg0jYgIuqw3hGBqNhueff54FCxZcsG3q1Kl8+eWXPPfcczz77LMXbL8x3pcHZ8zj1B4Dj3+1BFcnV2w2K4HeAdz94AyeeeaZWp8hGo2GhIQEzGYzK1euZNCgQXXGtGXLFkaNGtWk6yosq6LcbCWiAb2MQnQUzfX9LT0zol2y2Wpy8MtNQpx0Wq7uFki2oVISmXbgt+sqeXp6cujQIfu6SkVFRWRmZpKdnc2XX35JXFwchw4dIiQkhBBnE8evuomSsaUMfy0VnN1IXTaTx7+CtyYtpFd4NGVhflz/1wnEx8ezePFipkyZgsViYfLkyRw8eJB169YRHBxMTk4O0LSemPqUm62N6mUUQvxCkhnRLu06VcjgqKatHKzRaOjsK3Vl2oP9+/czevRo+/M5c+YAMHPmTN5//33Wrl3Lvffea98+ffp0AJ5duJAbddvJ62fhpr/9AM411Z1jpzwBf/oAgHJrNX2nDwMgJSXFvjJ1VlYWa9euBaB///614mmOnpjfKjdbCfCSZTSEuBySzIh253SBidggr4tOxxYdy/l1lepzzz33cM8991zwesqSkeR9VYCumw1z0Vlc/GuWAyg98BlrbhhG77/cRsxV3e37//ocUVFRFz1nc6u0WHFzkp4ZIS6HJDOi3Sk0VTEwsGm9MuIKUFFM9roCgko0GMt1bJx9H8pNERTvR/lmIz59KmolMo7m6epEmbkaHzcpESBEY8lPW9Gu5JdWEujl6ugwRHvg4oUpwMbp/ma0blb8cnWExevJ/9lA9/sHMPqfxx0dYS3SMyPE5ZOeGdGuZBVXkBApNWFEA+ic8eziivOeanRWGPjaw7hc/RgDlII2MujbWGnB29UJjUZDWVW13DoV4jLJO0cI0WGNXrwV/Y0++JaBU+f+NS+2kUSm2GTmUGYJBzNLOJRZTGyQl6NDEqLdkp4Z0a7INGrRKJ4B9Jm3CfMtG9FGX+3oaICaQcY/nTXgotNybfdOjg5HiA5BkhnRrpirbfaqvUI0iKsXLn2nODoKAKw2xc60AgZH+ePmLONjhGguksyIdsXNWYtWemdEO7XnVCHDuwbgJMm4EM1K3lGiXbFYbehkHSXRDqXmlxIf6iOJjBAtQN5Vos1TStmLl0mvjGivyqqs+HtKhV8hWoLcZhJtWpHJTHKWAU8XHRqNhqgAWYRPCCFEbZLMiDYtvaBMZnyIDsFqa72lEYS40shtJtFmVVqsMmtJdBherk6UlJsdHYYQHZL0zIg262i2gQFS7Ve0Y4YKC6n5ZQA46zR4ucpHrhAtQd5Zok0qq6rG1UknRfJEu5OaX4qhohoAHzcnBkT6yr9jIVqYJDOiTfo5r5SECF9HhyFEg1VbbexNLyI+1IfYIG9HhyPEFUWSGdEm1awFKL9mRftwrrSKtHNlDO0aIHWQhHAAGV15BSg3mln/7Fcc3vAzVovN0eE0iOQxor04XWCi0FTFMElkhHAYSWauAAdW7SPMaKPqm0Ns/8t/2PXhPirLLI4Oq16llRY8XGTdGtE+FJWbiQ/xcXQYQlzRJJnp4KrKLZiPniY/2J3Y+TdhjQxC7TvJgae+YNNr31OSX+7oEC9wLNtIXLCMORBtn1IK6YsRwvFkzEwHd2RLBkE6TwJuG4pfiCdjn7ieilIzh1YfQnsglZ9f/JoivQu9f3cNneP8HT5OxVBuwcPFyeFxCNEQaefKiAnycnQYQlzxpGemg8vbfZQqmwWfXy0D4O7twoiZQ7n6/6bjNjEBrbGCvLc3s+GJT8k9VezAaCElr5Q+4XqHxiBEQ+UaqvBxc3Z0GEJc8SSZ6cCUUngYyjB2DcbLz/WC7U7OOvpO6M71/7gT/3uuBhQZb3zH2WMFrR8scLa4nFC9m0POLURjWG2KH06eY2AXKeooRFsgyUwHZrXY8NA44R0ReNH9NFoN0f1DuP6lOyh0Vhx7dwPmyupWirKGUoqzxRVE+MtCkqLtSy8w0S/CF3cZqC5Em9CoZGbZsmX07dsXHx8ffHx8GD58ON9++619e25uLr///e8JCQnB09OTAQMG8OWXX160zUWLFqHRaGo94uPjL+9qRC0V/5ux5OLRsG5wnZOWYX+5CU+bhs2vbmjJ0C5wNNtIv3DfVj2nEJfLUGHBW5YmEKLNaFQyEx4ezpIlSzhw4AD79+/nuuuu4+abb+bo0aMAzJgxg5SUFNauXUtycjK33nor06ZN49ChQxdtt1evXuTk5NgfO3bsuPwrEnZOzlrMykpBytkGH+Mf6oX79f3xP1eG4VzrzXQqq6qWX7miXai22gAlg9SFaEMalcxMmjSJG264gW7dutG9e3defPFFvLy82L17NwA7d+5k1qxZDBkyhK5du/LMM8/g6+vLgQMHLtquk5MTISEh9kdg4MVvi4iGyTqeR4FFoUvNbtRxfcfHUa6q2f/RzhaKrLZzpVWE6d0bdcz27duZNGkSYWFhaDQa1qxZU2v76tWrGTduHAEBAWg0GpKSki5oo7KykkceeYSAgAC8vLyYOnUqeXl5Fz1vQ9oVHdvhLIPcDhWijbnsMTNWq5VVq1ZhMpkYPnw4ACNGjODTTz+lqKgIm83GqlWrqKysZNSoURdt6+TJk4SFhdG1a1fuuusuMjMzL7p/VVUVRqOx1kPUVlZcSfHHu+jh6YfHNX0bdayTiw6Xgd1wT8+notTcQhH+IrukgpBGDvw1mUz069ePpUuX1rt95MiRvPTSS/W28fjjj/P111/z+eefs23bNrKzs7n11lsved5LtSs6rnJzNVqNhiBvGaguRJuiGunw4cPK09NT6XQ6pdfr1X//+1/7tuLiYjVu3DgFKCcnJ+Xj46M2bNhw0fa++eYb9dlnn6mffvpJrV+/Xg0fPlxFRkYqo9FY7zHPPvusAi54GAyGxl5Oh1RRZlZfP75K/TDrY5Wbfnl/k4pSs9ox6xP1w/JdzRzdhY5mGVSFufqyjwdUYmJindvS09MVoA4dOlTr9ZKSEuXs7Kw+++wz+2vHjx9XgNq169LXXF+7ouOyVFvVDz+fUzabzdGhCNFhGAyGZvn+bnTPTFxcHElJSezZs4eHH36YmTNncuzYMQAWLFhASUkJ33//Pfv372fOnDlMmzaN5OTketubOHEit99+O3379mX8+PF88803lJSU8Nlnn9V7zPz58zEYDPbHmTNnGnsZHdqxzafobNMRevc1BEddXpl1Ny9nqmKCsSalYamyNnOEv6iqtlJcbsbNuXXHyxw4cACLxYLp8C9vgfj4eCIjI9m1a1erxiLah2M5RoZEO76wpBDiQo1OZlxcXIiNjWXgwIEsXryYfv368cYbb5CWlsZbb73Fv//9b8aMGUO/fv149tlnGTRoUL23Auri6+tL9+7dSU1NrXcfV1dX+4yq8w/xi5Kcmttuwd06NamdQXcNx02j4/C3x5sjrDodyixhRExAi7Vfn7SUDHRaJwxnszj6Q5b99eDgYHJzc1s9HtH2VdsULk5SzUKItqjJ70ybzUZVVRXl5TUzX7Ta2k3qdDpstoav1FxWVkZaWhqhoaFNDe2KZc48Q6GlEnevplUm9Ql0p6STF8VbfsJmbd7VtpVS7DlVSJcAD4f80s08eg6AqH6D2LRiLRlHCls9BiGEEM2jUcnM/Pnz2b59O6dPnyY5OZn58+ezdetW7rrrLuLj44mNjeWPf/wje/fuJS0tjf/7v/9j48aN3HLLLfY2xowZw1tvvWV//sQTT7Bt2zZOnz7Nzp07mTJlCjqdjjvvvLPZLvJKEzdlKH7OrhzbdqrJbfX//dX44syRLekopZohuhrF5RaCfdwIbeQspqayVFnZ/VUaZWeLsNqquWZmD4KiY9m8cjsVZWby8vIICQlp1ZhE22ezKXRye0mINqtRVZ/y8/OZMWMGOTk56PV6+vbty4YNG7j++usB+Oabb/jrX//KpEmTKCsrIzY2lpUrV3LDDTfY20hLS6Og4Jdy+WfPnuXOO++ksLCQTp06MXLkSHbv3k2nTk27RXIlix7YmZMfmnFKSoOxsU1qK7iLnoO+rgStO8jG/+7Be3Acvcb3xCfg8pOQ9AITKblGRscHNSm2y/HOrG+xmo8T4hWCs5MzmzdvJqpPf3YnfsKL9/xMZmamfXaeEOcZKy3o3WUNJiHaqkYlM8uXL7/o9m7dul2y4u/p06drPV+1alVjQhANpLPV/JpsDuMWTiLjcD4FX+/DujuFE3tSKXKBkFH9iL82BrdG3M6qtFgpKKtiQu+m3UYsKyurNa4qPT2dpKQk/P39iYyMpKioiMzMTLKza2rspKSkUG6sosR4gui4kUx4sA/pXieYM2cOr7/0/9CExvDxvxfQt8cAhg0bZm83Pj6exYsXM2XKFIA62wXsNZJEx1RoMtPJ+8L1zYQQbUSzzK1ysOaa2tWRbH/0Y/XQtEcUoP785z9fsN1ms6kJEyZcdFqzUkqZzWY1d+5c1bt3b+Xh4aFCQ0LVpOunqI8eeUftmvUftXPWJ+rbp79Qx3dkKHPVxadXF5VVqR0nm2dq65YtW+qcnj9z5kyllFIrVqyoc/uE/hPV6eQCpZRSFRUV6k9/+pPy8/NTHh4ealD8VerVB96uFR+gVqxYYX9eX7vPPvtsk69JtF1JmcUyJVuIFtBc398apZpxIISDGI1G9Ho9BoNBZjYBp5PP8cOLy5m/bSkBQf6MHj2a119/vdY+r732Ghs3buTbb78lMTGx1rimXzMYDNx222088MAD9OvXj+LiYv785z9jtVrZvnknx7ecpGB7Mv7VGiqVlYpgH+ImDSGiVyBaXe0hWTvTChgR47jqztVmKyvmrkOnU9z76s0XDDze+eXPHN68iz++NUOm34pajmQZ6BbshauTLLkhRHNqru9vWSmtgzEZqji2dC3zN7zB8lUrWbz47xfsk5SUxP/93/+xf//+S84a0+v1bNy4sdZrb731FkOGDKGgJJeBN/eCm3tRklfOsW+T0SSlcu7f20izmdHEhNL9hgRCYnw5kFGMo9NmJxcdWidvyopOYrMpyooqKMmvIP+0AUO+kWPbdxAU3U0SGXGB7sHepOSW0idc7+hQhBB1kGSmg9n9/o/8c9tKbrnzdsaPH3dBMlNeXs7vfvc7li5detljPAwGAxqNBl9fX/trvsEejLhnKEoNITfdQOm6g7ik5lL9ryR+mBzL1cPD0WkdmyRYq21YKvOI7t+HLR8e49i2baB1A1WNu483A268nn7XdXFojKJtcnHSYmlEiQkhROuSZKYDyU4tZs/6r0gpzSLxH9/Vuc/jjz/OiBEjuPnmmy/rHJWVlcybN48777yzzi5BjUZDaFdfQh+7ju2zPubnsiyu7jfS4YkMwKmkc5jLyxh0Yy8+/3siGp0/v/vbJHyDPNBJMTRxCUrV1EdqiZ47pRQpeaVE+Hng6Sofy0I0lnyCdyCbl63mlW3vs3rdatzcLlwIb+3atWzevPmC8TMNZbFYmDZtGkopli1bdsn9/W8ZhreTE3s/3H1Z52tu6UlZKFXOd+99D6qSSX++noAwL0lkRIMEebtSUNYyC6/uTS8iws+DpDMlmKulB0iIxpJP8Q4i51QJeT+foKTCyKBBA3FycsLJyYlt27bx5ptv4uTkxMaNG0lLS8PX19e+HWDq1KmXXNn8fCKTkZHBxo0bLzlQq6LMTOGJsxirLViK28aq5v3GxhIa25vQbtH0HzeSLr1bfxkF0X6F+bqTVVLR7O2eXzXe09WJETEB7D5V2KwFKoW4Ekgy00GkfX+EXmFxJB36iaSkJPtj0KBB3HXXXSQlJfH0009z+PDhWtuhZmbTihUr6m37fCJz8uRJvv/+ewICLp4EmCur2fbMF3idzMdVp6XruH7NeamXLTjKh2lPj2HcfQO4ZnpvGejbjmzfvp1JkyYRFhaGRqNhzZo1tbYrpVi4cCGhoaG4u7szduxYTp48ad++detWNBpNnY99+/bVec6ioiJmzZpFXFwc7u7uREd1YfGCuRgMhma7rgqzleySCroEeAI1t2mHdvXnx1RZXkOIxpCbsx2ER2ggnh5+hPhG1Vop29PTk4CAAHr37g1Q56DfyMhIoqOj7c9/XSjOYrFw2223cfDgQdatW4fVarUvxOjv74+Li8sF7R3+5jh+Skv44+MIjpLZH6LpTCYT/fr14w9/+AO33nrrBdtffvll3nzzTVauXEl0dDQLFixg/PjxHDt2DDc3N0aMGEFOTk6tYxYsWMCmTZsYNGhQnefMzs4mOzubV199lZ49e5KRkcEDD/6R2383g+/++1Wj4q+22jh0pgQXnRbb/3pdzve9DOziV2tfVycdbs7yO1OIxpBkph1L25NJ6qc7UB6u2ExmPKw24gMvHCvTWCkpKfZfn1lZWaxduxaA/v3719pvy5YtF9yeKjhbSvb2Y/grG/6hXk2ORQiAiRMnMnHixDq3KaV4/fXXeeaZZ+wD2z/44AOCg4NZs2YN06dPx8XFpVYib7FY+Oqrr5g1a1a9PXS9e/euVdE8JiaGJYv/zl13343ZbMHFpeGVr/edLmZItH+DB8I76ySZEaIxJJlpp5RSnP7kB5TFhgYzLjYb0fddh7tX7Z6SrVu3XrKdi70WFRXV4Pv3FrOVnxavwctJS/DvrsHZVQqMiZaXnp5Obm4uY8eOtb+m1+sZOnQou3btYvr06Rccs3btWgoLC7n33nsbdS6DwYC3tw8lVVaCGpjMHD5bQrdgrzYxo0+IjkqSmXaqotSCN05UDI7h2nvr7iZvbTuWbaOTixf+D15NeA/HVfoVV5bztz2Dg4NrvR4cHGzf9lvLly9n/PjxhIeHN/g8BQUFPP/88zz0xwf5ObeMTl6uF/Tq5BoqyTFU2F+3KUVUgCf+nhfejr0YmwwAFqJRJJlph45vP03+Fz9iQzF0al9HhwNAUU4Z+vQiMpSFvpLIiLak0gjZh6DzQHD14uzZs2zYsIHPPvuswU0YjUZuvPFGevbsyaJFi7CiZX9GMc46LUqpmgW6FITo3UiI9Ltke5fSTGvECnHFkGSmnTnxw2kqVu/D6OrKiMfH4+HTuF98LcFmtbHv9W9wt1qInTrc0eGIK8z5sTB5eXm1lufIy80mqPIU/71tELoqDdV66DUqnn98m0aAvx+TJ09uUPulpaVMmDABb29vEhMTcXZ2xhkYHOXfEpdDan4Zkf4eLdK2EB2VjDJrR3JSSzCvPsRZreKml6cSEObt6JAASNl1lk5VGrr+aTw9RnV1dDjiChMdHU1ISAibNm2yv2Y0GtmzZx/dymDkncOYsOJjul0/hBNfHeeLLT8zKkKHs/Olx7wYjUbGjRuHi4sLa9eurbMYZXOy2hRFJjOdvF1b9DxCdDSSzLQjSZ/uwVnrxPDZE9tUjZSs1Ts4566RcTKixZSVldWqjZSenk5SUhKZmZloNBpmz57NCy+8wNq1a0lOTmbGjBkE+bgwrdqbH9bsAhdP4v74IS5//ju5FRaud/PA8nPtBVSzsrKIj49n7969wC+JjMlkYvny5RiNRnJzc8nNzcVqtbbIdSqlsMo9JiEaTZKZdiT6mnjKrZUUnG2+ol1NlfTfE3hUg1+/GEeHIjqw/fv3k5CQQEJCAgBz5swhISGBhQsXAjB37lxmzZrFgw8+yODBgykrK+P77XvoOzeSmGQnStbOB2D5J6sZMWIE0YP8+OHtp2udw2KxkJKSQnl5OQAHDx5kz549JCcnExsbS2hoqP1x5syZFrlOJ52WUL0bx3PaRtVsIdoLjeoAdbONRiN6vR6DwXDJMvvtmc1q49u5n+NvsdHj6ZvxDXbsffXiXBMZL20gz2xi+N9uwyfA3aHxCHGB0ly+fWQEGmc3Jvz9cwjuBYBp49/Z+fcPuP6zr6BTnIODvNDRbAPhfh7o3Rtey0aI9qi5vr+lZ6Yd0eq0jF9yG2ZsHPp0j6PDIXnNQUqtlVy9+A5JZETb5B2C1t0b78OKg9ffBjk/se/FcWz917/R2MBWZXJ0hHXqFaYn+ayBSkvL3M4SoqORZKad0aDBaANzZp6jQ0HrpMOKahMzqoSoz5hn/k30/XHkB9v45r5pFG/OxCvTCRVnQxs+wNHh1euq2ABSckv5MbUAm4yjEeKiZGp2O2Kx2jhwMIfeHsEcLM2j0mTBzdNx3dBh/aMpOZJFTloJoTG+DotDiItxihhI2B/XEDY9i4oT31NpKkLfdRjagOhLH+xAGo2GfhG+VFtt7EwrZGQ3GWAvRH2kZ6Yd+elMCTE9A6m8KYYgZ9j11Gek7TvrsHi8OnmigGqzdIWLdkDfGfehM/G77nG0UcPB+8JFV9siJ52WfhF6TuTKoGAh6iPJTDuQb6zkx9QC/Dxd6OTtSo9rokl47jbM3h4YPt7Fd89+hbGgolVjMhSUc+Cf6zEqM2GxTa94KoSon7ebM5UWm6PDEKLNkmSmjTuUWUx+aRVXxQYS0+mXVai9/FwZ9/wteEwdglNJGUefX8OuD/djbYUPvEqThZ2L1+JtqSZ65ih0zo37Z7R9+3YmTZpEWFgYGo2GNWvW2LdZLBbmzZtHnz598PT0JCwsjBkzZpCdnW3fZ+vWrWg0mjof+/btq/e87777LqNGjcLHxweNRkNJSUljL10Ih+kAE0+FaDGSzLRhhzKLCdG70buzvs7tGo2G+Ku7MPKlO6juEYFufxpb5q4iZddZyo3mZotDKUVOagllxVXYrDa2PfMFeoui88xRRA3o3Oj2TCYT/fr1Y+nSpRdsKy8v5+DBgyxYsICDBw+yevVqUlJSapWeHzFiBDk5ObUe999/P9HR0QwaVP+im+Xl5UyYMIGnnnqq0TEL4WhSTE+I+kmdmTYqJbcUvbszIfqGl08/d9bIwaXf4V9uRQEmqrHqPfDsHkHn/lEEResbPWC42mJl08I1dKpQVCsrxdVmQl290P/hGrr0DmjkVV1Io9GQmJjILbfcUu8++/btY8iQIWRkZBAZGXnBdovFQufOnZk1axYLFiy45Dm3bt3K6NGjKS4uxtfXtwnRC9F69qYXMTjKr01V/xaiqZrr+1tmM7UxSilO5pfhpNM0KpEB6BTuw7i/T6W0sJLctGIqD5ykOjMPy94U8valkYPCpLFh8/fEp0cUnftF0inSGxe3+v8ZZKcUEVqlJSPEj+7XxmLaeYxCNPTs7tvEK204g8GARqOpN/FYu3YthYWF3Hvvva0WkxCtrVeYD8lZBvqG+zo6FCHaHElm2pikMyUE+7gR5nt5Reg0Gg0+ge74BLrTfWgYAMqmKMkvJ+fnQioPpWLNOkfVD0fJ3nGCM0ph0tlw7taZhOlD8fb/JYFK3XMG43/2UKCxcPUfBuMb5Enc8PBmuc6GqqysZN68edx55511Zu3llnIW/mMBQ0YNITy8dWMTojV5ujrh5+HCvtNFuDvr6BbshauTztFhCdEmSDLThuSXVuKs0152IlMfjVaDX4gnfiGecE3NbRqb1UZxbjk5KXlUHEyFE2c59lwOpcHe9LlrJP4hXhx5fzuRrq4Mfepm9J1af+kEi8XCtGnTUEqxbNkyLFYLmzI3YbaZcdG6sO7UOop2Heb4ruNce2s4289u55rwa1o9TiFaS4S/BxH+HpirbRzNNqB3d6brryYGCHGlkmSmjdiVVnjRwb7NTavTEtDZi4DOXnBdDObKapK/PY5222HOvPYdydWVhLu4opvY36GJTEZGBps3b8bTy5P5ax6iaN9OzE5g04LeBBmndfgF+OM8xIflbz9Mz6e3EeguxcVEx+bipCUh0o/0AhPHc4z0CO0YYwWFuFySzLQRSimiAz0ddn4XNycGTumDbXIvUnZkUvLtXlxG9afv+NhWj+V8InPy5Em2bNlCQEAA285so2D/Tmb8aSk9/HtQUlUCwMRBE5n2u2mogu2cCNeg1cgEPXHliA70JN9YKYODxRVPkpk2QqttGx9CWp2WHtdG0ePaqBY7R1lZGampqfbn6enpJCUl4e/vT2hoKLfddhsHDx5k3bp1WK1WcnNz+fTbZbh1jmJUxCgAgj2D2bRpE+np6Tz20GOsPO1M9M4tmK01U9KzsrIYM2YMH3zwAUOGDAEgNzeX3Nxc+7mTk5Px9vYmMjISf3//FrteIVpSkI8b3m7OJJ0pwWpTOOm0dO3kibnaxpmicgB7kqOUQqPR0MnblU5errg4SfIvOgZJZtqIK6mGxP79+xk9erT9+Zw5cwCYOXMmixYtYu3atQD079+/1nHPfvBsrefLly9nxIgR9OjRgx62gZzb8wO+rr5ATe9OSkoK5eXl9v3ffvttnnvuOfvza66pGV+zYsUK7rnnnua6PCFanbuLjoTImkrcNpviVEEZrk46+kf4XtBbY7MpCsqqOJlfisVa9+eOt5sTXfw9cNJJsiPaB0lm2oC0c2VEOfAWU2sbNWrURauZ/nZbpjGTZ16ZiN5Vz6RJkzhw4AA5OTm16tMk/fQdu37MpX/v/pw5cwYXFxfGjBmDu/svg6kXLVrEY489xqxZs/j666/RarVMnTqV22677aLxvvvuu3zyySccPHiQ0tJSqU8j2jStVkNskPdFtwf5uBHkU3/pB0O5hRO5pVTbFNVWG7nGSq7p3gkfN8ctbCvExUja3QaUlFvo3MwzmDqSCO8I/KK6s/GHT4jpEXNB5eATRScwHkki4ZrreOutt0hOTmbHjh1ERUUxbtw4zp07Z9/3rrvu4ujRo2zcuJF169axfft2HnzwwYueXyoHiyuN3sOZ3p319I/wZVCUP2G+7ni7ym9f0XZJBWAHqrRY2ZteRM8wHwK9XB0dTpt2ougEL7//ANZqC8PH38PD/R/m7//6O8PHDefD5Y/jEhHJazM/xc3pl1+b5/9dfP/994wZM4bjx4/Ts2dP9u3bZ1/2YP369dxwww2cPXuWsLCwi8YglYPFlcpQbqHAVFVrfTghmkNzfX9Lz4wDuTnr8HTVSSLTAPH+8fzjT1/j2SmUnV+8BcCW//4/Pln6CHkhrrzwu3/XSmTMZjPvvvsuer2efv36AbBr1y58fX1rrd80duxYtFote/bsad0LEqId0Xs4Y6iwODoMIeolyYyDaWUqZYP5uvmy9J7VLF90CICh42Yy4s6/sObBHQS416wTtW7dOry8vHBzc+O1115j48aNBAbW1J3Jzc0lKCioVptOTk74+/uTm5vbbHGWlpYye/ZsunTpgru7OyNGjKi1mndZWRmPPvoo4eHhuLu707NnT95+++2Ltnn06FGmTp1KVFQUGo2G119/vdniFaIh5JNKtGWSzDhYkI8bO1MLHB1Gu6HRaHDW1QxCHBgyiHv6/QEn7S/38kePHk1SUhI7d+5kwoQJTJs2jfz8fPt2paAo20S12dpiMd5///1s3LiRDz/8kOTkZMaNG8fYsWPJysoCamZvrV+/no8++ojjx48ze/ZsHn30UfssrrqUl5fTtWtXlixZQkhISIvFLkR9vN2cyTNWOjoMIeokI7oczGZThMrg32bj6elJbGwssbGxDBs2jG7durF8+XJmPTQHS4kLZzOy+OiZDwHQOkVQXV1MUVFRsyUIFRUVfPnll3z11Vf2qd+LFi3i66+/ZtmyZbzwwgvs3LmTmTNnMmrUKAAefPBB3nnnHfbu3cvkyZPrbHfw4MEMHjwYgL/+9a/NEqsQjREb5MWRLAPmahsR/q1fFVyIi5GeGQcqMpkxVFgcWvm3o7PZbFRVVfHlKxup/DmfCrMJfd8wOscPwmbNJeXMJmw2G0OHDm2W81VXV2O1WnFzqz3t1d3dnR07dgAwYsQI1q5dS1ZWFkoptmzZws8//8y4ceOaJQYhWsr55VZ2nyqk0tJyvZtCNJYkMw6ilOJ4jrHV1mLqCMrKykhKSiIpKQn4pXJwZmYmJpOJp556it27d5ORkcGBAwf4wx/+QFZWFgNiR2HIzWH0pJmMHzeeNz5YRMQoGwkzu/Pl3m8Z3P1aQkNDgZrKwfHx8ezdu9d+3tzcXJKSkmpVDk5KSqKoqOiCGL29vRk+fDjPP/882dnZWK1WPvroI3bt2kVOTg4A//znP+nZsyfh4eG4uLgwYcIEli5dau/JEaIti/D3YGi0P8dzjJzINTo6HCEASWYc5liOkX4Rvo4Oo13Zv38/CQkJJCQkADVjTxISEli4cCE6nY4TJ04wdepUunfvzqRJkygsLGT25P8j/fuD6IPDuO738Xzyn0+Ij49nzJgx3DTpJuKjBjJ10I0U59ZUCq6vcnBCQgIPPPAAUFM5OCEhod4xLh9++CFKKTp37oyrqytvvvkmd955J1ptzdvtn//8J7t372bt2rUcOHCAJ//2JPc/dD8DHo5i3MejsNrkF69o2zQaDQmRfgR5u/HTmRJHhyOE1JlxlL3pRQyJlvWAWtpbf9yIteonbn/6PsK6+dXaZrXY+H8P/wdPXy9mLL4JJ2dds57bZDJhNBoJDQ3ljjvuoKysjC+++AK9Xk9iYiI33ngj/znxHzZ++AJ71mZTWmZh0tQueN88iVtjb2VI6JA6242KimL27NnMnj27WeMV4nIcyChiYBf5LBOXR+rMtGNV1VZcZYG3VtG1fzBQzffvH6K0qGYmxvn8vaykEqUqGXvvyGZPZKBmMHJoaCjFxcVs2LCBm2++GYvFgsViQavVUlhRyFefvkC2v4bu/UfhHNCJYi9w++BrXv/okWaPR4iWEOTtRmZh+aV3FKIFyWwmBziSZSRBbjG1itF3x6OslaQdTOL9udn0GNGTYz8eZMDEazm59zQoK5Wm5i0GtmHDBpRSxMXFkZqaypNPPkl8fDz33nsvzs7OXHvttTz55JNYxpu4OV3Hbn0FeV+s5+rfD8SvrJgCH9j/RTbzi+azePFioKYI4LFjx+z/nZWVRVJSEl5eXsTGxjZr/EI0RoS/B4fPluBX6Yy3rN0kHES6BxzAXG1Dq5USVK3B3duFGx8dwvCp16OsJRzbsRetrhMHv9mKpbKQ4K5RxAwIunRDjWAwGHjkkUeIj49nxowZjBw5kg0bNuDsXPNBv2rVKgYPHkzGv87y2tpTlKwt4OlFT7Nm6XfETP8DZe7grQuxDxgGyM7Oto8XysnJ4dVXXyUhIYH777+/WWMX4nJ0D/bmbHGFo8MQV7BG9cwsW7aMZcuWcfr0aQB69erFwoULmThxIlAz6+PJJ59k48aNlJaWEhcXx9NPP83UqVMv2u7SpUt55ZVXyM3NpV+/fvzzn/9kyJC6xwu0d7mGSvw85ddLa4sbGkLSxlCu/d1VdB8Sgs1qQ6trmVx+2rRpTJs2rd7tISEhPPz3h9H77qXEE4q9NDw460E8nD1Y9+MKBhjgvcT3GBA8wH5MVFTURVcaF8KRXJ20lJTLcgftkVKKQpOZc6VVVFXbgLqrPZuqqhkeE4CmjVatb1QyEx4ezpIlS+jWrRtKKVauXMnNN9/MoUOH6NWrFzNmzKCkpIS1a9cSGBjIJ598wrRp0+yzUOry6aefMmfOHN5++22GDh3K66+/zvjx40lJSbmg9HxHcKa4nMFRMliutfkEuvPA678k1S2VyDRUZmkmZh1MvXcJeYYs/vbZQxz3NBCdpzgdrCHIo+P92xcdl0ajobOvO/tPF+HipCU60FNuObURlRYr2SUVGCur690nwNOF6EBP3OoZO6iUYvepojabyEAzzGby9/fnlVde4b777sPLy4tly5bx+9//3r49ICCAl156qd7u8KFDhzJ48GDeeqtm8UCbzUZERASzZs1qcKXT9jKbKTW/DFcnrVTPFBRXFjPr7yPRKnBSWkrdFHqTwiU2hldnrMLDWf6NiPbJYrWRUWgiz1hFvwhfvFxlaGZLKa20kGuoxFTP8izl5mr8PV0I83XHpwnJZfJZA9GdPFvk/2VzfX9fdmRWq5XPP/8ck8nE8OHDgZrKpp9++ik33ngjvr6+fPbZZ1RWVtrLtv+W2WzmwIEDzJ8/3/6aVqtl7Nix7Nq1q95zV1VVUVVVZX9uNLaPwk1FJrNMxxYA+Ln5Mf+xzzhaeJRhocPwc/OjylqFq85VEhnRrjnrtMQGeRMb5M2OkwWMiAmQMYKNZLMpisrN5BkrsVjr72/wcnUi1Ne9RRPGCrMVq1JtPiltdHTJyckMHz6cyspKvLy8SExMpGfPngB89tln3HHHHQQEBODk5ISHhweJiYn1zrYoKCjAarUSHBxc6/Xg4GBOnDhRbwyLFy/mueeea2zoDnU020CYr9uldxRXjF6BvegV2Mv+3BtvB0YjRPMbEu3PnvQihscEODqUNi3PWElWSQXa/93G0QD+ni7EBnnh6tT8ZSMa4/DZknbxI7zRAwfi4uJISkpiz549PPzww8ycOdM+ZXTBggWUlJTw/fffs3//fubMmcO0adNITk5u1qDnz5+PwWCwP86cOdOs7Te3AxlFhPi4Ee4nv7iFEFcOFyct3YO9OJ7TPnrPHcFmUxzNNjAg0o/+Eb70j/ClX4QvEf4eDk9ksksqCNW7t+mxMuc1umfGxcXF3tMycOBA9u3bxxtvvMHcuXN56623OHLkCL161fza7NevHz/88ANLly7l7bffvqCtwMBAdDodeXl5tV7Py8u76CrGrq6uuLq6NjZ0hzieYyRE706AV/uIVwghmlOAlyvGympSckuJC5Hex9/adaoQZwdPSKjPmaJyhnZtH71qTf4Lnl+V+PxaNufXnzlPp9Nhs9nqPNbFxYWBAweyadOmWu1t2rTJPg6nPTuSZUDv7kxnX3dHhyKEEA4THeiJh4uO/aeLqLbW/X1wJcosLCc2yIuru3VydCgXOJptoEdY251Q81uN6pmZP38+EydOJDIyktLSUj755BO2bt3Khg0biI+PJzY2lj/+8Y+8+uqrBAQEsGbNGjZu3Mi6devsbYwZM4YpU6bw6KOPAjWLBc6cOZNBgwYxZMgQXn/9dUwmE/fee2/zXmkrO5JlsI8iF0KIK12EvwfBPm4cyTZitSn8PV2ICvBoF7cwmoNSCkOFBU9XJ3tPTHG5uU0uOGyutlFpsTVpBlRra1Qyk5+fz4wZM8jJyUGv19O3b182bNjA9ddfD8A333zDX//6VyZNmkRZWRmxsbGsXLmSG264wd5GWloaBQUF9ud33HEH586dY+HCheTm5tK/f3/Wr19/waDg9kIpxaEzJYTq3QjVSyIjhBDnuThp6f+/L+8ik5mkMyXYVE2dk6hAzxY7b1W1lSNZNeN2nLQafj0/6LfVSVyctM028LasqpqTeaUoagb1+nm4kFlUTrVN4aTVUGmpe0q1oyWdKWFQF79L79iGyKrZzUgpxY7UAgZ18cfdxbEDt4QQor3IL60k/ZyJmCAvAptxfGG+sZIzxeU467T0DtM3aIp4pcVKcpahScVND58twWpTeLo6EdvJq87zVlVbySmpbNEk7nLkl1ZSWllNTCevVjmfw+vMiAvtOlXI4Cj/eqsoCiGEuFCQtxtB3m6czCslo9BEQoTfZdemUUrxc14ZpZUWgrzdGNilcUlJtU3h6355t1eUUuxJL6JnmM8lb9G4OunaXCIDkH7O1G4G/f6aJDPN5EiWgZ6hPpLICCHEZeoW7I252sa+00UE+bgR3Ygve6UUR7ONVFisxIV4E+d2eTOnTheYLmvWlVKKnWmFJET64uHSPr9aT+aVEhvUOj0yza19/sXbmL3pRQR5u+Lr4eLoUIQQol1zcdIytGsAecZK9qYXEdPJ86KlLWw2RXKWAbPVRq8wnyYnEtU2VedUaaUUJrOVaquNapvCZlNU2xTW/z3Or7vXXn/QKqUoLrfQLbh9Tp+XZKaJks8aLvlmE0II0TjBPm4E+7hxPMdIaWX1BbdkrDbFT2dLsNkUvTvrmy2JUEqRdKbE/lwD9gG8nq46nHVatBoNTjoNTloNrk5adFoNEf6B6Nrxsg3JWQb6husdHcZlk2SmCc4Wl1NaZSHAq/3+AxBCiLasR6gPR7IMFJZVEeDlisVq4/BZA6DoG+7b7AXnEiLb1yye5mKx2tptrxJIMnNZikxmqm02ikxmRsQEOjocIYTo0Hp31vPTmRIOZxnwdXemX7gepzZaNbc9+jmvlNig9nl76TxJZhqp2GTmZF4p7i46+ob7OjocIYS4IrTF4nIdhbHCQvd2OlbmPElmGuH8aPmR3aQ3RgghRPuXY6gg2MfN0WE0mfTTNcLhswYGtrOqiL+2fft2Jk2aRFhYGBqNhjVr1tTavnr1asaNG0dAQAAajYakpKRa24uKipg1axZxcXG4u7sTGRnJY489hsFguOh5L9WuEEIIx8gsLCfC38PRYTSZJDMNtHb99zx6z3RioiLqTASUUixcuJDQ0FDc3d0ZO3YsJ0+eBGrWuUgvMPHwE08zaMgwPDw88PX1bdB5mzMRMJlM9OvXj6VLl9a7feTIkbz00kt1bs/OziY7O5tXX32VI0eO8P7777N+/Xruu+++S573Yu0KIYRofSdyjR1mJXO5zdRAmXlFXDt8EHMe/SO33nrrBdtffvll3nzzTVauXEl0dDQLFixg/PjxrNu2lyqlI9jHDR8XDcPG3si1V1/F8uXLG3Te84nAtGnTeOCBB5p0DRMnTmTixIn1bv/9738PwOnTp+vc3rt3b7788kv785iYGF588UXuvvtuqqurcXKq+5/TpdoVQgjRuszVNkxV1g5TH02SmQaoMFvpNWwUD919W50j6JVSvP766zzzzDPcfPPNAHzwwQcEBweTuGYNT8+6H4DbHpzDgEg/PvxgZYPP3dYTgfPradSXyAghhGh79p0uYng7XLagPvINdAlWm2LXqQJGxwXVu1R9eno6ubm5jB07FqhJbvR6PT36DiDv5GEAMgpNuOi0tYoxtXcFBQU8//zzPPjgg44ORQghRANUW23sSS+ib3jDFt5sLySZuQSdVkMnLzcOZpZQYbbi6lzTM3PqXBlZJRUUm8zs/6lmbIyTpy8FZVUcyTJwKLOEqIgw8vLyAPD1cOFIxjn8dJUOu5bmZDQaufHGG+nZsyeLFi1ydDhCCHHFU0qx61QhTlotCZEXFhQsKKvi57xShnUNaNfViusiyUwD9AnXU2mx1qqOGB3oiZNWQ/dgb4z/m59fVW2loKyKUXFBjIoLYtd7v/xDMhWf4+dtr6LTVVBZGdfq13A5TCYTs2fPJjExkfz8fBISEnjjjTeIj49nwoQJ7N27FwAXl9r3XF9++WWefPLJett97LHHSE1NJScnh8TERG655ZaWvAwhhLgiHMwsYUCkH846LYfPlgDY7yjYlMLHzanDFnqVZKaBflvmWaPR2Ofmh4SEAKCrKiU+JMa+T15eHv379wdqxry4uZVgsbjy00/rsFjMrRN4Ezz33HNkZWXx4YcfEhYWxocffsiYMWPoEhOLv96HtLQ0PDx+mdL37bffct999zF16tSLttu9e3cef/zxOgdSCyGEaLwcQwV+Hs7276orbVkGmZrdDKKjowkJCWHTpk3214xGI3v27GH48OEAFBvyqa52oW/f32M2e1CzdFnrKisrIykpyT69Oz09naSkJDIzM4GaOjJJSUkcO3YMgO+//56HHnqI7t274x4eydu9R1NqtnDs1GmO3/ooL2YUYFM119GpUye++uorRo8ezQ033EBiYqL9vL9t9/rrryc6OroVr1wIITouq02RUVhO105ejg7FYaRnpoHKyspITU21Pz+fCPj7+xMZGcns2bN54YUX6Natm31qdlhYmP0WSqnRSGFhFYcO7aOiIheNRmdPKmJjY/HyqvlHGB8fz+LFi5kyZQpQkwhkZmaSnZ0NQEpKClDTG3S+R6ih9u/fz+jRo+3P58yZA8DMmTN5//33Wbt2Lffee699u1KKxx57jMLCQqp+dz/W/YehqhJbVSXn/nw7/wb+/b999+7dy3//+19WrlzJXXfdVauQ3m/bnT59eqPiFkIIUb+DmcUMascFXZuF6gAMBoMClMFgaLFzbNmyRVHTnVLrMXPmTKWUUjabTS1YsEAFBwcrV1dXNWbMGJWSkmI//quvEtWQId3rbGPLli32/QC1YsUK+/MVK1bUecyzzz7bYtd63vDhw9W1116rsrKy1LqcQuX70AKFVqt0IRHq0eR0ZbRU2/d96aWXlJ+fn6qoqGhw+4BKTExsgciFEOLKkFFgUmeKTI4O47I11/e3RinV+vc7mpnRaESv19trnrQ1u3btYv/+9/APHIHe24/09P/yyCP/Qqtt23f50tLS+MMf/sD27dvR6XRoI7ujC4vAJ/cUuSd/rjVVPT4+nuuvv55//vOf7DhZQHpBGTf0CSXAy7Xe9jUajQwAFkKIJjiQUdyul9lpru/vtv1t2gEYKy2kZZ3DybkKf98wLBYtLq7lbNz4taNDu6SYmBi2bdtGWVkZmZmZfLRzB1cHeTMornutROaHH34gJSWFO38/k9c3prByxVJOrvsHf/tshwOjF0KIjq2q2opLHYVcr0TyV2hhP54sYNg1o3HxvYlTpz7lzJl1WKu706vXQEeH1mCenp6EhYVxvauGvZu/t1c5Pu/d9/5FSExP7kvMJHvrewT1vJrttr4cOpnhoIiFEKLjO5ptpFdY27sb4QgyALiFuTnrcNHpmHbLbeRkDsTLy4uwsDBHh9UgGzZsQClFXFwcqampPPnkk8THx9cazGs0Gvn8888ZN2owwZpk4q6/n9uGxDDv2DaqcOa668Zw661TePTRR4FLD6QWQgjRcB2pim9TSM9MC4sP9cbTVcfhswYio2PaTSIDNesuPfLII8THxzNjxgxGjhzJhg0bcHZ2tu+zatUqtBpw7zGKQ7ZujO8XybRlP9BXe4qJt87k1Kk0CgoK7Pvv37+fhIQEEhISgJoZVQkJCSxcuLDVr08IIdqr9AITYXp3R4fRZsgA4FailGLf6WKGRPs7OpQWcdVf3+dup+85O3AeefsSOaEi+eSJaUQGeFz6YCGEEA1WbbWRdKaEQVHt//tEBgC3MxqNBl8PZ07kGh0dSosYEulNWueb2bl3D9Xo+PbZuySREUKIFnA8p5Q+4XpHh9GmSDLTiroHe+Pl6kR6gcnRoTSrgrIqqs8e5MsMN6brNuOEFVcn3aUPFEII0WhV1fIZ+1uSzLSyc6VVBHi5XHrHdiTQyxX3nuP5vW4jH1vHctfMh3Bxkn9aQgjR3DILy4n0l17v35LZTK3EUGEhNb+UTl5u+Lg5X/qAduavU4bxXfcoFgwMv2DZeSGEEM0jr7SSwR1grExzk2SmFaQXmCgpNzOwS8f9B+jv6cL0ITK1WgghWoqhwoKve8f7Mdwc5Cd0K/D3dMG7A/bGCCGEaD1p58qIDbpyV8a+GElmWkFqfpnc4xRCCNEkWo2m1lIy4heSzLSwY9lGgrxdZUCsEEKIJukAZeFajHzDtjA3Zy3y708IIURT2GwK+SqpnyQzLSy/tEqKxwkhhGiSQ2eK6dNZCuXVR5KZFia3l4QQQjSFocKCh4uTlL24CPnLtDAPFx0l5WZHhyGEEKKdOnWujPgQb0eH0aZJMtPC4kN8SMktdXQYQrR727dvZ9KkSYSFhaHRaFizZo19m8ViYd68efTp0wdPT0/CwsKYMWMG2dnZdbZVUVFB37590Wg0JCUl1XvOoqIiZs2aRVxcHO7u7kRGRvLYY49hMBia+eqEuDiZxXRxksy0gnB/D84UlTs6DCHaNZPJRL9+/Vi6dOkF28rLyzl48CALFizg4MGDrF69mpSUFCZPnlxrvwPHk5j79f9j8JSxnHWr+firrKys95zZ2dlkZ2fz6quvcuTIEd5//33Wr1/Pfffd17wXJ8RFmKttjg6hzZMKwK2gs687e04VEiG1ZoS4bBMnTmTixIl1btPr9WzcuLHWayPvGMc//vICycnJ9OnTB6UU/+/kDlIOHOPM0TRuu/tW/r3vJywWS73n7N27N19++aX9eUxMDC+++CJ333031dXVODnJR6hoefGhNT38cXKrqV7yTmwlPcJ8OJptoFeYjEYXoqWt27mBj6yBoNHwRMo2xh/ezja9M76Z2SQt/YQt325Ep9Px7yXLWLznK74vOcLc62bg6el5ybYNBgM+Pj6SyIhWo3d35tS5MkeH0abJbaZW4uPmTIXZSrVVuguFaGnvZx3F+N5bDBk2mBvdPPkyKJh97gl89cF6YsdfRUJCAv7+NWuldXF25QcXH77bv+WS7RYUFPD888/z4IMPtvQlCFGLVsbMXJQkM62of4Qvh86UODoMIToko9FIRUUFFouF4y+vxNlmpnj+09zSdwxfJYzi0T0bCauoYtObH9TqVbnvqil0rixib8npS7Z/44030rNnTxYtWtSi1yLEb0nBvIuTftJW5KTT4uGiw1BhQS8rnwrRLEwmE/O++xfHPQJQFgs/v/gGJYUlDHjpr0Sa0wgKGoebmxt79+4l5dgJgoODax0/bNgwgkcNZeqdE6iqqsLV1fWCc5SWljJhwgS8vb1JTEzE2Vnev6J1yVIGFyc9M62sV5ieEzlGR4chRIexcc8Wkj2DecYtHP7xIbbsAla+/hr/nXA3KyY/ipubGwBvvvkmP/30E0lJSSQlJfHNN98A8Omnn3LHHRPZ2aUfd25cgc1W+1aw0Whk3LhxuLi4sHbtWnt7QrSWgrIqfOQH8EVJz0wrq6q2UmGxOjoMIdqdsrIyUlNT7c/T09NJSkrih4xk3AMCeOkf73P02FF6PXU/HxccZahhCGVlZQQEBODi4kJkZGSt9ry8vICaGUpTpkxh46aNzC1zJbprNJ9/9jlDhgyxJzLl5eV89NFHGI1GjMaaHyOdOnVCp9O13h9AXLF+zitlREygo8No0xrVM7Ns2TL69u2Lj48PPj4+DB8+nG+//RaA06dPo/nf8uS/fXz++ef1tnnPPfdcsP+ECROadlVtlFKKPaeKuLZ7J0eHIkS7s3//fhISEkhISABgzpw5JCQkcOrrvRSXVLJhwwby8/LZ8ue/k3jfQiIiIggLC2P79u2XbFur1XLt1dfiX5FPZkYm5eU1daEOHjzInj17SE5OJjY2ltDQUPvjzJkzLXq9QgD8dKaEXqEyC/ZSNKoRN+K+/vprdDod3bp1QynFypUreeWVVzh06BDx8fGcO3eu1v7vvvsur7zyCjk5OfZfQb91zz33kJeXx4oVK+yvubq64ufn1+CLMBqN6PV6+5TJtmpvehF9w/W4OcuvOSGaU3FxMcXFxQQEBKDX60n8YR2HTh3nh5DOfDX8pot+LlitVo4eP0pwp2BuPfwDtxTk8eSdj7Ri9ELULaPQhFaj6dA1yprr+7tRt5kmTZpU6/mLL77IsmXL2L17N7169SIkJKTW9sTERKZNm1ZvInOeq6vrBcd2NElnSojp5CmJjBAtwM/Pr9YPoClX30T/8F7sTNlx0aJ4ABkZGdyQX8X1xz5A49sFV/2la80I0dKUUuQaKhnaNcDRobQLlz0A2Gq1smrVKkwmE8OHD79g+4EDB0hKSmpQ2e+tW7cSFBREXFwcDz/8MIWFhRfdv6qqyn7v+tf3sNuqCrMVJ62GAK8LZ0kIIVqGt7c3Vo2OzOyL3w7KLsyhh/k4Jlc38pyCuXPwja0UoRD1SzpTQr8IX0eH0W40OplJTk7Gy8sLV1dXHnroIRITE+nZs+cF+y1fvpwePXowYsSIi7Y3YcIEPvjgAzZt2sRLL73Etm3bmDhxIlZr/YNkFy9ejF6vtz8iIiIaexmt6niukV5hbff2lxAdUUBAAF3L8/nq9O6L7rcl/ygxZgMrx91PYkgAnTrJmDbhWGVV1TjrtNKT3wiNTmbi4uJISkpiz549PPzww8ycOZNjx47V2qeiooJPPvmkQb0y06dPZ/LkyfTp04dbbrmFdevWsW/fPrZu3VrvMfPnz8dgMNgfbXkgnlIKc7VNVjwVopVpNBqu9+3CYa3moj+OztkshOtccXd3p3fP3q0YoRB1S8ktpXdnGfTbGI1OZlxcXIiNjWXgwIEsXryYfv368cYbb9Ta54svvqC8vJwZM2Y0OqCuXbsSGBhYawrmb7m6utpnVJ1/tFUHM0tIiPR1dBhCXJGuiRtKgbMvx38+Ue8+XmgotVW3YlRC1K9mTo4UyGusJhfNs9lsVFVV1Xpt+fLlTJ48+bK6a8+ePUthYSGhoaFNDa3NcHWSrkIhHCEsLIxuFfm8d3wjZ8+eBWoWiszMzKS6uiaB8dI5Y1KyZppoG45mG+kpU7EbrVGzmebPn8/EiROJjIyktLSUTz75hK1bt7Jhwwb7PqmpqWzfvt1eXfO34uPjWbx4MVOmTKGsrIznnnuOqVOnEhISQlpaGnPnziU2Npbx48c37cragNT8MroGyswIIRzpqf438OTh75h04idiDn5Fgas/+U6d6PnTfxmEDi+lwyi3gUUbYbHacHeRH8CN1ahkJj8/nxkzZpCTk4Ner6dv375s2LCB66+/3r7Pv//9b8LDwxk3blydbaSkpGAwGADQ6XQcPnyYlStXUlJSQlhYGOPGjeP555+vc32U9qa43Exs0MWnpQshWlZMlxiW+0znka0f4G6t5j7fAALdfTlOIP+tKKBcq8Wi9cBms6HVygovwrFkfOXlaVTRvLaqLRbNSy8w4eqkJczX3dGhCCGoGYvw2y+KsrIynt24nFKthndvfsxBkQlRw2pTHMkyXFFTsh1SNE80THqBiWqrjWi5xSREm1HXL14vLy9euXkWZrPZAREJUdvPeaV0D/Z2dBjtkvSpNrOCsipMVdV0k3+QQrQLWq1WVsIWbUJVtYyXuVySzDSzlNxSKZAnhBCi0SxWmVV3uSSZaWYDu/jxY2ohHWAokhBCiFaSa6gkyLv9T3xxFElmmpmbs45BUX4czCzm8NkSSWqEEEJclM2mOFVQRpcAGWd5uWQAcAtwc9YxsIs/lRYrBzKKcXXS0buzj0y5E0IIcYEDmcUMifJ3dBjtmiQzLaiml8afCrOV/RnFuElSI4QQ4lfyjZUEeLrgpJMbJU0hf71W4O6iY3CUPzFBnuzPKCb5rEFuPwkhhOBUgYmunaS4alNJMtME27dvZ9KkSYSFhaHRaFizZo19m8ViYd68efTp0wdPT0/CwsJ46P4/0NmlktggL/Zn1IypiYqKQqPR1HosWbLkoud99913GTVqFD4+Nb08JSUlLXuhQnQAF3u/AqxevZpx48YREBCARqMhKSnpgjYu5723ePFiBg8ejLe3N0FBQdxyyy2kpKQ0z0WJds/FSb6Gm4P8FZvAZDLRr18/li5desG28vJyDh48yIIFCzh48CCrV68mJSWFyZMnc660iuySCqptNb0zf/vb38jJybE/Zs2addHzlpeXM2HCBJ566qkWuS4hOqKLvV/Pbx85ciQvvfRSvW1czntv27ZtPPLII+zevZuNGzdisVgYN24cJpOp0dcgOh6dDDtoHqoDMBgMClAGg8FhMQAqMTHxovvs3btXASojI0PtTC1QSinVpUsX9dprr13WObds2aIAVVxcfFnHC3Glutj7NT09XQHq0KFD9R7flPdefn6+AtS2bdsafexvbdu2Td10000qNDS0zmt69tlnVVxcnPLw8FC+vr5qzJgxavfu3bX2eeGFF9Tw4cOVu7u70uv1lzyn2WxWc+fOVb1791YeHh4qNDRU/f73v1dZWVlNvp4r0aHMYkeH4FDN9f0tPTOtyGAwoNFomP35EZJO59tfX7JkCQEBASQkJPDKK69QXV3twCiFaH8udQtJKcXChQsJDQ3F3b1mvbTs7Oxa+xQVFXHXXXfRu3dvABYtWkRZWdlFzzt37lzi4uJwd3cnMjKSxx57zL6Qbn3Ob/f3b/rslUv1NnXv3p233nqL5ORkduzYQVRUFOPGjePcuXP2fcxmM7fffjsPP/xwg855sV5n0TiFZVXo3Z0dHUbH0Dy5lWO1h56ZiooKFd+7n+rSs7+aM3+umjn/ebVqb4Z66eVX1NKP16g/vbZKLV36/5Svr696/PHHG3RO6ZkRosY333yjnn76abV69eo634tLlixRer1erVmzRv30008KUEFBQaqiosK+z4QJE1S/fv3sbURERKg777yzzvOdf+/ddNNNau3atSo1NVVt2rRJdevWTU2dOrXeOK1Wq7rxxhvVVVdd1SzX/WuX+gxS6pfPyu+///6CbStWrGhQz0xdft3rLBpub3qho0NwuOb6/pap2a3AYrEwbdo0ys3VXHvTZLqPv4/M797iyJr/I0cFEFDyA9GUkOQ1iPv+spA3npvL4sWLcXWVapBCNMTEiROZOHFinduUUrz++us888wz3HzzzfbXi4qKWLNmDdOnT+f48eOsX7+effv2ERgYCMC8efOYNWsWr7z8Cp3DO9uPMxeVU3YiD4APP/wQX19fAGJiYnjxxRe5++67qa6uxsnpwo/XRx55hCNHjrBjx47muvQGM5vNvPvuu+j1evr169esbZ/vdT7/txCXdiLXSLC3rAnWXCSZaWHnE5mMjAy+2/Adz7/3MUknfiZ6xH2cNVpwsVopKC9D6wnpR1IILDhBdXU1p0+fJi4uztHhC9Hupaenk5uby9ixY2u93r17d3bt2sX06dPZtWsXvr6+DBo0iNOnTwMwdOhQtFot/++l6dzUewqe/iFkF29BE/UDKeVGAKoLK+BXX+AGgwEfH586E5lHH32UdevWsX37dsLDw1vsen9r3bp1TJ8+nfLyckJDQ9m4cSP+HnrSv91KaN/+uHX2vWQbF1NZWcm8efO488478fGRdekupcJs5dCZYuJDfPD3dHF0OB2GJDMt6Hwic/LkSbZs2YKHjx8uqpKSjGRm3zf+gil5xaYR9J+ejEajYXe2BcllhGi63NxcAIKDg2u97uvra9+Wm5tLUFBQre0atPj5+FKmO0Gx00+UlB/FpToAfp6M89li4F/8kPg3bn7sLbQuOgoKCnj++ed58MEHa7WjlGLWrFkkJiaydetWoqOjW+5i6zB69GiSkpIoKCjgvffeY9q0abz08HUEDNpK1vf3MXLm5c+KPP8Zp5Ri2bJlzRh1x6SU4kBGMVfFBkjx1GYmyUwTlJWVkZqaan+enp5OUlIS/v7+hIaGctttt3Hw4EHWrVuH1WqluCCf3cYgrvHMYNayNYyP9SUz5TCjR4/G29ubXbt2Ydr9KbG9+nLknAWArKwsxowZwwcffMCQIUOAmg/e3Nxc+7mTk5Px9vYmMjKyWQYVCtERmUymWrVjTCYTxcXFZGZmAmC1WklKSuLQD0cB2PDx91ixYcyMhb4w4a73yCvIJzc3Fw+3/cC/SCk7yCevPMPIu/7IHXfcQc+ePdm1axdvvfUWjz76KFBza+mTTz7hq6++wtvb255A6fV6+2DkluTp6UlsbCyxsbEMGzaMbt26sXlrFrf0dafcbRtW41/QejiT/9NRlNXa4HZ/3eu8efNm6ZVpgP0ZxQyK8pNEpgVIMtME+/fvZ/To0fbnc+bMAWDmzJksWrSItWvXAtC/f/9ax934xse4525lo/UaDq1axaJFi6isrALvTsT1GsQ3VyXzbFkFUPOBkZKSQnl5uf34t99+m+eee87+/JprrgFgxYoV3HPPPS1xqUK0WyEhIQBs3bqVBx54wP76Tz/9BMAj98yib2w/ss5kkZCQYN/+9OvzACjI8cbm/zPKbL3gvTf/ub3AXmJWfE5UVBSJiYnEx8dTUFBg3+d8j8WoUaNqxeWo96vNZiOo32Bsthx0Xnn8/Ok35FkPkcMqrLaqBrXx217ngICAFo66/UvNLyPczx03Z52jQ+mQJJlpglGjRl10WYK6tr34+XZSD23HG2/umHgNy2bfxolcI//65wuEUMQWWwJTrXeyfvogAKKioi5oZ9GiRSxatKhZr0WIjio6OpqQkBAMhl+WETEajQQFBXHftY8wP+EWtp/dTaW5kvenv4inbxQBOht7so7w1Fcvs/D+WRi8n8BSUMGzC57lL7c8wPbDf0Hj/zPm9CG89HESrm5urF27Fjc3N/uYm/Mu9hnRVBfrHQ4ICODFF19k8uTJhIaGUlBQwNKlS8nKyqKHqsbZpRxLpTeHvGZTfHwQ1Skjsdk+58CP+9B5OhMbG4uXV02Z/fj4eBYvXsyUKVOwWCwX9Dqf723y9/fHxUXGgfxWSbmZSouV2CBZtqClSJ2ZVlZpUXhTwWkVzNrtezl8toSYTl6EXHMfx1Uk90ydzO4lM/D1kA8EIRqqrKyMpKQk+22k81/qmZmZNbWdZs/mhRdeYO3atSQnJzNjxgzCwsIYEtkfgArP7oyMGsDzW5eTU3mGn/JP8t5PXzB9+nR6DRpBZWkgez5YTVTnYN5dfxNeVfH08vyAJR8nYSovZ/ny5RiNRvstYGsjbtc0xf79+0lISLD3KM2ZM4eEhAQWLlyITqfjxIkTTJ06le7duzNp0iQKCwv54Ycf8Bq4h8qCWMb03Uriil48+vxq3vp2FRWVVgaNHEJCQgL79++3nyclJcVeHycrK4u1a9dy9uxZ+vfvT2hoqP2xc+fOVrnu9ibtnInenfWODqNDk56ZVvbc9Gt47gsXjBmncT29mf/+1JW+4b5EB3oSpD3M3C+SuH1QhKPDFKJdudgt3/fff5+5c+diMpl48MEHKSkpYeTIkaxfv54u4dEceWoNY307MfDDVSx5ayHzPl6E1knHtOnTePPNN8n8ZgvugedIj3iBzLxzxAW+ybX3T2fr1q3s2bMHgNjY2FrxpKenExUV1eLXfane4dWrV9f5+o4TY6mqLsQl3JvPv/sGgKyNBzhcPZO+HivpfO3AWvv/+hx19RaLi7PJ36vFaVQH+FdpNBrR6/X2aZFtXWp+GX9+ey3dKpOZ9PvZjOkRzPEcI+/+8++onjfz+t3DHR2iEFeMI9uzKP9yB/ELJ+Pt78bOP/8Hz4mD6D+xOwDZuw9yNnUnfUfPwGIw4d0z1MERN13ZyTy2/HQn3qUjCPEfikarxV3jS1raN1h6fsEQ/w34DoxydJgdws95pQR5u0pvez2a6/tbemZaWUm5mbmvvUekphgNio83/Ej34An88f+tY4TGwm0jZT62EK3J1V1LOZCZnE/h0dP46Fzx8P9lbEPYsAGEDRsAgFvntv9jqSG8ugUzonQZR498yinDKpQGlLYcFVyJNisB17iOcZ1tQbHJTPdgb0eH0eFJMtPKvjhwljG6g2y19ueIiqJP3inuXLqZ4bZD9Jk0i4Fd/BwdohBXFHcfNzQuvhjX7MOmqiiO6ETfgSGODqvFBQyI45oBC2u9pqwKjU6mDTen39YTEy1DkplWNiTan2Wht/Pm3dez5cQ5Dq3dTXRlLk59buWuYVGODk+IK06nCC92dtYR3C+BAaNjHB2OQ0ki0/ykpkzrkDEzDrb+SC7/WbeeuTOm0CtMRrsLIURHciizmIRI6XGvj4yZ6SAm9A4hptNUgvWy4JgQQnQk1Vabo0O4YsjNvDYg1NedXEOlo8MQQgjRjJKzDPSR+jKtQpKZNqDYZOZcaRVHsgyODkUIIUQzsSlw0snXbGuQv3IbEOHvwVWxgbg56zhbXH7pA4QQQrRpNptCp5XBv61Fkpk2ItdQSb6xEj8prCSEEO3eoTMl9AxtXxNS2jMZANxGZBSaGB4TINP4hBCinSsymfF01UmNmVYkf+k2wGZTaDQaSWSEEKIDSMktJT5EemVakyQzbYCx0kKQt6ujwxBCCNFEyWcN9O4gy160J5LMtAEFZWYCvGSsjBBCtGeGcgtaLXi7OTs6lCuOJDNtgKmqGi9XGb4khBDtVWmlhRO5Rqnk7iCSzLQBClm/Qwgh2iuL1UbyWQNDuwY4OpQrlnQHtAEaQCklCY0QQrQjSilS8kopNlkYJomMQ0nPTBsQH+rNgYxiMgpNjg5FCCFEA/101kCo3p3hMQFopUCeQ0ky0wa4OukYFOVPhcXKybxSR4cjhBDiEkorLeg0GvTuMti3LZBkpg2JD/GhtKra0WEIIYS4iEqLtWYRyXAZ7NtWyJiZNsZZq6XaapPFyYQQog06W1zOmaIKhssYmTZFvjHbmO4hXuw+VUS+sdLRoQghhPiVI1kGNBqNLD3TBkky08a4OukY2S2QM8UVjg5FCCHE/2QUmnBz1tHZ193RoYg6SDLTBu1MK8DbTe4ACiFEW1BttZFnrCI2yMvRoYh6yDdmG9TZ1x1XJ52jwxBCCAH8nFdGn84y2Lctk56ZNkYpRZC3G0Ums6NDEUIIAVRWW3F3kR+YbVmjkplly5bRt29ffHx88PHxYfjw4Xz77bcAnD59Go1GU+fj888/r7dNpRQLFy4kNDQUd3d3xo4dy8mTJ5t2Ve1UeoGJPelFrNqXSXyIt6PDEUIIIdqFRiUz4eHhLFmyhAMHDrB//36uu+46br75Zo4ePUpERAQ5OTm1Hs899xxeXl5MnDix3jZffvll3nzzTd5++2327NmDp6cn48ePp7LyypvNU1ZZjdWmuPeqaKkmKYQQbYDNptDKzKU2T6OUUk1pwN/fn1deeYX77rvvgm0JCQkMGDCA5cuX13msUoqwsDD+8pe/8MQTTwBgMBgIDg7m/fffZ/r06Q2KwWg0otfrMRgM+Pj4XP7FOFh2SQXmahtRgZ6ODkUIIQSQml9KkI8bPm5S6bclNNf392WPmbFaraxatQqTycTw4cMv2H7gwAGSkpLqTHLOS09PJzc3l7Fjx9pf0+v1DB06lF27dtV7XFVVFUajsdajI8gvrSLC38PRYQghhPif0spqSWTagUYnM8nJyXh5eeHq6spDDz1EYmIiPXv2vGC/5cuX06NHD0aMGFFvW7m5uQAEBwfXej04ONi+rS6LFy9Gr9fbHxEREY29jDZJKYVOq8FcbeO/h3McHY4QQlzxmnTrQrSaRiczcXFxJCUlsWfPHh5++GFmzpzJsWPHau1TUVHBJ598ctFemaaYP38+BoPB/jhz5kyLnKe1KaDcXM2n+8/g7iITzYQQwpFkvEz70eg6My4uLsTGxgIwcOBA9u3bxxtvvME777xj3+eLL76gvLycGTNmXLStkJAQAPLy8ggNDbW/npeXR//+/es9ztXVFVdX18aG3uZVWxXrj+QytkcQ+cYqR4cjhBBXtJ/zS+kmhfLahSb//LfZbFRV1f7iXb58OZMnT6ZTp04XPTY6OpqQkBA2bdpkf81oNLJnz546x+F0dEOi/ekf4Uuo3h1b08ZlCyGEaKJysxVPV6kt2x406v/S/PnzmThxIpGRkZSWlvLJJ5+wdetWNmzYYN8nNTWV7du3880339TZRnx8PIsXL2bKlCloNBpmz57NCy+8QLdu3YiOjmbBggWEhYVxyy23NOnC2quunbzIL61E7y4DzoQQQoiGaFQyk5+fz4wZM8jJyUGv19O3b182bNjA9ddfb9/n3//+N+Hh4YwbN67ONlJSUjAYDPbnc+fOxWQy8eCDD1JSUsLIkSNZv349bm5ul3lJ7V9mYTkDu/g5OgwhhLhiGSsteEuvTLvR5DozbUFHqTNzXoXZStq5MnrLWiBCCOEQBzOLSYjwRSMDgFuUw+vMiJbj7qKjrKra0WEIIcQVy9PFiXKz1dFhiAaSZKaNivT3ILukwtFhCCHEFSmmkyenzpkcHYZoIElm2qhQvRv5pTI9WwghHMFJp8Xa/kdhXDFkdFMbZTJb2ZqST76xkjBfd3qF+ci9WyGEaEUdYEjpFUN6ZtooL1cnZo/tzrheIQT5uJJ4KItKi9y/FUIIIX5Lkpl2IMjbjVv6d+ZodsdYUFMIIdqDQC9X8ksrHR2GaABJZtoJjaZm3SYhhBCtI9zPnewSSWbaA0lm2gmNRoOzTiv3cIUQopVoNBr5zG0nJJlpJ5RSWG3qsgcB24oysKSsb+aohBBCCMeT2UztgLHSQvJZw+UvcWCp4JuHxqAx6bjxvynNG5wQQnRgGo0Gm02h1cps0rZMembauKySCtLyy7gqNhA3Z91ltXH0nXuIOeyMR5S8GYUQojGiAjzIKCp3dBjiEqRnpg07V1pFsclMQmQje2SUgrwjoHWiaOP/cWZtEtXdFd0HXtsygQohRAfl6+FCeoEJ8HR0KOIiJJlpowwVFtLOlTGsa0DDD7JZsaZtZdv/mwf7y3Cv0FDhrggZH0T2j/lEJYxpuYCFEEIIB5Fkpg06da6MqmpbwxMZpSj8/h/s+fjf6M5Y0XRzZeSz92B188U7bjS24kxydjyKS+Tglg1cCCGEcABJZtqgo9lGRsQ0vEemcOOrHFiynMDRnRn0zNNou44C7S/DofJ3foTVA/CLbv5ghRCig3Nx0lJVbcXV6fLGLYqWJ8lMG3RT31Ayi8rJ/NWgs0jDQayZPxLYdRBblj1DRV4ZviFaXF005B+30fn6cPr/9fua6nq/cfrwHlzDvGolOEIIIRomppMXqfll9ArTOzoUUQ9JZtogjUZDlwBPugTUDDhTRen8d9af0FgVOvPHqHAnwhKiyT5wiphkJwqioP+9r9eZyAAUn84htE9c612AEEJ0IG7OOszVNkeHIS5Cfqq3YUuWLEGj0XDHDdeAt5YbP9tNYmgCj26t4KrntnPvliIe0hbRZe4LENKnzjYs5UaWb8virjd34unpSVhYGDNmzCA7O7uVr0YIIYRoGZLMtFH79u3jnXfeoW/fvpgNRtxcK8DDn4FXXceK99/n+PHjbPhuI/rYoUy45y9YrXWvqF2ecYi0kiqenfsYBw8eZPXq1aSkpDB58uRWviIhGm779u1MmjSJsLAwNBoNa9asqbVdKcXChQsJDQ3F3d2dsWPHcvLkyVr7TJ48mcjISNzc3AgNDeX3v//9JZP4d999l1GjRuHj44NGo6GkpKSZr0y0V5dbfV20Dklm2qCysjLuuusu3lv6Bn7OFlSllspCF7DZePDBB7nmmmuIiopiwIABvPDCC5w5c4bTp0/X2ZYmL4kXhndm2n1/Ji4ujmHDhvHWW29x4MABMjMzW/fChGggk8lEv379WLp0aZ3bX375Zd58803efvtt9uzZg6enJ+PHj6ey8pdFAUePHs1nn31GSkoKX375JWlpadx2220XPW95eTkTJkzgqaeeatbrgeZJ0AD++9//MnToUNzd3fHz8+OWW26p95wWi4V58+bRp08f6ZltIm83JwzlFkeHIeqjOgCDwaAAZTAYHB1Ks5gxY4aa9fub1de3xKrB7u7q5khfpTL3XrBfWVmZmj17toqOjlZVVVV1tnXoH7eqb/7Qu9ZrGzduVBqNpsP8vUTHBqjExET7c5vNpkJCQtQrr7xif62kpES5urqq//znP/W289VXXymNRqPMZvMlz7llyxYFqOLi4qaEXss333yjnn76abV69eoLrkkppZYsWaL0er1as2aN+umnn9TkyZNVdHS0qqiosO/zxRdfKD8/P7Vs2TKVkpKijh49qj799NN6z1lSUqLGjh2rPv30U3XixAm1a9cuNWTIEDVw4MBmu64rhdVqU4cyix0dRofTXN/fksy0Mf/5z39U7/hY9eWNMWrdnV3ViLhA9eeH76+1z9KlS5Wnp6cCVFxcnEpNTa23vQ2PJKhdz4+zP6+oqFADBgxQv/vd71rsGoRoTr/94k9LS1OAOnToUK39rrnmGvXYY4/V2UZhYaGaNm2auuqqqxp0zpZIZn7tchI0i8WiOnfurP71r3816dx79+5VgMrIyGhSO1eigxlFjg6hw2mu72+5zdSGnDlzhj//+c+8P/cWeqQ6oy10oizXhK2ipNZ+d911F4cOHWLbtm10796dadOm1epet7NZMWebiO47FKjpcp42bRpKKZYtW9YKVyRE88vNzQUgODi41uvBwcH2befNmzcPT09PAgICyMzM5Kuvvmq1OBsjPT2d3Nxcxo4da39Nr9czdOhQdu3aBcDBgwfJyspCq9WSkJBAaGgoEydO5MiRI406l8FgQKPR4Ovr25yXcEWwKUdHIOojyUwbcuDAAfLz8xn6wGv0ST3JpI0/c9hQwVsrv8TJyck+yFev19OtWzeuueYavvjiC06cOEFiYuKFDRadQlcOnXqOsicyGRkZbNy4ER8fn1a+OiFa35NPPsmhQ4f47rvv0Ol0zJgxA6Xa3jdSQxK0U6dOAbBo0SKeeeYZ1q1bh5+fH6NGjaKoqKhB56msrGTevHnceeed8hlwGfw9XSgymR0dhqiDJDNtyJgxY0hOTiYpKYmk9R/x5lVd6N+tM3fddRdJSUnodBdWn1Q1twqpqqq6YJv5zH6UBqyBPZk2bRonT57k+++/JyCgEes9CdHGhISEAJCXl1fr9by8vJptSoHNCtlJBDqV47bjEcaGlrJq1Sq++eYbdu/e7Yiwm8xmq6lz8vTTTzN16lQGDhzIihUr0Gg0fP7555c8Xnpmmy460JPThSZHhyHqIMlMG+Lt7U3v3r3p3bs3FWv/wuhz7rg7awjwcad3796cOnWKxYsX22ci7dy5k9tvvx13d3duuOEGezvx8fEkJiaSfnATFj8Nt838I/v37+fjjz/GarWSm5tLbm4uZrP8whDtT3R0NCEhIWzatMn+mtFoZM+ePQzvEc6ZFwPZ8UoYX388kW3vDGZLyXGyNj5lTwbqSvwd7VIJms1WjUWXAcCugjWcSF+FUjZcXV3p2rXrJWcmSs9s82mDHXsCSWbarAFzvsBwI5TmFZK+4XPIO4qbmxs//PADN9xwA7Gxsdxxxx14e3uzc+dOgoKC7MempKRgMBjIOXGMSr03a9eu5ezZs/Tv35/Q0FD7Y+fOnQ68QiHqV1ZWVtNDmZQE1IwpSUpKIjMzE41Gw+zZs3nhhRdYu3YtycnJzJgxg7CwMG6pWMV6Tw+cK3qRcWYg+oA7oMDM4RQTd955JzExMQwfPhyArKws4uPj2bt3r/28ubm5JCUlkZqaCmDvKW3obZzLdbEEbejQwdzznyX87Vg0Gidn1v7QjQnveLN63yuYzVWcPn2aLl261Nv2+URGemabR6jejeySCkeHIX6r6WORHa8jzWa6QOpm9c347krlJDf60K+nx6uTKx9ugaCEaFnnZxP99jFz5kylVM3snwULFqjg4GDl6uqqxowZo1JSUpRKWqW2LQlSh3/4Ro0ePVr5++mVixMq1E+rHnroIXX27Fn7OdLT0xWgtmzZYn/t2WefrfO8K1asaPI1lZaWqkOHDqlDhw4pQP3jH/9Qhw4dss8qWrJkifL19VVfffWVOnz4sLr55ptVdHS0Kiw8obr9/Sv18fa56s9//rMKDvFXoTOfU2H3v61mzJiqgoKCVFHRL7Ns4uLi1OrVq5VSSpnNZjV58mQVHh6ukpKSVE5Ojv1RXzkHcWn7Txc6OoQOQ6Zm/0pHTmbKd/5Lrbuhu1JVpsYdaMxV/53QXVl++rJlAhOiLSrNVz8sCVLqSKJSSinbvhXq5xcC1PcvBStlszk0tMtN0KqrK1W/11apAz+vVFVVVWr27EeUztNXaV3d/3979x4VxZ3lAfxb1Q0NDTSiNAiCCAgoGkWZjKCIEnyhiW5M/oibGTVHHZPsJKsTTWRigpoQkxOTmcTJoFl3fGTXZEdnnRCHAcXxEVcw8nKM4aE85B0alIcgDXTf/QPoiDZt82wK7uecPlJVv6q6dbuhrlW/6h8tWLCAvv/++y77ub/46izYjL3uL+JYz1wtuUPNrW2WDmNY6K/zNw80OcSVZF8GOYqAtbJH6+nLr0IgQO4xY4AiY2wIslcDChX0p99CdeofkHH7OtxEAT+b+otuB2IdLPPnzzf5JJUgCNi1axd27drVZb5e3wonZRPWfOOASeoD+M+dv8IJRRTcPauR9NJzEEVFl/b372PChAlD8uktqZvq7oirpbWYMd7J0qGwDtxnZoi7U1kCuUaPtuK0Hq1X8f0Z6BwAjOr+Xjpjw9HM6WvxjxYNyquuQqnXY/qKA3BcusfSYfWaKFphd7iAu/W2aG1rgr19AD5+Jh/lVc6oq/+npcMbkURRAJeIQwsXM0Pc4xv/CMFHhr+/9jxQW2L2ereupcPG3QEQjb/FfR0npqioCOvWrYO3tzdsbW3h6+uLmJiYRz4hxQP5sYGmjHgTC/79BoK2liH89UogcIWlQ+ozN6dJcHWuQa7GF08fOYyy2jI4jmqEndLX0qGNWNYyEc2txgf4ZYOPi5khThzjjcUvvALbKgFo1Ji9Xm1RJVz9/Lpd3teB/HJycqDX67F//35cv34dv/vd77Bv375HDtA3kAP5MWagcADk1ha/tdRfvFxDcOnlVTi/1hGudlp8lhGKuh/tUKm5aOnQRqzJbirkVDZYOgzWgfvMSMD1jG/RPEoPOE0wbwXtXZCmFT4zI7ptEhUVhaioKKPLiAi///3vsX37dqxY0f6/2iNHjsDV1RV//etf8dxzz2HJkiWYFbkAgSczgCwNDofPw4ubNuOL//gce/Z0f0l/06ZNAIBz586ZdyyMMQDtt5tcXJ7A/mcjkF2SgI1/q0ajfpylwxqxZKIAHY9vMGTwlRkJcJsYBKu7ImouHjBvhaofIOoAO+9ZvdqfOePEAEBSdR2EFh0EHWFt0nV8nJ4Lu1HcIY6xgSQIAgLHL8O3L63BZM8Fj16BDRh7hRwNza2WDoOBixlJaLtXj/FlAq7873+Z1b427yJ01gSoJ/Vqf+aME0NEOFpQhVF21khfPhP/6gY0JhxD1Oq1vdonY4xJjb+rPfJ+vGvpMBj4NpMk2I8PQua447BTEi6//yS0dxsxed4yqBduMdq+IOM85K42gFxhdLm5whOy0OZWjlF6AVq5gOa6Rky0swEApNQ2Iq2kFp9FTIK+WoO/bFgNm5AnYLtsZZ/2yRhjUiEIAsTh0S1L8vjKjAQoZzwL/w3L0NAkQ01RKRpulODy3s+Bmnyj7TUFxRjt49nr/d22cwQANLbWQdAR1E42aNPpUVZcjkv1Atzir+AvFTUQBCCguQEREREImzMbji9G40BKEWJvliO/qRlNOn2vY2CMMang7/KxPC5mJML7uY+wdF8Wlu7LQsSbHwGCgIRfLEVdysGuDXVtaK1sgve0kF7vq0A1GqLjaLjf+CeuL52JU3MCkTbXD0JhNjzCQ4FWPb5KK0X4aMK/LFyA4OBgHDp4EAciJkM31hZ/vFiAuScysO36rT4eNWOMDW3eznYorOaRtC2NixkJUk5bgSf/5zuInjJcS/zvrgtrbkJ2D1AHzje5DVMD+f3bhLF4Yv1GZOzbi8kf/AEJ36UZBvLLev3fcH7JdGyb4ogrL6/B+PHjsWfPHmg0GgTrmpHg74wt8yeCbGX42w83EDBEBvJjjLGBMEppjdp73AnY0rjPjEQV/OUtCAU6+K1cjKbMY8j+x1EEb/wc2lvfgUQAY6eaXD8tLQ0RET89uv2b3/wGALBmzRocOnQIpz6MRfi9Jlz6YCeW7bgL+8AgvPj5EbTKreBvI8Ola2nIv3kT+TdvwsPDo8u2iQjJVXVIu1CMqtxcLDmdgcqf/QzWooh9+/Zh586dhrbh4eEAgIMHD2Lt2rX9kxzGGGMjikDD4GZffX09HB0dUVdXB5VKZelwBsXfXpgKR9s61GpsYXVbhFojYOKnG1GWm4mC/7uCZUd+6PM+9EQ4WFYNV2srHCutRvL1H/HJwsl4duxok+s16fTwjW8ffoFsZRBva3FuxUz4d3QeZoyx4SSj+A5m8jhNvdJf52++zSRRNqPtcC/bDuPnBELwasaPj4tQPf4LVOTlQuWp7pd9iIKAdR5qzB/tgKu3G0FyEaGj7E2uoydC4OlMiLVagAhiQyseH++Eicq+PVnFGGNDldpegar6ZkuHMaLxbSaJinzn74C2Aa01RShN+hWmr38SUI5BU1ktpi5f3K/7SqyuQ1V1E3bNnYhxNtYm22pa2tBaeQ8qX0dcC3sMcn5ukTE2zHk42SKzpBYuKr76bClczEiVtT0ubJ+P5qwWKP3uQe3uA93lA5DVEjynP9Gvu7ISBUBov4x36c5dEAgEQE/o+LdjGsDhsmqQQsSR6b5cyAwRRAQ9wfDV66Lw0/djCIIAIgJ1vJfU8V62r4f295oenr6/LREAI8sAGJZTewOzRho2+akxsVAwsdDUEE2m9id0rCh0bENA++9C+88PLweAu9o2VDe0oFWnBwFQyEVYyQQIggCZIEAUBAhC+8jLsvveB5kodHlv2qfb296/Xuc+E7+vxFhH0yfP+4+tN/0JTOWGHmjT3XTnvJ5M95Wp7XWXk77+tRpla9XHLbC+4GJGqrQNqC/RQlQArWW2SH734/aTxRg9cuST0FZS22+7cmzTA6KA7SnGv9fmQUIb4e+3qmHtxD38e4vQsxOJKYIAw4kQ6CguHihUOk/UnW0M/6LzBHrfz4blQpeTumBkO4ZtP7Dc+DEZP/1016vv4dkdBVQ3K/Smd+CDBVzn9g1FnGGfPy23U8jho7aDjZUMANDcqkObnqAngl7fXljqqXMaHcv0oI6CU99RfBIRdB1t9B0Fp67jIAQAj09wwhh7vn3LGNDDYiYuLg5xcXEoKioCAEyZMgVvv/12lwELU1JS8Oabb+Ly5cuQyWQICgpCUlISbG1tjW5zx44dXZ5uAYCAgADk5OT08FBGGLsxePJYbvtfUb0OIH37SxDbRwvuZxnuKtzV6SB2nIrE+05iomG6/WdBAJyt5Ib/QTI2knUWNYyxgdOjYsbDwwPvv/8+/Pz8QEQ4fPgwVqxYgczMTEyZMgUpKSlYsmQJoqOjsXfvXsjlcly9ehWiaLqf8ZQpU5CcnPxTUHK+YGQ2QQBkA5+vsQorAHwZlTHG2NDTo7PgU0891WU6NjYWcXFxSE1NxZQpU7B582a8+uqr2LZtm6FNQEDAo4OQyzF27NiehMIYY4wxBqAPj2brdDp89dVXaGxsRGhoKKqqqnD58mW4uLhg9uzZcHV1xbx583Dx4sVHbuvGjRtwd3eHj48Pnn/+eRQXF5tsr9VqUV9f3+XFGGOMsZGpx8XMtWvXYG9vD4VCgRdffBEnTpxAYGAgCgoKALT3gdmwYQMSExMxc+ZMREZG4saNG91ub9asWTh06BASExMRFxeHwsJCzJ07Fw0NDd2us3v3bjg6Ohpenp69H1SRMcYYY9LW428AbmlpQXFxMerq6nD8+HEcOHAA58+fR21tLebMmYPo6Gi89957hvbTpk3DsmXLsHv3brO2X1tbCy8vL3z88cdYt26d0TZarRZardYwXV9fD09PzxH1DcCMMcaY1PXXNwD3uOeotbU1Jk6cCAAIDg7GlStX8Mknnxj6yQQGBnZpP3ny5EfeNrrfqFGj4O/vbxiI0BiFQgGFgh9JZIwxxlg/DGeg1+uh1WoxYcIEuLu7Izc3t8vyvLw8eHl5mb29u3fvIj8/H25ubn0NjTHGGGMjQI+uzERHRyMqKgrjx49HQ0MDjh49inPnziEpKQmCIGDr1q2IiYnB9OnTERQUhMOHDyMnJwfHjx83bCMyMhJPP/00fv3rXwMAtmzZgqeeegpeXl4oLy9HTEwMZDIZVq1a1b9HyhhjjLFhqUfFTFVVFVavXo2Kigo4Ojpi2rRpSEpKwsKFCwEAmzZtQnNzMzZv3ozbt29j+vTpOH36NHx9fQ3byM/PR3V1tWG6tLQUq1atQk1NDdRqNcLCwpCamgq1un8GS2SMMcbY8NbjDsBDUX91IGKMMcbY4Omv83ef+8wwxhhjjFkSFzOMMcYYkzQuZhhjjDEmaVzMMMYYY0zShsXw1J19mHmMJsYYY0w6Os/bfX0WaVgUM53jOPEYTYwxxpj0NDQ0wNHRsdfrD4tHs/V6PcrLy+Hg4ABBECwdjlGd40eVlJTw4+MDiPM88DjHg4PzPPA4x4PDVJ6JCA0NDXB3d4co9r7ny7C4MiOKIjw8PCwdhllUKhX/0gwCzvPA4xwPDs7zwOMcD47u8tyXKzKduAMwY4wxxiSNixnGGGOMSRoXM4NEoVAgJiYGCoXC0qEMa5zngcc5Hhyc54HHOR4cg5HnYdEBmDHGGGMjF1+ZYYwxxpikcTHDGGOMMUnjYoYxxhhjksbFDGOMMcYkjYuZQZCXl4cVK1bA2dkZKpUKYWFhOHv2bJc2xcXFWLZsGZRKJVxcXLB161a0tbVZKGJpOXfuHARBMPq6cuWKod2f//xnBAUFQalUwsvLCx9++KEFo5Yec/OclJSEkJAQODg4QK1W45lnnkFRUZHlApcYc/K8Y8cOo8vt7OwsHL00mPtZJiLs2bMH/v7+UCgUGDduHGJjYy0YubSYk+eioiKjy1NTU3u2M2IDzs/Pj5YuXUpXr16lvLw8evnll0mpVFJFRQUREbW1tdHUqVNpwYIFlJmZSQkJCeTs7EzR0dEWjlwatFotVVRUdHmtX7+evL29Sa/XExFRQkICyeVyiouLo/z8fDp58iS5ubnR3r17LRy9dJiT54KCAlIoFBQdHU03b96k9PR0Cg8PpxkzZlg4eukwJ88NDQ0PtQkMDKQ1a9ZYNniJMCfHRESvvPIKBQQE0Ndff00FBQWUlpZGp06dsmDk0mJOngsLCwkAJScnd2nX0tLSo31xMTPANBoNAaALFy4Y5tXX1xMAOn36NBG1n2hFUaTKykpDm7i4OFKpVKTVagc9ZqlraWkhtVpNu3btMsxbtWoVPfvss13affrpp+Th4dHljxczn7E8Hzt2jORyOel0OsO8+Ph4EgShx3+cWDtjeX5QVlbWQ39nmPmM5fiHH34guVxOOTk5FoxseDGW585iJjMzs0/b5ttMA2zMmDEICAjAkSNH0NjYiLa2Nuzfvx8uLi4IDg4GAKSkpOCxxx6Dq6urYb3Fixejvr4e169ft1TokhUfH4+amhq88MILhnlarRY2NjZd2tna2qK0tBS3bt0a7BCHBWN5Dg4OhiiKOHjwIHQ6Herq6vDFF19gwYIFsLKysmC00mUszw86cOAA/P39MXfu3EGMbPgwluNvvvkGPj4+OHnyJLy9vTFhwgSsX78et2/ftmCk0mbqs7x8+XK4uLggLCwM8fHxPd94HwstZoaSkhIKDg4mQRBIJpORm5sbZWRkGJZv2LCBFi1a1GWdxsZGAkAJCQmDHa7kRUVFUVRUVJd5+/fvJ6VSScnJyaTT6Sg3N5cmTZpEAOjSpUsWilTajOWZiOjcuXPk4uJCMpmMAFBoaCjduXNn8AMcJrrLc6d79+6Rk5MTffDBB4MY1fBiLMcbN24khUJBs2bNogsXLtDZs2cpKCiIIiIiLBSl9BnLs0ajoY8++ohSU1Ppu+++ozfeeIMEQaCvv/66R9vmYqaX3njjDQJg8pWdnU16vZ6WL19OUVFRdPHiRUpPT6eXXnqJxo0bR+Xl5UTExUx3zM3x/UpKSkgURTp+/HiX+Xq9nl5//XWysbEhmUxGTk5OtGPHDgJAqampg3lYQ05/5rmiooL8/Pxo69atlJGRQefPn6d58+ZRZGTkiL+d1595vt/Ro0dJLpd3uU09UvVnjjds2EAAKDc31zAvPT2dAIz4W08D9Vnu9Mtf/pLCwsJ6FBMPZ9BLGo0GNTU1Jtv4+Pjg22+/xaJFi3Dnzp0uQ5/7+flh3bp12LZtG95++23Ex8cjKyvLsLywsBA+Pj7IyMjAjBkzBuowhjRzc2xtbW2Yfuedd7B3716UlZUZva2h0+lQWVkJtVqNM2fOYOnSpaiqqoJare73+KWiP/P81ltvITExscsTIaWlpfD09ERKSgpCQkL6/wAkYiA+zwAQGRkJlUqFEydO9Gu8UtSfOY6JicF7772H1tZWw7x79+5BqVTi1KlTWLhwYf8fgEQM1Ge502effYZ3330XFRUVZsckN7sl60KtVpt1AmxqagIAiGLX7kmiKEKv1wMAQkNDERsbi6qqKri4uAAATp8+DZVKhcDAwH6OXDrMzXEnIsLBgwexevXqbn9ZZDIZxo0bBwD48ssvERoaOqILGaB/89zU1PTQZ10mkwGA4fM+Ug3E57mwsBBnz57tXR+DYag/czxnzhy0tbUhPz8fvr6+ANq/ZgMAvLy8+i9oCRqIz/L9srKy4Obm1rOgenQdh/WYRqOhMWPG0MqVKykrK4tyc3Npy5YtZGVlRVlZWUT006PZixYtoqysLEpMTCS1Ws2PZvdQcnKy0cubRO3vQ1xcHGVnZ1NmZia9+uqrZGNjQ5cvX7ZApNJmKs9nzpwhQRBo586dlJeXR+np6bR48WLy8vKipqYmC0QrXaby3Gn79u3k7u5ObW1tgxjZ8GEqxzqdjmbOnEnh4eGUkZFBaWlpNGvWLFq4cKEFIpU2U3k+dOgQHT16lLKzsyk7O5tiY2NJFEX605/+1KN9cDEzCK5cuUKLFi2i0aNHk4ODA4WEhDzUF6aoqIiioqLI1taWnJ2d6bXXXqPW1lYLRSxNq1atotmzZxtdptFoKCQkhOzs7EipVFJkZOSI7yvTW6byTET05Zdf0owZM8jOzo7UajUtX77c5AmZGfeoPOt0OvLw8KDf/va3gxjV8PKoHJeVldHKlSvJ3t6eXF1dae3atVRTUzOIEQ4PpvJ86NAhmjx5MimVSlKpVPTzn/+cjh071uN9cJ8ZxhhjjEkaf88MY4wxxiSNixnGGGOMSRoXM4wxxhiTNC5mGGOMMSZpXMwwxhhjTNK4mGGMMcaYpHExwxhjjDFJ42KGMcYYY5LGxQxjjDHGJI2LGcYYY4xJGhczjDHGGJM0LmYYY4wxJmn/D0h1gWSbTDdzAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "collapsedCountyList = list()  #VA has independent cities that we will reassign to parent counties\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "538b2256-a105-442c-b98f-6ecf1dd2add0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for VA with many 'independent cities' - collapse these into surrounding counties\n",
      "collapsing surrounded 'county' 97 into its surrounder 77\n",
      "collapsing surrounded 'county' 98 into its surrounder 1\n",
      "collapsing surrounded 'county' 101 into its surrounder 2\n",
      "collapsing surrounded 'county' 102 into its surrounder 68\n",
      "collapsing surrounded 'county' 103 into its surrounder 39\n",
      "collapsing surrounded 'county' 104 into its surrounder 28\n",
      "collapsing surrounded 'county' 110 into its surrounder 78\n",
      "collapsing surrounded 'county' 112 into its surrounder 77\n",
      "collapsing surrounded 'county' 125 into its surrounder 76\n",
      "collapsing surrounded 'county' 127 into its surrounder 7\n",
      "collapsing surrounded 'county' 130 into its surrounder 7\n",
      "collapsing surrounded 'county' 132 into its surrounder 33\n",
      "Here is the updated map, excluding the collapsed counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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N7QmCM0TAIgiC0I5kWabktVfRdutGxGNzkTQa7CYLhc9tOlFG0vg2KN+aytceASBoVGeXxpJ2bBUqWaZblwtdqtecgREDCdYF80fOHx5pTxBaIgIWQRCEdmTYvRvDjlTC7r3nxPHj0nd+QaELQBVUQtQTA4h+bgTYCwGwVlS32J4sy1T89Ae6KA0R85c4PY6MjMW8nLOUHnYVOv8Yt5/n75QKJf3C+7G1YKtH2hOEloiARRAEoR1VfPY5ypAQfEeOPPGaOVePbDMT/vClKH29kRQSKBw3Hpuzi1tsz7R9PZYaO8FXXOzS/pWvdrxBiAwvj33NvQdpxmVdLiO9Ip2Ll1zMN+nfcLT6qEcudRSEf3J/15UgCILQoto1f1L7x1piXnkBSa0GoH57OmjiUPqUovhrxsV0KA8AW20RPv1b3l9S/eN3APhddqPT47DUFrPOXMYVYQOJ7jTOnUdp1qjYUbw7/l1+PvIzL6S8AEC4dzi+al8kJC6OH8MNfe/zaJ/CuUkELIIgCO1AtstUL6/G9/yXsNv8T7xetWQPkiKG8LtPpsW3VtUCoPRr/W6eip83AKAIj3d6LL9v+i81SgWT+s92uo4rRsWOYlTsKKpN1Wwu2Mz+sv0YbUYWHlzI23uP0Mu6hV49X8HLS2THFdwnloQEQRDagWFfGSgCQKWhbpONgqcWYKvVYzepkO0WVMEngxjfIT1O/LN+z5EW29WGafGK83Z6HGWlB3ipcB0XqsPpFjPU9QdxQYA2gAs6XcBDgx7i4YEPEqBUMMDbhsFwlNSdV2G11rZr/8LZTQQsgiAIHiZb7dSszEabFETM86NRh5dhM4ST/+QKJFUEklTVqI42vgaAsk93NtuuzWhie+T1FPW4wMlxWLj3t6vRAo9Oft+dR3Hbgj2vUG2zc8+w1xk86Ges1lr27b8Pk7nslI5DOHu4FLDMnz+f5ORk/P398ff3Z9iwYSxbtuzE+5mZmVx66aWEhYXh7+/PjBkzKC5ueQMZwLvvvkt8fDw6nY4hQ4aQkpLi+pMIgiCcIWy1ZqxlBtSRPihUSiIeuJTg6ZGADQBJYW1UJ+x2x1FjhVdUs+3mrdlFWUgyqaZxpLz9BbK9+YRtdpuFr5feyl6FjRf6PUhQSJe2PZQLbHYb3xxaQj9/f3rHnI9OF02vXm9SVbWdbdsuwGKpPGVjEc4eLgUssbGxvPDCC6SmprJjxw7GjRvHxRdfzP79+6mvr2fSpElIksSaNWvYtGkTZrOZqVOnYm/hL9XChQt54IEHePrpp9m5cyd9+vRh8uTJlJSUtPnhBEEQTgdVkA6vPmHUbynAWmEEwGdwD2KfvwhtQi3h945vsp69vhS70fFhbrfbqTqcx5Elm9n++s98dPPP/PaLHrXNwODkQrbvj+PPlz5n+1uf8uODX5C7Zl2Dtp7/8QpeqtzBFd6dGNL3hnZ93n9advBTCs1mbux5cmNwaMgYhg5ZjsVSQXHx76d0PMLZQZLbeP4sODiYl19+mbi4OC644AIqKyvx93eszVZXVxMUFMTKlSuZMGFCk/WHDBnCoEGDeOeddwDHX9K4uDjuvvtu5syZ49QYampqCAgIoLq6+kTfgiAIp1PV70ep25hP1JzBKAO0TtXZ88BKMvVW6iy16BX+2JR/1ZPtIDl+vxw3Xkf36cNJ+2IhG7aEoZH06JT12GUFVz07Ak1oNNWVhQxddjMqSw59OszkxcG3EeMT1F6P2sjlPwzHbjfx0/TtSNLJ34ura/awY8dl9En+iNBQz55WEv6dXPn8dvuUkM1m4/vvv6e+vp5hw4aRmZmJJElotSf/Yup0OhQKBRs3bmwyYDGbzaSmpjJ37twTrykUCiZMmMCWLVua7dtkMmEymU58X1NT4+5jCIIgeJyt1kz91kJ8R8U6HazsX3SQjXoVPgoV4f4VBITWE9RBS3DXaEJ6xqP20TUo3/u6K0iYkIcuOJS60kq+m7eX7R8tofe913Dh1l1UhT9CT/MKdud+z+Tcn+jf4f94cfAtRHm3b+CyOftXDtXX8mzfKxsEKwC1NWlIkpKQkNHtOgbh7ORywJKWlsawYcMwGo34+vqyePFievToQVhYGD4+Pjz66KM8//zzyLLMnDlzsNlsFBYWNtlWWVkZNpuNiIiIBq9HRESQkZHR7BjmzZvHs88+6+rQBUEQTgn9rhJkWcZ/dKzTdWrLHEtHF85OJqy3c7MPPjGO9gM6RDFo4Ba2be/CgcVfcSR6BKtjTfTs8jz7q+5ibsr77MxZwMTcHxnQ4f94cdAtRHoHuvxczvho95tEqiWm9Xqg0XsaTSiybKOu7iB+fj2aqC0IzXP5lFDXrl3ZvXs327ZtY/bs2Vx33XUcOHCAsLAwvv/+e3799Vd8fX0JCAigqqqK/v37n0iO5Clz586lurr6xFdubq5H2xcEQXCV3WSjcvFhjIcq0e8qwat7CApvtdP1lRrHJYbpG5y7APGf+l47DT9tNdnpXZhoOELPLkMA6BkYzS+T/sN3U3+lU/hEUrO+Y8KPk7lh/auUGFq+BsBVGSXb2VFVzBUJY1EpvRq9Hxo6HpUqkIyDTyDLNo/2LZz9XJ5h0Wg0JCYmAjBgwAC2b9/Om2++yQcffMCkSZPIzMykrKwMlUpFYGAgkZGRJCQkNNlWaGgoSqWy0Umi4uJiIiObT6Ck1WobLD0JgiCcboa9pdRvK6J+WxEA/uM7uFQ/Y6fjoEF9pamVkk1TalSY+0UTtdXIpR0a9907KIZfJ/+PvZWzeSzlPbZnfcO4nO8Z3HEGLwy6iXCvALf6/bv3dz5PgBKu7vdUk+8rFGqCg4ZRUrqMw0deoHPCAyibCGwEoSltnvqw2+0N9pOAIxAJDAxkzZo1lJSUMG3atCbrajQaBgwYwOrVqxu0t3r1aoYNG9bWoQmCIJwS1moTlT8ebvCarluwS22EhDo+uPtf2vQveM4o3W+hMt6LAb0GN1smOSiG3yY/x9dTf6Fj2FhSjn3FuB/O5+Y/36DE6P5+wIKaY6wrPsLFsX3x1oY0W65793mo1SHk5n7KuvW9WLO2KynbL6a8fL3bfQvnBpdmWObOncsFF1xAhw4dqK2t5dtvv2XdunWsWLECgM8++4zu3bsTFhbGli1buPfee7n//vvp2rXriTbGjx/PpZdeyl133QXAAw88wHXXXcfAgQMZPHgwb7zxBvX19dxww6k9hicIguAuw95SAMJuTcZ4pBJ1lA+SyrXfB7381ChLDGh07p2FOJxfg1+tjZDzI1ovDPQNjuX38+exq+IOnkh5l61Hv2Bc1kKGxV/JvEE3Earzdan/D1P/g1qSuaF/07Mrx6lUfpw3chtVVduprduPhERB4Q8cSJ/D8GFrUSp1LdYXzl0u/c0oKSlh1qxZFBYWEhAQQHJyMitWrGDixIkAHDx4kLlz51JRUUF8fDyPP/44999/f4M2ji8ZHXfFFVdQWlrKU089RVFREX379mX58uWNNuIKgiCcqQz7ytEmBaFNCECb4N7SSlFBPTbg25d3MvX67nQY2nwCuaZ88+U+ghUwfmiMS/X6Bcfx+/kvkFo+mydS3mPL0c8Ym7WQ4fFXMrfH5XQIimp1H2K1sYLf83YwMaITof6tJ6iTJImgoMEEBTlmgoKDz2PrtkmUl68jPPx8l8YvnDvanIflTCDysAiCcKpZiupRBmmxVZkofn0nwVd3wzs5zO32cjYXUJJRybaUYvr2CWXE7GSn6x4prGX5s9vRDwnmkRv6uj0GgO1lWTy5/V2Gptu5ueQSDnUsZNzsGS3WeWvLQ3x6aDmLp3xEpzD3lvO3brsAP+8e9Oz9qlv1hX8nVz6/xV1CgiAILqrfWUzxGzupWZVD3ZZCFL5qvHo0v2/DGR2GR9NhmGNWJTzez+l65dVGfng1FYNOweVT255+f1BoPMsveJkLay8GICk7ig2Lfm22vMlq4vujfzAyOMztYAXA19Sbstz1WMsNbrchnN1EwCIIguACc34dlYsOAWCtMDoSxA2NcnnPSlPSV2WjBDoOj3a6ztKUfPzq7Iy9qzedQ33aPAaAmjoTUQaJIxOjKPWrpsNOv2avWFmU9gZVVhs3Jd/tdn+mugrK9KvwqkyiLqXI7XaEs5sIWARBEFxQ+2ceksbxo9N4oBxNJ3/8xrl2hLkpFr2FAwcq6dzBF42T2XEBjqSVUR+gYkBn104lteRoZgUAofFByCMDUKHk0NH9jcrZZTtfHfyevn7e9O1wqdv9Hdz8HLLCTJxyNvXbCrGbRI4WoTERsAiCIDhJtsuYMqvQdT+5/BN0eRKSQmpz28U7irED3Sa6Fvx45xkwhGqQpLaP4biCQxXUq6BbfBBJ/ftSoaqmZOnBRuWWH/qKQpOJ63tc61b/OenbqMhKpVT5MzGqGwg7fxCy2Ub170exGxvfaC2c29y+S0gQBOFcIssyVUuOYK+z4HdeDOpwb3RJQahDPZP4LHN7MSoJIpNDXRtXuI7QTD3ZJXV0DHftKHKT7ckywYerORbrTVelAl8/P/L71tN7RzTb16xj0LgxJ8p+uu8jOutUjE263eV+Vnz4EvtWb8Avro5uo2LoPPlulFotAVMSqP79KOb8OiLu7tfm5xHOHmKGRRAEwQn6nSXUpxQRcH4nNLF++I/vgCbO+c2xrTl6rAarDGqt879HrtyUi1+WHgC7VumRcaxbfoTYGhu+g09mGx87ZSr1SgNRK5Wk/GcxVqOZrbkrOVhXzcwuF6FQuP67b8+xIwGozfWlKmUIyr+yl/uNjCFoehKW/DospXqPPJNwdhABiyAIQitkWaZuSwG6bsH4uXChoSv0VhlnF1VqjRbm/Xczh79yZNdVTYulU4BnZnqshypJj9Iysv/JfC46b2987utGtqaAaH0ohw8d4MNdrxKhhkuSH3WrHy+/k/lqDh8+QEHqjhPfe/d2zDKVvL0b2f6vz7wheIgIWARBEFphLdFjyavDe0D7JLSsynGkxFepnfuR/Mr7u/DPN1IT58XUZ4dw25Qkj40lsNqCPbRxttnYsA50vMVxoWJmcTrbKwuYHj8Ctcq9Zaig8O70PP/kNQTr188+cRJJUjtmi2Szjdq14nJbwUEELIIgCK0wpFcgqRV4uXg/kLM2fnoAnQKufWZIq2X3ZFcSnlHH1iQtcx4bSocIzxxlBjBb7YQZ7M3vy/lrtuNA2h4ClHKzlxw6Q6FQcP4Nb3Hv1z8x6NKehPaqJHf7NyfeD72lNwD128UxZ8FBBCyCIJyzzFlZ6FNTWy1nOlKFplMAkpMzIK4oySgnu0hP3wHheIW0vKxjt9lZ/8IuAPZ00rKjut6zY6nUo5LB5qdp8n0vb0dw5G3xYmp0T/y8nM8X0xyVWsOoK18kyDKMrIq3sBgc+1a08Y4lI1WwuFtIcBCnhARBOGdlXXU1tspKEpYuRZvQqckystWOObsG/4kd22UMqd8fQaeA5Ku6tlo2I68GpQxlQ4MoCZT439FCfu7f9uy2x+3/9TA9gQ6RTS/z+AYEYAAuqRxHnT4GY3kJupBwj/St7HALdy4qZPKBRWTXxVIjy1yuUHKZBxLyCWcH8SdBEIRzkmy3Y6utBaDw8ceRbU0nKzPn1SJb7Gg7uXepYUtqcms5ll9Pj94hqL3VrZZfvtCRC+Xe6T1J8NKSUl2PydZ0Blp3hOQ5ZjeSOgY1+b5WoyV7gGOJxndjV4rXrvNY3zO+q6TO4suPpWHsMJjIMpqZZzdQGSZmWAQHEbAIgnBOMmVkgNVK6J13Yti9m4qvvmqynGFfOQpfNeqYtuc4+afNX6WjlKDvla3PrgBYiwxU9fAj0EfDnR3CkYGOG/ZSYfZMkrWSEA3ZwWokZfMfDSOmT0c1zQSAvcYzwdIfezdhsat4aLT5xGuL7hwBwBKVSCAnOIiARRCEc1LJq6+h8PEh+IbrCbrmGkrfeBNzVlaDMrIsY9hXhlevUI9ks/27/OwqqgrqMSOzKqWg1fLrdxXio7cT0slxo+3M6BCGBDj2lFyz96hHxmTrEkjHCguGamOL5SKHT8AcWoBc4Zkjx5sPZwFwft9+/DpzIB9M7EbXCEeOm+ggzxzXFv79RMAiCMI5x242o9++nZBbb0Xp60v4/fehCguj4IknkP92yZ8lvw5blQmvXm27ibkphxdm0NlbotZHSfbiY7z4egpmS/N36KRnVgJw+eiTe2l+7t+FEYG+7KzV81Z2cZvH1KlPBDbg4K7WT+Yo45VoymIp2Lgcm9mIqa7C7X6tdhV+mjo6hkUS1VHB5PGd8dIo0akVmK2eW/IS/t1EwCIIwjnHVlGBbDaj6+ZYilF4exP1v/9h2JFK5TffnihnSCtD4a1C2ynQo/3nHSonscJCSXIIj744Cm2vQHwP1vHVN40vGDyuttJEjZ+SMP+Gezq+SXZsFn7+aCE3pR1r07h6hPuREayi7kB5q2Vjpk4BwP6bD4VPbaf4+d1YTQa3+g30MlNr9qXLE6sZ+HwKQ/77DZ+uWQyASBsnHCcCFkEQzimG3bvJvnomAOq4uBOv+wwZTNDVV1Py2muYc3KQZRn93lLHcpDSs8tBh34+TIkkM/qyriiVCm69awA1oWoqUkpZuTaryTqmQj22gMYbc3VKJZNCHMtEv5dVo29m87AzFJJEZYIfUfl67K3ti7GDTVeLreIotqpcFHY1VUdbPyLelBFJPQHoGFDJQ2OMRPmZ+c9KDUaLHV8PXTkg/PuJgEUQhHNK8SuvYKuvJ+Kxx9B0aniUOfzBB1AFB1P4xJOY82uxVZrw6u3aZYStyc+uolO5mdKuAfh6n8x3cvXsPli8FBxeeJSXn/gTWT45t7AlvYSgAhPxQ5rOtPtlcgKD/B37WfKM5ibLOCsmORytDY7sL22xnMrLm/CbeqPf8AL6df+ldsltVH232a0+hyT1J+uFC1k/9xruOv9yfrz7uhPvaaWWxyGcO0TAIgjCOUWSFHj1SSZ41rVIUsOZE4WPD1HP/Q99SgpV329A0io9fpw57YeD6IERl3Vr8HrHGH8efXE0xmgd3mUWiisdyyu/bs5l1acH0Oskpo+Jb7bdHr6OpaKnjrS+gbclgzqHkOetoGhvSYvlZFnmw5xv//4KlkWfUb53S5v6B1AqFex/sjsPDniH4fGWNrcnnB1EwCIIwjnFWlKCOqL5O4F8hg4l8IorMB6qQhOnQ/Jg4rKykjoSS00UdPHD11/b6H2lSkHHPo4ZnV835/LcN3vJ+fIwGlki+bquaNXNL48k+zlO04wP9m/TGHVKJbkdvAk6Vtdglueffj/2Ox8f+Zqnbm54NUD1+r1t6v84GRs9Qg6hUbeen0Y4N4iARRCEc4bpyBHM2dn4jDyvxXLhDz+EpNJgPHAUuwcTs+1blIENGDC1+csKk/4KWMy/5RP4ZxlGtcRtTw9lcr+W0+Bvr3YkffNuIYeKswJ6hhJktFOUVdVsmbl/zgWgW90FlIacTJoulXrmRJVsd8ysKCQRsAgOImARBOGcUblwEcqgIHzHjmmxnNLXF/8J0UiaCMrmL/VI34f2ldApT09Ggg/B4c1fWHj1gSw+meBP5YRwCocGcddrowjyazwb80/nhzpmVt7Jafvx5oG9I6hVwZFmjjebbY59MmGGMJQoSUvydryh1KI2R3Ds/QVtHoMsOzb9SiJgEf4i7hISBOGcIMsydWvW4H/B+Sg0TV/u93eBF4+kftu3mLLCMB7MRtfVtbuE7HY7qz/cTXDPEOK7hGD4JoNqJUy6NrnZOk9vP0qZl4JYpYInJvdyqb/zwwIBKDC1fc9HsE7DhmgdUYerm3z/pe0vAdA3qS/9ovrxcsffiRs6jR5SDzgKquwITDXlaP3dn22xy47nkCTxe7XgIP4kCIJwTjBnZWHJz8dn1Cin64Q/MAVsJkrf34zd7trS0LH0crpn1RPxew6GN3bhLUPwjb3w8mp+xuDDyioAvhjs/oWGJrtMQRtPCgEcifUiptJCUUldo/cWHlwIwKrcVTxR9QTVCiMhF00j8dbrCLo/HklWUbJxA3ab+2n1VUpHplurtdbtNoSziwhYBEE4Jxh27gRJwnvgIKfrqEMD8R3uj6SNpfwj15aGMjblYkRmbyfHcskPmOncObjZ8nn1JmS1gut1vvQMan7JqCW6v64PqG4hY66zhg+KwSpB2s7CRu8Nimz473BWj1kMjx4OgNrXsTQlbQgl5/llVBxyLzeLjCNAlBRiSUhwEAGLIAjnBNORTNSxsSh9XQsGgqaPAgowHlRiOprnVB2b1U5wVh15QWqm3DaA3dPimH7vkBbrLM0qA2BsVKBL4/u7eUmxANyXkeN2G8cNjwriUIga9eGqRu+FeYWd+Oe9s/by8KCHTxwRV6pP7rdR1Qei/1RP5cGd2O3OBVF2u5n0jMc4duwtALTa5k90CecWEbAIgnBOMB89ijYhwa264fdMAElBydtrWjzqe1zaxhzi7BKB5zkCiIuGx5MY5ddinc0lNQCcFxPk1hgBrooKob+/N3vqDEzcfhCTzU69oeWLDFtiSAygQ6ERs7Hh0s4TQ5848c//zGWj1Oiw9svFElqEPMaR9K3+s3rSPnrMqT73H3iQgoKFlJauIDr6CnTaSLfHL5xdRMAiCMI5wVZfhyLAvRwlmugQvPtrkbSdKP+s9aWh8h1F5Cpkeg+JcbqPRH9HHpXHNx9xa4zH/dYvkZ6+OtLqDHTcsJfOWzOI+SOVXbtcz4/SqW8EGjvs29NwWchP48e3U77l50t+brJe/BVX0+mh6YT0G4xV69i4G3LsInJ/WdJif/n531FSspT4jrMZN/Yw3bs97/KYhbOXCFgEQTgnqMPDMezZ43b94KtHg1yCPk3GlN14X8dxJrONyDIz1bHeKF3IifLEgHi8zHa21erdHiOAQqFg9aBuTPZxnITSmM3YlEpeST3gclu9OwaR66ugYn9Z4/fCepMQ0PKMlXdELB2fuZDo50dg6ZODtDmE4pR1TZY1Ggs4fGQe4WEXkJDwoDgdJDQi/kQIgnBO0CYlYatq+piuMyRJIvzOUUhKLSVvrmx2aWjHllwCkOg8NNblPpQyVEttv5/YYrFQkHmMqMpy9gxOIqymitWdu1FY6FqOFkmSKIn3JTK73u0EepIkoVAo6DjjSszRuRh/02OzND56nZP7GQqFlu7d5zVaZhIEEAGLIAjnCNPRo2j+djuzOzQdwvBOViFpEqj4YlmTZSr2llIjyST2dW2zqMFio04jEadue3qs//24lP1hkbwTF0xQUCDefwVXNjeCjvDeYQSaZA4fLm/TmBRKJUHn90Bp9qN45ZpG71dU/ElY6ARUqpb3+gjnLhGwCIJwVrOUlFAwZy41v/yKtmvzKfGdFXztGLAXU7/Hjjm3cSbY0GIjeUEaJIVrswReaiUqsx2rrW0zLOu27uCjsDjuLM9jxKB+AMSaHBcpzv7D9duU+/WMoFotkb2n7Rl0g5L6Ykw8hGWrjEV/Mr+L3W6hvv4wAQH92tyHcPYSAYsgCGe1wjlzqF6yBNRq/CZObHN7kiQRducoJKWG4jcaLg3VVhuJscqo4t3b3Ku1ytS1YUmovLyCe4pq6Vucz6OXX3ji9deG9CK6spzUuE7U1jZOBNcSnUpJVpwXfkdr3B7X30VMGY3CqqVw9coTr9ntjpNMSpWvR/oQzk4iYBEE4axlr69Hv30H4Q89SNKmjfiNGeORdrUdw/HqrURSd6Liq5MfvId2FaFAIq53WAu1m2dTSqjdjFfsdjt3L9uAQa1h/sh+qFQnl5Y6xnfgtdgg7AoFhw5nuty2d/cQ4qpt5Be2PeusX3QiluhCrEdOZuO129uemVc4+4mARRCEs1bdnxuRLRb8zj8fpb97sx7NCZk1DmyF6HdZMec6lkuq08ook2QSkly/Q6e43oRRqyDZ18ut8Xz820rWxMTzvNpKxw6NN/z+kuNYvvL3cX0Wo1/fSCwSpO9q/nSUK2SzHUmlPPG9zaZHkjTo6496pH3h7CQCFkEQzlp1G/9E07kzmljXT+y0RpIkwu4aDZKS/DlfYrfZCS8ycCxE7dJxZnDMjkxYtgkkiemdw10ey/6Dh3leE8Rl+ceYPml0k2V6eDsy0G48eNjl9gP9dBwN1yAdrHK57j/ZTAbU5dGoOmkwGPJJz3icLVsdm20DAvq3uX3h7CUCFkEQzkqyLFO/cRO+I0e0Wx/ajhFIqoOo44aS9cKvBNrAr4/rAce8X36kssTx4zjSx7V7gPQ1tdy+6zARddW8dHHze3RuPH8sAF/o3TuebEsKJKHERHWdya36x1lrTSjsaipYz5atYykpWU7nhAcYMXwdwcHD29S2cHYTAYsgCGcla1ER1qIivIe0fIdPW8W8eA+yKRtNbTBmZM4bHe9S/WMlOXy01RtNfg1BcgXzDu5wqf4jL75FVnAY73WOwtev+eWewvIKALytjXOgOKN7/2jUMuxu47KQUuOY6THUZRMTczUjhq+jY8fbUCq929SucPYTAYsgCGcl02HH0oc2qWu79iNJEoYxschWE4VeZWg1ytYr/c2S7VsBWHV3b64PKmJlfTjpVc4FBWtSdvHDhAu5I2U9A/r1brGszWBEYbPRT+3ej/24KD9y/ZXUp7ctH4u11DFDExo2lqQuT4u8K4LTRMAiCMIpVV2qZ+Un+6kqblsK+tYYDx5E4e2NOjqqXfsB2L9rD1VL76fffa4dm7bZzPy0x8DQ2EI6R3bizh7nE0Qlz2XsbLWuxWbnsbwKkgtyeGTu/a2W12k1SMhUGgwujfHvajr70zHXgMlqw263c/Mzq4mf8zsZGaVO1ZdlmcrvD6Hu6EvnMXeKjLaCS0TAIgjCKXVgYyGHtxezaN52MneWtFs/pvQMtN27Iyna/8ecJW0vpeFxeAe4NluwMSOV3JpQrhvhSGjnqw3mpuBKVhui2FeZ02Ld7zZvJysohP9EBaJUtj6r8+e+g9iUKm7q082lMf5dXJ8IAiwyuw+UsGFzLn8YHflTzv88heXrj7Va315nwVZlwm9kHJJSBCuCa0TAIgjCKVV4pIqYrkF07BnC8g/3sfH7w26ljG+NYe9edN3c/3B2lizLhGUfwtqtl8t1y+ocG2x7xZ7cqHt798kEU8nzGbuarWe22XmzXM/oowcZMvY8p/oa0LkjaouF1bnuZ6zt1iWESq1E4d4SXvnjEElKFdeHBjjGvewAOXkt39VkKXAkrdNE+7g9BuHcJQIWQRBOqcLMamK7BTHp5p6cd0UX0tblseTVXVQU1nusD0thIZa8PHS9XA8iXFWSU0RkXRm6vn1drhvsowagrOZkQjYfjR83h9ax1hjHnrIjTdb7av0W8gOCeLRrB6eXVeLjOzC6KJc/6owuj/M4hVJBUQcfKvaVs89o5vHxXXjy/uGsv3kYAKPe2YjZ0vwpJ3NhPZJWiTJY5/YYhHOXCFgEQThlKov+CkpkGUmSSB4bx6UP9qe+2sTC/6WQm1HhkX5qli1H0mrxmzjBI+21JCd1LwCRg/q4VM9qNfNz6h4AzP+4P+i2bhMJoYp5B3c3qme0Wnmr1sKEowfpN2KoS30ODvZjb1Qc+9IPuVTv73x7hPARRkZ66xg1thNKpYKOicHc39WxV+jS5xpfbAiOmSjj/nI0Mb5i74rgFhGwCIJwyhyfRekxMubEa5EJAVz9zBBiuwaxbH4axnr3jt3+Xc2K5fgMH47St/3vpinOOIoNiY7dE1yq99C337EkPYbJiQUMShzY4D1vtTe3RlhZb0pgZ+mBBu99vnojJb7+PNw70eUP/iuHOfqZv7X55abWfF1dQyEyt/5frwb933N9PwZqNOw3mlm5tnHGWv3OEsy5tfj+7b+9ILhCBCyCIJwy9VWOO2N0vuoGr6vUSsZd1x2rxc6RHW27Fdh09CjGPXsJuHham9pxluHgQcqDItB6O59SX2+sZ/lBP65ILuGDm29B0cTG4FuTRhMiVXHb/kIe++oH9EYjBouFd00Sk7OP0GfwAJfHGh4SxHW1pfwY35U9aQdar/APtWYry1Lyiergz6geEQ3ekySJzx5y7KdZtbfxsWxLfh2qMC+8erh+bYEggIsBy/z580lOTsbf3x9/f3+GDRvGsmXLTrxfVFTEtddeS2RkJD4+PvTv358ff/yxxTafeeYZJElq8NXtFGyUEwTh1LOYrKi0SpqaF/AJ0BLfO4S96/Lb1Eft6tVIGg2+o5tOUe9pPlmH0cc5P7tSVFlEv/+uwGjTMmvksGbL6VRabgmoIVcO4dPYRBK2ZDBn8QrKffx4uL/7PyNnjxiI2mplcpmZY1ktn0T6pzlrDmLTW3n2/Kb79/PXMSXYj+8Lq9j5j6PO5oI61JFis63gPpcCltjYWF544QVSU1PZsWMH48aN4+KLL2b//v0AzJo1i4MHD/LLL7+QlpbGZZddxowZM9i1q+Xpx549e1JYWHjia+PGje4/kSAIZyytlwqb2YZR3/SyT9ehkVQW1lNT5n6uEMOu3Xj174/Cy71LBF1RUVBCh+JjqAYOcrpOWm4WJpuWCJ8qenZoOfC4o/sE5lQ9R2K9IwnewrBYJh87SM++yW6POT4kiG+DHDc5f+rC0lClwczSLTnEJAQwKaH526jvvMCRqO+yz1PYts8xW2bXWzDn1KDtHOj2uAXBpYBl6tSpTJkyhS5dupCUlMRzzz2Hr68vW7c6MjVu3ryZu+++m8GDB5OQkMATTzxBYGAgqampLbarUqmIjIw88RUaGur+EwmCcMaqrTAiy1CSXdvk+7Fdg5AkyE13f/OtMS0Nrz6ubYB1V+r3S1Ei0+vyKU7XUeBYFnvu4k6tllV7+TJVlcSz3nP4b/4mxmQd5j8T2n430nkD+3JJ1iGW6Zy/wfq+ZQewm+08f2GPFsv17B3BnB7RAFzx9Q6eeHsL33y4k9V2C7ruwW0at3Buc3sPi81mY8GCBdTX1zNsmGNac/jw4SxcuJCKigrsdjsLFizAaDQyZsyYFts6fPgw0dHRJCQkMHPmTHJyWp6mNJlM1NTUNPgSBOHMZrXY2LnC8Xc7OjGwyTJabzURnfzdDljsBgPW0lLUMdHuDtMlOr0j8Er57Hun6xwurgRgRFfngqpO5z+FulRDL+XnLLhhOnHxHVwfaBP6+HqRFxCE3db6ZYtHKutZn1pAlx6hjIlpPei4fVY/0uaOZ6iXjq/zK3iyqIynMaAK0Hpi6MI5yuWAJS0tDV9fX7RaLbfffjuLFy+mRw9HxL1o0SIsFgshISFotVpuu+02Fi9eTGJiYrPtDRkyhM8//5zly5czf/58jh07xnnnnUdtbdO/gQHMmzePgICAE19xcXGuPoYgCKfY9t8cmVAvvDMZtbb5zKxx3YPJy6jEbpebLdMcSeVY6jgV2W0BRj56J1kTLiXph49J79adlZMuRZZbHndeRRX+mhq8tM7t51CotXTwuxZ9RAWFO77yxLAB6B7nOIb846btrZad/UsaSDB/qvN5bfwCdHzzxFgmBDlOao2KC3JvoILwF5f/Vnft2pXdu3ezbds2Zs+ezXXXXceBA47d5k8++SRVVVX88ccf7NixgwceeIAZM2aQlpbWbHsXXHAB06dPJzk5mcmTJ7N06VKqqqpYtGhRs3Xmzp1LdXX1ia/c3FxXH0MQhFMsL6OS8Hh/4nu3vOQb1yMEk95KSbbrM6c1fx0C0Hbr7tYYXSUpFFzwzvMcuuJWAOJyMpCt1hbrmK02DFYdNpvZ6X46THoETaGOzKOvthoQOWvU4P4klhZxt02HrYUx/5FTzqGMckYPjKFLoGubZpVKBaNHx6NSSLx9g/P7fAShKS4HLBqNhsTERAYMGMC8efPo06cPb775JpmZmbzzzjt8+umnjB8/nj59+vD0008zcOBA3n33XafbDwwMJCkpiSNHms7wCKDVak+cVDr+JQjCma2+2oxPgKbVchHxfmh0SvJcXBaSZZlji76HsDC8evV0d5huufjZ+6l88gUA1n79a4tl9xVa6RVehlLZ+r+L4xQqFZ1Cb8EUWkv+tg/aNNYTbSoUTLQ5st5WVFQ2W272wt0otUrevqDlvSvN2ZNbRbcoPwK81a0XFoQWtHne1G63YzKZ0OsdN6/+M5+AUqnEbnf+npC6ujoyMzOJimr/G1YFQTh1zEYrSnXrP3IUSgWx3YLJOeBawLJlyxYyLGYoLSXzuwXuDtNtw66eRn5QNLbvml+2qa6v5mB5BD2DW7+N+Z9iJt6DLseHY/nvIsut7ztxxiUDHaeN/ty9v8n3//vnYSzlRsb3i8Zf617AcbColp5RAW6PURCOcylgmTt3Lhs2bCArK4u0tDTmzp3LunXrmDlzJt26dSMxMZHbbruNlJQUMjMzefXVV1m1ahWXXHLJiTbGjx/PO++8c+L7hx56iPXr15OVlcXmzZu59NJLUSqVXHXVVR57SEEQTr+YLoHUlDp3XDmuRzDFR2swGVpeXjnObrezZ88ezFOmUJ6UhP655yjZsaMtw3WZJEnYlSricjJY98yr2M2Nl3z+TN+OTVbRLWg3Nptrd/pICgUJcXdjDtKTtfZFj4y5Y1gI3gYDP5VUNfmL5ZbMcgBePd/9JTajxYavTuV2fUE4zqWApaSkhFmzZtG1a1fGjx/P9u3bWbFiBRMnTkStVrN06VLCwsKYOnUqycnJfPnll3zxxRdMmXLyyF9mZiZlZWUnvs/Ly+Oqq66ia9euzJgxg5CQELZu3UpYWPPn/AVB+PeJ7BxAtZMBS8deIUgKiR9e2EGuEzMtu3btori4GD9/f/p++gmGgADy7riT+qKitg7bJQO+/4Y93YYSseBj1o6/iPx9De/sWX3AsfE40ruEgoLm9+k1J3LczfjkhpBd8wVWq/u5ao4LDAzgztpS/oiJpySvoHF/QY5cNkab+/tmbHYZpULcHSS0nUth7yeffNLi+126dGk1s21WVlaD7xcsOPVTt4IgnHo2q4wsO/aatHYHjl+wjulzB7JhwSF+eWs3nfuHMeL/uuDXzC2/O/6aTRk7diy+gYF0mP8eRdfOYt/1NzDw5yUotafmOG1IVCiX/fAxWxYtQ3plHsduuJHolD+RJAm9Sc/iA9F09C9AksBozHO5fUmS6JR4L/tMT3FwxT30vPCjNo+5e3Q4WMFgazzDUvfXr7R1Jgvh3s7vufk7qwhYBA8RdwkJgnBKqP7av+LshX0hMb5c8kA/Jt7Yg8Ij1Xz7zFZ2rsjGZm34wZqSkkJhYSFXXHEFgYGBAEQmJ+P99NP4ZmeTevfdHn2O1mhUSkZffRG1tz9ASG05B5evA2DbYcdpyUcmOXLEWKzu5Y8KG3YVmmIvirzWYKpq+wyS5q99h9V/7UP8u+i/9q1oNc0fQ2+NzS6jEgGL4AEiYBEE4ZQoyarB29+139IlSSJpcCQznx1Kz/Ni2PrzURb8N+VEYjlZllm1ahUdO3ake/eG+yySLrsU07XX4rfhT/a8+qrHnsNZA6eNdYzx/jtYdd5kVj27kGBTFaN7OjLV2qx1brWrUCjwk5IAsFtc2wfTlGF9e+JtNHDvvmNsTtnF9R99x4Xf/sqaLdvx9VL/1Y/7S0JWu13MsAgeIXZCCYLQ7qpL9RzdU8awSzu7VV/jpWLk9C50Hx7lWCZ6czcJ/UIxBuZgsViaTW3Qb+4cth06hN8nn5LZtSudL7qoLY/hkpjIYPZfcwfG1B2AxLVpy+hjOoZG6djTJ+N+EKCwOn50p/5xMSOv2tOmcfr4+PCel53rdVFcVg8kdse/rpZr9Ep0Rx0XUYb7urccBKBWKjBanD8pKgjNETMsgiC0u8M7SlCqJHqPjmlTO8eXiSbc0IOju8rI3mglIiKC0c3czCxJEgPnz6cuJobaJ56k9K8kl6fKpCfuZtriL7jgi1eRldB3SDBVVY7MskFBQ9xuN2naGwCYIuqwGqraPM7Jo4cTUV/LmPS9bE4IZd/kodxQXoDZJqFQS2hV7i8JJYb7kl4ork8R2k4ELIIgtLsjqSV07BWCqg17IY6TJIkug8IBUCt0zJ49u8ULU1VeOnp8/hl2tZpjt96GvrL5JGntpXDx22CXibjiJiTprx+7bUhYq/OPJsI6BoDsLW+0eXySJLFp3EC+uekKEjrGotGoeW7GRUzIOYK/wb2lq+OSYwPZX+B6wFJWvo4dO/6Pur9uqhYEEbAIgtCu6qtMlOfV0amP51IVKBQKfGKsyGYlNVWtf6D6xcQQ9dZbeFVVsevGm7A5ceGfp1Tv30j9vIXYknQEdB5GQEB/AAoKf2hTuz3HfwhAfV3zWcGPMxsMfPLT75SVlDV43WQ0cf53vzFjwW9otZpGp6kGhnhTrfRi77Z9bo+zW6QfZXUmyutMTtex260cPPgM1TW7yMx82e2+hbOLCFgEQWhXR1JLUCglOvYK8Vibhnoj9eU2JFlJXXXj0y1NiRo2FO0jDxOcns62hx/x2FhaU7V1OQCxL76OJEloNMH4+nanri7d7TbtdjsbvusKgNLQcgZaq8XClJ/X8HhQDCNS0pm24HcGLlnLkz/8zqdL/2B3ZCwbImK5dMFvjfoYeV5X/CwGflie6vZYkyL8AEfGW2eVlq7AaMwlNvY6yspWU1d30O3+hbOHCFgEQWhXpbm1+Id6ofPx3F0yP3+0CYxa8DIQEeN8IJQ0axbGSy4haOlSdn/wocfG05K6teuxxWsJ6jb2xGtKpXeb27VGy2CD7tNbzo+VkXGYfRGOvUN6jZYM3wDyAoL43D+cZ4Mcr3eoLGNHdEfuXPArBr2eksIiZn69hPPrFUhaiTK9cxmHmxIf4o1GpWh1WchqrcdgyKGyajtZ2fMJChxKl8Q5qNXB5OZ94Xb/wtlDnBISBKFd+QRoqC03OpUwzlllmRZ8YiSunXs+Shc3hPZ57n+kZmaiffttMpO60Hns2NYruSn7y6dQ7CiDEbENXrdaa5Ak9/fzGEocMw4Jlmsb3d92nMViYfHmHXxRUIZ3YCjbBiUR4OeH3W6noroGS1UlQwod2XL/z2agoDiHH0KiyV+yGqXNyqa4BAAqQoJYb3A/wFIpFYxMDOXXvQXcMiqhyTLl5RvYveeGE99LkpqBAxahUGjw0sVis7U9q6/w7ydmWARBaBdlebV8/8IOdq7IITTO12PBysE92UgWDd7+alRunF5RKJX0/eQTLMFBVD78CGXHjnlkXE2p/foXbJ29iH+uYUZaX98eyLKFvPxv3WpXPrEHp+nnf/WH34jbuJ977F5UKNW86CMRFhqCRqtB56UjOjKcjt26sjRUw6TiXKYP7ssbV05DoVSyNSqOTbGduKM4GwBblDf19ZBSWOXWWAHGdgvnQEENRkvTe4eOZTnulwsJGUv/ft8yeNDP+Ps7LmaUsXtkRkr49xMBiyAI7SJtfT4lWTX4h+oYMrXp36zdsfqTg8hqE+Om93W7DbW/H10+/RS11crBm2/BUOv8/gpn1R3egzLHhM+MyXhFxjd4r0f3FwGJrKz5brXtE90TVZWK/PrvkeWGx42e+nYxL4c4ZnSuLC9k8/TJTB81tMl2+vfuwZdXTqVTxzgAzH8Flc8YK5hz6QWsiQ/mp0ExyBJc8cFW+ry+1uXA5dM1P/Hh2i1Y7TL7c482eM9qrSU/fwHV1an07v0efft8TFDQEHx9u54oI8t2JEksBggiYBEEoZ1UFenp3D+Ma/83nLgewR5pM/doEbJZRVQPb8Ki29amf2IiYS+/RGBBASm33+7xk0P6bMfJGv/BjZecFAo1Om0UZnNJk7ckt0aSJAL0XTGF1HP05ydOvL52ZxofRnUipLaG52uKeOP/LnB6Zsv2V+DTQafh9gvGodFq6NGpA306xSLJIBttVBfr+Xpf40sSm1NrqOU/K7XkVvsxseNa5Jp3sNutVFRsYtu2Kazf0JeMg48TEX4RYaGTmn5WJJBP3aku4cwlAhZBEDxu79pcCg5XEdfdM4HKcet/cAQB/ccleqS96IkTUd95J+GpO9ny9DMeaROgNGUJJS+/jCyBzr9Dk2ViY2chy1YOpD/kVh+9ZyxEWaMgz/g9drud3IOHeORoET0L89h7wTBuvPh8l9pbV+6YZQrTNJzNsMmOgEpWSqBW8OvWXPJqDOzLzGP/0dwW2/x5+zoApvby4n+XjaW64jfWre/Brt2zUKn86dH9JYYOWUWvXm82G1jZZQt2u9mlZxHOTmKeTRAEjzIbrGz7+SiRCf50Gx7luXbNZsqzjSgkNZGxnjsinXTXnezJyCDoxx/ZmZRE/1nXtqm98p3LKLllLpJOgd/j1+AT063Jch073kJO7qcUF/9MUOBgYmKudKkfu9WMzd+OUaPj0KFDPLbrMNV+QXzRsyNKtesnst7Idlyk+HVyw+U7X42a924dTJi3BqPVxrXzt3LvS1/QW+Uo/yVapl32f4xI7tKozQBvb8DI/RMSiIiIR+cVS031bnS6aEJDJ7Q6+2MylVBff4j4jre7/DzC2UfMsAiC4FGL5m3HbLQx+ZbeKJWe+xGzc8s+VDZvOo/2wstH57F2AZLfeB1jYiKKV14hc/Nm7G1YHip67TlkXyVJf2wi7prHWyzbs8drAGQcfJx6vWubf3M3vMFn3MxNXt8wptDI5sg4hlYU06N7kstjLjCa2VGjp6ePjiB1499jpySEMSgygPNig4mK9aO7sgS92p86bRhemPhlyeIm292dXYRSsuLn5cjFEuDfh7i46wgLm+jUUlVFxUYAgoNHuvxMwtlHBCyCIHhUdYnjCKpvkLaVkq6pzDEjY2fEpP4ebRdAUqno/fnnyD4+mG+8iX19+5G3caNLbdjtdo7Ovw/FjnLUF/dH7RfYap3g4GEkdXkagPy8b1zqTxObzB/SBSe+71eUx1Udo11q47h70nOQgVe6xrVa9vqhMagkO96WGu6ffS3aDn3wsuspLmt85cGn2/2J8KkhLMC9GTG9wXFSSWy6FUAELIIgeFiXgeH4h+oanV5pC5vVxtFtNaC2EBDs67F2/04TEkznTz+hJrk3SpuNwkfnOL0Rt77wEOmzRmF6cwVM6Ein219xul+brR7A5Wyuq1WOD/GvOpvIHJzEsqsu4oLRw1xqAyDXYGJjVR09fHT0C/Bptfxt/RLQRjiW+lLSM7h04ggAVqWkNSoroyA+sMLlMR0XFXkpCoWOw0eed7sN4ewhAhZBEDwqvk8oNWVGijKrPdbm/h1HwapC7eOZXC7N8e/enSGLFqF76UV8y8vZ87JzgUfWs7NR7CjH2tuHbm8vQ+Mf7nSfOi/HrEZl1WanTgytydvO4zt/5NHCOAars5gQNxgfH/fzlNyTngPAW92b3hzclIumXgTA2v0H6BbneNbt+xsGXMdzroxJcn/jtbd3PJ063UNx8S9YLOLG53OdCFgEQfCoxAERaL1V5GZ47lbkw3vykSU71z09zmNttiThwgupGjQI9ddfU5Ge0WJZ2WqBbQVYJwTS7fNVLifIi4y46ERitH3772L7jv8jdd/DTZbNqy3k6sNqPqnuDMA7yQPalJAvy2BiS3U9yb5e9PJzPujpFO4IUoLzsnjk9bcAqKrRs/RY6YkyRVWOTbkhfgFujw8gQDOI2K0PU/zVZuxG968IEP79RMAiCIJHSZKM1tdKVXHrtyg7TXb8j85L47k2WyBJEsmvv4ZZp+PIffe1uAnXXlmKwgC1cWUc2TIDu9n15+7dy5FArrR0BVtqLFxYOpP5+5c0KLOuYDcDdxSf+P6ZqDI6+Le+56Qldx9w7BFxZXYFwEetwjDAsfzkXe1Y8imTfXhtfeaJMgdyHYFefETj00POqjq2j6qPs/Gq6gKHfKhekeV2W8K/nwhYBEHwqN17bqW+uoZje/PbdNrm70Jj/JFkJccy8j3SnjN8QkPxefQR/LKzSXvp5WbL2WqqAJmIVCuFZLJz1SBMRSku9RUSMpLBg5YiSSqWMhWAZ0vi+SVz1Ykyjx3KO/HP78frub3bBJf6+Kcj9Ua21+jp5+dNN18vl+pKksSLUydz1e134D94OJ3Pvwhdch8OH6rgUKVjT46/zrHpen9ekVvj01flUvdBJer6UNSX2vAdEY0+tUTMspzDRMAiCILH5OZ9RUXFWqIGfY7VpGHlN+7dlfNPKrXyr/8/tadFuk2fTuWwoSi++YaytIabSmVZpm7h22ReeDkg4RvamwGd5mFQWdi650pKUp5outFm+Pl1Ja7/GvZI/emqKgGg2KY50VeN7Fiy2TM0gUs6DW/zs92b4di78nZ392dpukaG88CUSVw7dCBzz0tCkuD8tzdy8cIdpOcHAfDUUj1mqxVTXQWH1r1E2vJHsNS1fhVCTY5jhsYaW0rEkDH4jY5FttrR7ypxe7zCv5sIWARB8Ii6ukMcOvQMAJOnv0/XUZVkbo5h/U8/tbnt9M0FyEoLMZ3C2tyWq/q88gpmLy+O3v9Agxmjmo/nkfv0ewAo1HZCnniTgM5XMGTEWoKIIK3uO/YvG4G1zvlZoXcP78SHel5IctwFtKmign3lR4lfu5Uygrk1uJgIL/82P1NGnZHUGj0D/b1J9HFtdqU5A6MC+Hr2MGSTjT27inluddaJ99b9fhcbtw4h1/4BJZof2ZDSl6K0ZS22ZzdZAIia4bjaQOmvRRPriznX8/c+Cf8OImARBKHNZNnOgfRH0GhCGTliKzptJOOvuoyOA/PZtzKQP392P2j5c9lOTCVa4vp7o1Cc+h9ZPiEh+D3+GH55eex93nG81pJ9iNIPv0ahsZO0YSVdNqxHFd0JAI1vHL0nbaaH7/9Rqixk28bRVB74oNV+ai1GfqkNYapvAcMienC97z6WGzoxYW8NJsmL0V4lPJvc9H07rron3bF35e0eHT3S3nEjY4N4c2Y/LN0CSPLW8N20XtzVZTUK31WgsKPTJxBoGA1ARdGWFtuSzY6lH6X2ZECl8FZjq7N4dMzCv4cIWARBaLPCwh+prU2jd6930WodsyCSJDHlxqvp0L+AvcsCWf39l1gtzu8/KMwp48DOTPYsL8KqNDD5qsHtNfxWJV1yCVUjR6JasJDS3bupeOlRbEY7nb7+BGV4HIqgyAblJUkiavCLDEn+Fp3di51FL5GxYhzW+sJm+/j8yBYMspbbE5IBmNNrEqNV+wEYrM5m4dBJbToRdFxarZ69dQaGBvjQycuzyf0AVueWExjlw+KHxjBseEdun3YnkuxY0jN6HaPKaz1+9QOIH3Bbi+3YLY7ARKE9uQxorTCiCvD8mIV/BxGwCILQJlZrLUcyXyYy4mICAwc2eE+hUHLhzVfTsX8VGatj+fjB5Sx591sOpm5rMSlbZkYOP87bxdoPs5FMOpJGBqPzPr0fVH1feRmjrw+FN95IxeoMAs9LQpPccsp4r8ih9J+8i67aSRQpstj650jK0t5oVE6WZb4qsTJUnUnXkO4ABHqFs/C8mRwYlsCiYRd67Dnu/SvvyjsungxyRmG5nsVKC9epvPHxdtxn5BvWmV4x76EzJBCnnQ2yRFjERLyDY1ps6/gMi6Q++TGlifHFlCPysZyrRMAiCILbZFlm69bJWCzldO7c9K3DCoWCi269jAvv8yeubxmlxzT88VE9Hz/0G79+8A3pO1ditzcMXvZuyEaSlQR2seEVbWbQuKYvEDyVvAID8X/8cdR6x9UDoc+861Q9SakidsR8hiZ/h6/Nhz2lb7Nv5SgstSdvOl5deIAcexg3xIQ2qh+s80en9Mxm453V9RyoNzIqyJfYdphdeT81C5UMNw+Ob/B6RPcJjLhwFUkjH0RlDqa+KrPpBv5GNtuQJSvS3+6j8uodirVYjylbBC3nInFBgyAIbqut3YfJXEx8/F3odC3fYxPfbSDx3QZit1vJTNtO+tY8CjL8ydml4k+fH+k1XsWwCy6ltkpP/i4jkr+eK++7CKVSeYqepnVJ06bx2w9f4m230D3ctdM1uogh9Dl/F0XbHuBQ3a9s3TyG7tH3ENr7Xj7LPkIUOi7s2L6J8e7LyEEC3urm+dmV6hoj32LiSklHsF/TwVBd8VGs2nKK+R5ppYoeE//b7DKX3WpHUjQMZHVJQaijfSj9aC8+/SIIvKRzg4BGOLuJgEUQBLdYrbWkZ8xFowmlU/zdTtdTKFR06TOMLn2GYbNZ2fXnFxzaamLXL90oyvwKjX8Ckqyk79j4MypYAceM0qHOCXSPcC+BnaRUEjX8TYJLriV9+43sKX0LzaIPWB/6BbeH5KFUqj084pO2VNZySG9ifLAfkTrPJ+D7PCULvRJm929+I2/pkT9O/HOR6jtCdo8kst/5TZaVrXZkZcOARVIpCJ/dh9r1edSszkEZosN/TNuS5wn/HiI0FQTBLVlZ86mrSycp6WkUCvd+91EqVQwccxNXz7mD/tP0FKVHkL3FDGoLA0af/mWgfypJ30qN7E2XpK5takcbPpA+5++ie1k4K0NHYJXURJvUyE7cJeSuBw/mIQFvdvfsySAAU72FTy16pto1xAU1n+I/MGoQCqsO7AoUNh1H8l/Ebm7m1I9RBkXjfx+SWon/hI74joih5o8crGUGTz2GcIYTAYsgCG6x2Y146ToQET7FI+0Nm3IRieevxCdyH90m53Isexk2mxWjscoj7XvCke2rUGGl4/DL29yWpFQSPWMLd3SfzUTzfh6rj+WGFT9SUVPmgZE2tL6ihqMGE+eH+hOq8fzE+oJtWRTrFNyd3PJsR1BCP0aM3MzQ/qvp0+UzTN45HN74BsUZazCUn8yIW1+Si2ZfAjaf5q858J/UEaW/hvJv0jFmVgEg22TMhfVYSvXIFs9kWRbOHGJJSBAEt9isnk/gZdfuIG7UEiwWHQWFRgoKH8RuVzB40HoCAlreI3MqZJXU0NEb1Dr3b0f+p6io/nwV1Z+lO1fxoCWCiVv28EGXEAYm9PVYHw8fzEUBvNbV83tXLEYr8w21jFGr6RnRelI7jXcAGu8AfII7EHFoBnmq98krAGWWPz07vUmJtRzbsUyCGYLfhOYDIIVGScjV3Sj/NoOyj9LQJgVhLdFjqzI5CqgkdEnBqMO9sdWY8OoZiq5HsEeOhgunhwhYBEFwk4TBmOOx1gyGWpCPzy5I2O2TUShWoFDYKSjYQUDANI/15a4yo5JuIe3T9pT+E+lTfJTbU3dzybEAHi9ezu1DJzf7Aas3GNj651aGjRiMl49Ps+2uLKsmx2jh4rBAgtphdmXRtiyyvBW8+1d2Xlf0GP8/NBtDUdl9KbR9z978GwBQqHwIZgjluTbC+jVfXxPrR+RDA6nfXoR+ZwnahAC8+0cgW+1YCuowHa1Gv6sYW7UZ/c4SlP4atImBjnJ9whscmRbOfCJgEQTBZbIsU1W1najIyzzWps2mB0nCblcSHf0Eyb2vZMOGe9Ab/qBjx7Ee68ddVquVKpuWkID22xgbE5HAT+OjmLf2e541JrPlj195c+QEgrxOzujUGYyU6o08s3wdK6LjIeUwKZ1D6dAhlpriYnzDwhpkBL7jQDZK4OVurgcUrbGabbxdV8NolYoBMUEu11colSSNfhAA5TYvjtQ/i92uBE09VpUeQ0nrm4MlhYTvkCh8h0Q1eN2rWzD8dejKVmvGlFmFOb8O0+Eq9DtLqPzhMGGz+6Dt2ParDoRTQwQsgiC4rKZ2LwZjDknhT3qsTV/fCMaN3Y5SqUapVGG3W9Eb1mOx9MXb289j/biroqQIGQWhYeHt2o9a68VT589i6NafuLcmlAl/buXDnvEMiElg6/ZdXFL314xLdDydSgo5Fh7F4MwyyDw+O1VISpcIOsRG8WZWMXU2O718dfirPP/j/vuUbLK8Fbzdue3BUGy/q/nxnS10CU3GO/YVLKp6ZL1nZkCUfhq8+4bj3dfx306/t5SKbzOw15o90r5waoj5MEEQXJa2dzYKhYbAwCEebVej8UL5V5K0Xbs/R62uI6nLLI/24a7itHUAhHTqfUr6mzT0MlZ19SPKVMa0jEou+u6Xk8EKcF9NMX9eMo5FvjKji3Ib1H1g9WYAPsorBeCnfokeH5/VYuOtmmpGmRQM6hDc5vaUGhU1NRGkHi0mvuMH6GUdklFutZ7B4PrdQl49QkAhiXuJ/mXEDIsgCC6zy1bCwy9EpWp+70RbFRV9BsTTtWvTeTpOtUPpaQRIdnwTPBuktSS2Yz++3von7/22kbVDRzEpP4sXRw8iKu5kWvtRg/oxalA/rHYZlULirYU/83yHzkSu3Q3AcMlK2r4MRvTt5dGx/bg9h2NeEm/Gt5xi3xm7ft/Cz9tXAOAja+nceQJ7dKuQzC0f8170dgp98o2E3T+A4Ajn/yxKKgWqIC3WCnEk+t9EzLAIguAyL10MZWVrkeX2yRuSlfUnOl0RUVHXtEv77tBp1NhkCeRTe1zW+Mcypu9YxcrrLuPLay5pEKz8nUrhmH259aKJDCjKO/H6ZlnF5ZVWItfuZsHGFI+MyWa183ZlFcONEoM7tX0XcsEhx+Ztf6U318+8HgBJAZLNsV/qyG+7KTzQcIP3sfRShueb8EFi5+pjLvep8NVgrxUzLP8mImARBMFlAYEDsFqrKC9f1y7tHzz0ORaLF717XdUu7bsjMaEjdXhTlX/4lPUp2+3U7c7Ct09HJIVzP651Pt78ftVFFI3ty+4e0dxSno/OaATgPouGyLW7iVy7m8qqarfH9cvOXI54SzyQGNV6YScYlVaC8OWBJx8hLOmvNiN1hBi8OfRtCrqNtVi+PIbF6NhzYrfZyV+QQb5CpkghYytoPl9LczQxvhgPVWA3OX+DuHB6iYBFEASXadShSJIaf/++Hm9blmWQtyJJQ1GrdR5v313HjxfbT+GPTfOW37HUgt/ki9yqHxkRzn//70L2j+nLsSFJXJd38tLBh39b41abdpudt0orGGSQGNnFMxuQ60z1jT6Nes4cjkFlwSfNEaQoUGAxOWZENiw6QLwJzBPiqIj1plOZmapy15Z3fEfFIJvtVP2ciWxvfa+McPqJgEUQBJfYbHqycz4kOno6Gk3bN1v+kyRJZJm9+L1yHyazyePtu8s72PGbf31ZXislPaf21++QVDLeU69vUzs+Xjq8vL158drL2Z4Yxq3ZB/ktphP7Dx5xua3fd+eT7i3xQEJkm8Z03JGN+zhWX0CHqIZJ4pQqJdY4DXZkyrzqATj0zTbWf7STxD2V7A5RMXJsPH0u7YoC2PFThkv9qgJ1BF7WBf2uEqqWHHEEysIZTQQsgiC4JD9/ATabno4dbmu3Pn6qg7XGeuYumdtufbjqt5WOGYnguFN3x1HdtjR8uoSg8Pb1WJtxcTHcMmEUAOML6vho+Vqn69rtdl4rLmOAHsZ2i/DIeH5fs4JQhT8Xzryk0XtJNw0j7LGB9H58IuWdbATkKOic6QheRt7aB0mSiIjy43CUjpjMWqoqXZtl8ekXTtDlSdSnFFGzIssDTyO0JxGwCILgkvKKDQQFDcXLy/OJyAByKvdRaDYSqvJllX4VX/75Zbv044r6sjyKLH4MCa7BN/zU3A5sPbobQ6EFvzGjPd52XGwU3ynq8a+r5W2T86nqf08rIN1L4sGOnglWAHRKDRpZjcZb2+g9pUqJl783SpWSPreNIeyh/uyLMPMKBpbvOrmXaMD07miB9R/vdrl/n4ER+I2Lo3ZdHna92IR7JhMBiyAILjEYsvHx6dJu7f90YD5K4PuLF5GkSuKNI2+wO2t3u/XXmvKMTXzx3it4YWTIlJmnrN+ab+aDBL7/d0u7tD929AgeNlVR4h/IoezcVsvb7XZezy+jvx7G9PBcwNIzoRsFcjmbf17XalnfUH8m3TuWpRjZmVV64vXwaD9yYrwZUG5l5f82YXZxI60uMRAAa9WZswQpNCYCFkEQnGaz6TEaC/D2im+X9ivq8/kleyMDAsMJ9Y3jg4s/wAsv7ltzH9V690+1uMtUV8PX363CgJbrrrma4MQBp6Rf2Waj8veN+PUIQhXTqd36mTZiEACjjpZzz9c/tVh22f5CDnjBg3HhDVL/t9XwGeMBWL1zA3Zr68fkFQoFoVobx8r0DV4fdlMfjqlketTZ2bDwgEtj0HTwR9Kp0O8qcamecGqJgEUQBKdVVGxElq0EBQ1rl/bfT5lDpcXGXQMfAyDUL5TXRr1GlVTFHYvvwG5vn7wvzfn+9Q2oikdxyXlDiExMPmX91v/wHuYqO8E33Nqu/URERfJsvWOmYlFMQrMbT2VZ5tW8UvrXy4zt5ZnNtscplAqC8cUm2Vn3xVKn6sT4qcivbZgPR+ut5rz/jSItUkPnA1UcOVDaTO3GJJUC32FR1G8txG4+tXl2BOeJgEUQBKdVVm5DqfTFxyehXdr3UqqxIlFvOZlXY0jnIczuNJu91r289MdL7dJvU/anHKU6/69LB4tdz/PRFpVffYk2VInXlOvava/bLpqIr9GxWXXrttQmyyzbX8QBHTwQ49nZleNuuX820coQ9ucdcqp85zBvSk3KJgPYMbf2p1wBJd9lYHIybX/Z4ULK/8xCttix6MWyUFNsZ8DRb5f+5M2fP5/k5GT8/f3x9/dn2LBhLFu27MT7RUVFXHvttURGRuLj40P//v358ccfW2333XffJT4+Hp1Ox5AhQ0hJ8Uw2RkEQPKumNg0/vx7t1n64bwcAAnUNj0vfNuY2RmpH8m3Bt6zYv6Ld+j8uLeUI6z7NQkbGR1NLbsapW44y79lI3ZFagi873+lkcW0VqXcEZJcaVFhMDT+wZVnm1dxi+tXLjOvjmURx/+QV4IOPjw8aybnbYjqF+WFBSWFFbeO2vNWYR0XTwQKp67JbbKfoYC7H5qzD+MkRjDYTO1SZ5JScumPrZwpZlskur+f3vYW8tDyDm7/YzuiX19Lr6RV0fWIZCXN/p/NjS/lgfWbrjbUjl/42xMbG8sILL5CamsqOHTsYN24cF198Mfv37wdg1qxZHDx4kF9++YW0tDQuu+wyZsyYwa5du5ptc+HChTzwwAM8/fTT7Ny5kz59+jB58mRKSsRaoiCcSUymYqqrU4mOmtFuffyUuYxuPr70jBzV6L3XLn2NGDmGJ1Ke4Gjp0XYbA8De9VkATLojkYR4E7mloWA9NTf7Vs5/EaUW/G95/JT0B/BAkNeJf371x98bzFwsO1DEfh08GB3WLrMrx5XUllFor2DNV0spyiposWzNXzMngT6NTxYBhCQGAaDTKltsp3DdEdQoKQs1EnZrMhUJdr5bsIBFixZRWFjoxlOc+QxmG/vyq/lpZx7//e0AV3ywheRnVjL65XXc+e1OftyZh8UmM7F7BPeO78JjU7pz51jH5Zmhvk3/+z5VXLr8cOrUqQ2+f+6555g/fz5bt26lZ8+ebN68mfnz5zN48GAAnnjiCV5//XVSU1Pp169fk22+9tpr3HLLLdxwww0AvP/++/z+++98+umnzJkzx51nEgShHZSUOmY2AgMHt0v7BTVHOaTX83DPaU2+76X1Yv6F87nityu4/ffb+fnqn/HSeDVZtq3qqkyoA5UkJXdEVV5M2qE6qvelENB3ZLv0d5xcU0LVpkMEjkhE4RfUrn393WXjRnK+wcDsxSt5IyqBN9bvZUmsnSGJ/Xgtp5i+Nplxo6LbdQxJwfFsLz/AhswUdh/bxwNPPdJs2U7h/kAVqUcKGdW78abkqlI9PkBYWPMXItYVV+OfDaUBevo9NBmAWXGz2LJlC+vWrSM7O5v77rsPtVrd1kc7bSrrzaQX1nCgsIb0wlrWZBRT+bej2x1DvOkVHcDtYzrTKyaAntH+TQYl7607gk6tYLKH9y+5yu1w2WazsWDBAurr6xk2zLEBb/jw4SxcuJCKigrsdjsLFizAaDQyZsyYJtswm82kpqYyYcKEkwNSKJgwYQJbtmxptm+TyURNTU2DL0EQ2ldFxSYCAwbh5dX223mbsmj3fwAY1qH5NPTx4fH8b9D/KKaYexbf0y7jMBktmCvU6AIdv53HDO6LhI3c7ent0l8DfzyDUmunfm8WtvJT+xu+t5cXX1x9MVesW4aPQc8leQre3ryDfcdnV5Ttuzx14d0zeGLO4wyM7EmNXU/Gxr3Nlr1gYBISMuv25TT5vv6YYwkvf9FBln24s9Felz2frKfq9b1o7SpCJ3U+8bpKpeK8887jjjvuoL6+nj179njgyU6Nklojv+0t4KXlGdzwWQpDn19Nv/+u4uqPt/HyioMcKallYo8IQn01vDq9D3ufmcT6h8fy7sz+3Dk2kdFJYU0GK7Iss2RXPpN6ROKrdWmOw+Nc/hOYlpaGr68vWq2W22+/ncWLF9Ojh2NNe9GiRVgsFkJCQtBqtdx2220sXryYxMTEJtsqKyvDZrMREdHwTH9ERARFRUXNjmHevHkEBASc+IqLOzWJnAThXFVTk0Z5+XrCwia1S/uyLLM0fw/9/YPoEt7yCaSJvScyK3oWW41beWP1Gx4fy3evrUEhq4jvGQqA1kdDZEA5uZntn1RMSl9M3JhaLDVWci8eiSml/ffr/NMj6ct4/7MnAXjerEZttzO+b/vOrhyn0qmZcsvlKGUFOQebv4G5rEaPjERUYNMzbL3GdSRfKRNhkel9tJ5V7+3EarJhstiw2+3oMi1UeOnxuTmJuAGNP59CQkLo3r07W7ZsOeUn09xRWW9mypt/cte3u/hpZz4Al/WP4e2r+vHHA6M58J/z+fmukbz0f33Y8cRELh8Qi7/OuZmjjKJaDhXXcfEp+jPQEpfDpa5du7J7926qq6v54YcfuO6661i/fj09evTgySefpKqqij/++IPQ0FCWLFnCjBkz+PPPP+ndu7fHBj137lweeOCBE9/X1NSIoEUQ2oksy2QefRWtNpLY2PZJnLb+2A8Umq081M+525kfmPgA+xfs57Pcz0g+kMy4HuM8Mg5ZlqnLUaINMTNq6sll7NjOGvbuisWur0LhHeiRvhrZuxAserTnP0hcbwMFb/3A0evvJWRCD8Je+RZJc2ougjTlldO7Wyw/htWycudSrpC8UCj6n5K+wXHM2UvSYLQ1v2fIR6tCiY2PNhylSm/hocuGn7icEiAs0g+/p4Zhk2HLwnR6pldT9PRmAI7GaUmwa1GdF0RQYvMJ8EaMGMHHH39Meno6PXv29NwDtoPHl6RRVmfmt7tH0ismwKNt/7KngAAvNed1CfNou+5weYZFo9GQmJjIgAEDmDdvHn369OHNN98kMzOTd955h08//ZTx48fTp08fnn76aQYOHMi7777bZFuhoaEolUqKi4sbvF5cXExkZPNrZVqt9sRJpeNfgiC0j7KyP6io+JMuXeaiULTPpruv0uYTqVEwvstNTpWXJIl3LnuHcDmcuVvnklWa5ZFx2Gx2JBSYyzVUVZxcao4b3BOT7EvJts0e6adJG14GSQmjH8X7unkkrEsh9II+lK9Mp+qVu9uv37+x62sxVdrQJiUxvMdInjy6mMRjv7d7vykrNvHzR9/z03vfsX3xn/govCirKGu2fGigH9cmmLBLKt7dXsXGXY2X63RaNT46NROuS6Z4QiyHAlXkqCEh14QVOxH9O7Y4ptjYWLp06cLy5csxGo1tfsb2IssyS9McKxKdwzx359Txtn/dU8CU3pFoVKc/C0qbR2C32zGZTOj1jqyD/9xFrlQ2fVYeHMHPgAEDWL16dYP2Vq9efWJfjCAIp4/NZuDQ4f8SEjKacouCtIKVHu8jvWgjO6pKuDR+LEqlxul63lpv3p/yPjIyt/52K/XG+jaPRaVSog13HOv19j05oxHRuwsahYG83S0fk3VbVR6UHYaOw0HtCAoVfkGEvboQ/4FxlC7cgC3/YPv0/Tfm1DUgS2j7DEFSSFhiLkFjz8D4zXMA7XKj8YYvV7B0yyr25qVzuPgYv+9ZTbG9khJDRYv1nrl1Oqsed2zQbm4vy3EDJnRi3JxhaCc7gpQKYE9BZatju/DCCzEYDPzwww/U1jY+Qn0mOPRXjqAHJybhpWn5VJSrduZUkVdpYGqf078cBC4GLHPnzmXDhg1kZWWRlpbG3LlzWbduHTNnzqRbt24kJiZy2223kZKSQmZmJq+++iqrVq3ikksuOdHG+PHjeeedd058/8ADD/DRRx/xxRdfkJ6ezuzZs6mvrz9xakgQhNNn98F5GI0FVCoTKMi4nZKM2Xy3fjI/bLyUVXuf9Egfr6Y8TYBKwXX9n3W5bueIzrww9AWKpWJu/+l2j+w3kFQg+ZjQaE4GTwqlgpiwKnJz2+nEyMonHP8/6X+N3gp/7j3sNomC26/BvLf5wwieYNzpmEHSDnaky1eNnQWA7vBLmJ4bj+U/A7FXt/5B76zizALWHN1Cj6AEHnvycR589CE6+zou1TRKllb/ewb5aAjX2diV71xiv/4j4tjbx4+nMfDoolT0ppb3JQUGBjJjxgwKCwt599132bBhAyaT+4nlUrMrefOPw7z5x2HeWn2YRdtzKa9zvb1DxbU8sSSN//x6gIwix0zg+e1wgufXPQWE+2kZ0inE4227w6WApaSkhFmzZtG1a1fGjx/P9u3bWbFiBRMnTkStVrN06VLCwsKYOnUqycnJfPnll3zxxRdMmTLlRBuZmZmUlZ2c6rviiit45ZVXeOqpp+jbty+7d+9m+fLljTbiCoJwaqUUprAr+ztAxl7yGflmiXRLKDZTLjb9PuTSbzlWkdamPrbl/Mq2yhKuT5qCj9a9tfdxPcZxe/zt7Lbs5r9L/9um8fz5+24MBWo03o1vMI7rHkSRvgPmkpZ/m3eZ3Q4Hl4JfJET3bfS2umMiMXNuQZ9VS+YVN1D+5PXI7bQR1JRxALUfKEMcCeLUiT0weY8FQGvZgUY+gmX5xx7rb++GHQBMu2k6SpUSlbeGax+62aVl/j6RXhyuUWCztZ5SX5IkplzVlxmTo8kzaujx9EoOHGs550tSUhJ33nknvXv3Zv369XzyyScun0y12uy8tvIg09/fzGebj/H1tmy+3JLFnJ/2Mui5P7jywy0cKWk96NqZU8nNX+xg0usbWHWgmMW78rh3wW4Ajy/Z2Owyv6cVclFyNEqF8zd6tyeXNt1+8sknLb7fpUuXVjPbZmVlNXrtrrvu4q677nJlKIIgtCOLzcJ/tv4HHymRqZoqQuQShvb7jKSI8wCors8lZesYUjM/olPwW271YbdbeWnbf4nWqLi239NtGu/sMbPJ+DGDH8p+oOu2rlw55EoXx2LnkydXYi7XIKGg74QOjcrEDeuHfV06BZu3EX9J4/fdtuMTsJlgyOxmi/hd8yBdLrqGsidnU/L9NiyF04iYvxjJwzlCTFn5aP+xaVN51auYsg9jzS1Cl/EUUvZa4GGP9FdRU0Wgwgedb8PTPgEBAdTU1LBmzZoGaS+aMq57JKuyzGzcd4zRfZo+kfpP145N5rUNBVQabFzzSQpf3TyMnvHN/5Ls7e3NhRdeyODBg/nqq6/45JNPmDVrFiEhrc885FXquXfBbnbnVnHfhCTuHJt4IgAoqzOxbF8RTy7ZR2p2BYnhze9BWbIrn/sW7qZzmA8v/18yF/eNwWKz8/aaIxRVG4gK8GxOoq1HyymtNTHtDDgddNzp30UjCMIZZ2X2SrJrsnl21OvMHLeZMaN2nQhWAAJ84iiTQjBW/el2H8sPfsghvYEH+t+NWtX2H7avXPwKiYpEXjrwEqnHmr4TpzlbV+3DXK4huKvMDa8OY+DoxtcPBHSIxE9TRe7+5jeDumXzW6BQw/CWN9YqAiMIf/snIq8fR+WmI+RNH4O9pspz45BljEV6dAnxDV5WxXVGO/J8fK66HpPPZDT6TVhS13ikSx+dN1a58WzRjTfeCMDGjRsbHcr4p0uGdsVHYeHNFftd2mOz6+nzeefiePQ2ias/3urUXTlhYWHceOONqFQqPv30U0pLW75gccX+Ii5480+Kqo0sum0o94zv0mC2ItRXy7hu4QCE+zd/Cqyi3syzv+7nouQoVt0/mukD49CoFPhoVcy5oBtvXNnP4zMsv+wuoGOIN31iPXvqqC1EwCIIQgM15hpe3fEqQyKH0C24G5Ik4aVpPEUfEDyBCEUNuZX73epnddZSQtUKJna5vo0jdlCr1Hx06Uf4yr7cs/Yeiqoa53IyGS3s/DMDu63hh+SBTfnIGiNX3jcOb5+mgydJkoiLMZBb5OdYxvGE0oNQlQOJ40Hh3IbJoDnvEjd3Fvoj5WRPG40157BHhmLNPoDNIKHt1fyt1IpEx1Fv9a+XYsloe1I1m92GgsbLDZIknTgp+u2337bYhpdWw42DwtlZoWLuF3+41P9Fw3ry2LhYqq0qUg/lOlUnMDCQG2+8EW9vb7766qsml4fsdpk3/zjMbV+lMjIxlKX3nseAjsFNtAZF1Y4TSJEtBCzPL03HZpd5empPFKdgecZktbFsXyFTk6MbHBc/3UTAIghCAx/v/ZhSQyk39W75iPHwLnciA1sPv+dyH3a7jdSKHAaFdPbo/TShfqG8O/FdjJKR+5be1+C9P75P4aP7NrDlmwK+f3fdidf37TiCqUSLUie3+sM5rncMlZZo6g63be/OCSv+ui9o8nMuVfOd9Rgd3/4P1moTWZdfjCl1XZuHYtrumDXR9m98j9Nx6kETkGXHTgL7ipfd6ufw0Qq+T3XsAzpcno1Rbjrfyu23305ERIRT+0UeuGQYFyWoWZBh5j/frXdpPNOG9UBCZv0B5y899PHx4ZprrkGWZb799tsGG3H1Zit3fruT1/84xEOTknhvZn8CvJpfuiuucQQsh4pr+WpLFvOWpnPvgl3M/jqVm7/YzrWfbOOH1DzmTulOmN+puctn4+EyaozWM2o5CETAIgjC31SbqvnywJdc3/N6hkW3nFog0CeGcikCY/VGl/tJK1hGuVVmbPyF7g61Wb3jejMzZib7LfvZeGgjFrOVr15YxcHVdaj8HKdCyrMcHxKGehPrP84BSeaye4e22nbs8AGAndxtzaeNd5rNCkfXQmA8hDi39+LvdGNnEP/1Z0gqFUdnzqbgsRfaNBxjWiqSUkbTq/l/D8q4JOx37MMYdT2aiqUYf/vc5X5uPZDN3TUVjFm2m1qrHhNW6sqaDkpCQ0ORZZnKypZPJkmSxFs3T2BcDHy2p5bl250/Ah7o64WfwsyxMteOxQcEBDBz5kwqKir48ccfkWWZvEo9l8/fwvpDpXxw7QDuGtel1SC43mQF4N4Fu3n21wMs319EYbURvdkGSPjpVNw9LpErBp665KgbDpXSIdibpAi/U9anM07vxQCCIJxR3t71NjbZxuT4yU6VDw+fgr34M37d/Rhjuj2En67pae9/+iPze9QSjE64oi3DbdadY+/kx69+5LkVLzEt93bsNTq8o6xc+/gEfvpgA6VpOr57dQ12x2cFgy+LJSKm9Q2UukA/wn1LyT1cT/e2DnLTG2C3wsh73W5C3XMYIbPuo/CtV6n+6Qv8Jk7Ab+xAt9oyHT6KNkyLpGr5Y0EZEYU083+Y3zqEdvv9WDv3xLpvE3ajDe9rH2y1n5q/Vr4ydHDovGnYFQpqtqfy+gVjG5U9fqLUx6f5SwyPUygUzL9tEqP+9xsvLd3P+YO6tlrnOJ0Sag2u38YdGRnJ5Zdfznfffcev63fwzJ9V+GiV/HTHcLpFOnfSaVrfaBLDfYnw1xHhrzsjTuRsyixnROKZcZT578QMiyAIADy+8XEWHlwIQM8Q51KRj+x2PyVyEN4VC/lz4yC+XHMeS9P+R8rRr/ht54Ms+PNilqbNa1Rva8k+evqH4a32bGbO47RqLdOjrybP/xil1nI6DFVzw9OTUKlU9B4WD0DFYag6BgovCwMnJDnddly8RF55BLK5jdlPUz4ElQ4GtC3nlLlYQ8gVD6EMTyD//rswpB91qx1TXjnaDuFOlVX4+qG+41skyY5q4QR0+5/GO/M/2PKav/8HwGSzUayBLgbHBlf7X8uB3+mCKK3XNyp/fHYiPz/fqXFpNWomdQ8j16Cipta53CwA/hqJCr3V6fJ/17VrV0KjYlmzZjVJEb78fOdIp4MVAK1KSb8OQUQHep0RwUpRtZEjJXUM7xx6uofSiAhYBEHgSOURfsn8BYA/r/jT6Y12WpUPMyfsoGOvLzH4jUFnr0Jb+hm1Wc+grlyC1piOquRjNhz+6ESdrJLNZOjNZNbXYLAY2uV5AO6YeAtqm5bKXoeZev3JE07d+ydw29ujSDjPG4ABU2Nd2lgYNyARgz2Asp0p7g8ubwfUFUO3i6ANmxrtZSWYjbF49wykwxcfI6l15Fx3I+b8lk+v/JNsqMVUYUPX1flZCUVgEIZOj2CVYjEOeBNZVmHd9H2LdcrqzFgVEveHBDNIDzMMChL1juWg2Rt3Nnw2u53qasetyyUlJU6Pa3TPWCwo2ZjmfOBmsdpQKN1fcNCGdcBfMjJ/Zn+CfZzP1nwm2nC4FEmCkYkiYBEE4Qz08b6PifKJYsc1OwjUBbpcPzF8BJcP+YQZE9Lo0mcREd0+4LzzdjN13D5KCaYm+0UKqzOo1OeTutuRPbXWauLGFTd6+ElO0ig1qCQVeTT+rV+lVnHBzKFcO28Ig8e5drFdZP++qCQTualH3B/cqr+yBE9sW6I74+bNgBLd8EHoOkUR99GHyMY68u55zKV2zLvXI9scKfld4XXd46ie3o9u6vVY1N2QjrZ8u/Tmw45AqkuEH79e2Je3piQT9Vc6+Y0aX2r0JwPY8vJyDAYDkiQxYMAAp8c0vGssSuws3evcrAxAsVlNQpD7OW1iIsJQSHDUxUDxTLT+UCnJMQEEnYGBlwhYBOEcZ7PbWJuzlksSL0GrbP4UQq25FoO19RmRDiED6BU9AW+NHyqlhvGDFiAjsWrn3azY9QCBKpnLwoKI8oliX/k+fjzUcrLJttDavLFIze9N8A9qfW/EPym1KqKDy8jNcvNos6kecrZCWDcIaNspDGNGBWpNEaoYRzp7775JePUbjWn/Rsw5LecvaTCkXZsA0A5qw63X2iA0ph1YjzW94dVus/N6STkj9dCrY9CJ12M1J2c2Pt598oh8WFgYOp0OWZY5cOCA08Pw1qoYG6tgRZaFwvJqp+r4q+1sy62n3uBe2v3OsY6kc8cKnJ8JOhPVm6ysSS9hUk/Pp/n3BBGwCMI57pv0b9Bb9QyJav6369d2vMbw74ZzyZJLKDO4ljgt0r8zctCFRNmPEmDYQYl2EM9O2XBin0xSkPP7R1wVaA9FYffshXAAHZJ8KKyNxVrd8gV9TVo3D2Q7jJnTpjHIZhPGykh0sQ33XviOHwPA7suu4atrvqR6e0arbZUvWQeAKiKmDSNypMaX/IKafHfDvkKOeknckRjVYAnu9dFDeNTLEfwNimq4h+Z4BvSMjNaf4e8ev3woVhTM/327U+UfmZhIiVnF2Od/I7uo3KW+ADpFhQFQWOLhpIKn2KoDxRgsNqadIZcd/pMIWAThHLen1JEArH94/ybfTy9P57P9nwFQUF9ARoVrHx4A5/eZR5lVwizD5H6vArC9aDtB2iB6h/V2c+Qtq6isIU91hCERrR9XdlXs0N7Y0FC4xY3LCHd9BRpf6HFJm8Zg3rEFu+yHbmDDgC9k1lQ6fLmQgr7XUOMbS+EPa1tty5hT1aaxAMhekVgUiShDG2/cLS7Xc2VFKQlGmTFJjd+/MDEehd3G4uyGyzi+vr5IkkRJSQmbN2+mvt65o8edokLoGSSz7FBNqxcoVunNTBvWk7f/rxslFh1zPljM1n2ZTvVznEajxiRpKK+scqnemWbxrnwGxQcRF+x9uofSJBGwCMI5zGQzkVqcSq+QXs1uPP3qwFeEe4dzXY/rABgY4fqxWY3KiyEDviWhx9sEe8dgt9upMdfQJahLm8bfkp1Zu7EqLYzo2HI+GXcEJyXio6omJ63li/MaObwKjFXQe3qbNtsCGHZloZBq0PTp1+g9n8HJTPvwWobuehX557cwZTU/TlmWUahkwi5xfp9I0w01HxisOOhYnnoiJhxFE8+dFBpMkrGOJWYl9n+k109ISKCsrIyVK1fy4YcfUlTUOINxU64e0pFSq5Y/dh5qtsyfh0vp959VJD2xjDt/cJSzW8z8/v3X7MsqoqbeiN7o3HFnWe2Dvta5JagzUXphDX8eLuXSfrGneyjNEgGLIJzDfjj0A+XGcgZEDGBFVsMNkwargUfWP8KvR3/l0sRL+eLAFwBk12S71VdC6GB6xzhubv8j5w9kZPpHND2r4wk1f/02HqBz/oipsyRJIjayhtx8F+9AWv0fQIIJbbvsEVnGWOCLLqwcSdn0j3GFQkHS68+TERnMO4/cgrm46Q2htuJ87FYJTaeEtg1J6Y3afgTzzob3SxlMFt6urmKkQWJKcvNLTsk6FSaFslFAM3PmTAYPHoxOp6O6upr333+fTZs2tTqe/xvRA1+Flc83NB+wXP/ZdmRgYMcgxnULJ15Tx9DkJGQkvvvxZ/73yhv874WXqNW3vndL4+OL1eD8UerT6UBBDaW1J/frWGx25v6URucwX/5vgAhYBEE4A/UIcVzy98WBL3ho/UNM+mES05ZM48rfrmTwN4NZlrUMgKu6XYVO6bjrJMSr7Qml3t71NhISN/RsWw6Sv7Narfy6dRUWq2NPR2ZJFgB5m/VYrTaP9XNcXI8wyo3R6HNbzj1yQn0ZFKVBdD/wanqfh7Msh9Kx2iLw6h3VYjm/4X2QBg4HSaLymyVNt3VkHwDqTm2b7VIMnQmAvPL5Bq+/simTQg38N7lji/Xj/X2xKZVcvWoTlr/d9aRQKJgyZQqPPvooF17oyIzcWuZbAI1axaTO3mwrkUg72vjE0C+7C7DZZQK81PwwezifXj+Idf+5gvtnTEAK7oC6thBv2YgGq1NLRP7+gaitepcuYDwdssrqmfLWn4x6aS07siqorDcz96c09hdU8+L/JXv8EkVPOnNHJghCu+sX3o83x77JdT2u47UxrzEqdhS9QnrRNbjriWDmsSGPEeIVwmVdLkOn1OGtatv6dlZ1Flk1WSQEJOCt9txa+UPfP8VjBx/g8zULAFiVv4Koms4c3VJJ6lL3ZoVaEjvCsTSWt8XJm6H/eBqQYXwbZ1cA47a9gAntsNaXuy5+6SWm7M+n5vffmnzfcthxMkcV28YZlirHDI7KsA97lWMz8qG8Kj6UDdxi09I9NrDF+pkKxzHaNSofnt+2q9H7kiTRp08fAMxm55ZpHp8+HG+ljZs+S6HgrxNDpbVGJr++gXsWOProHdP4NuJn776OWbPvZ+Ll1wKgdOK+q7DQELwkC2XVjRPgnUkW7XBc8hgdqOP/3t9Cv/+u4pfdBcy7LJn+HdoWSLc3kZpfEM5x4zqMY1wHx3HWiR0nNlvuQPkBYv1iWwwyMjN+xuunW8jtPIrkiz/CS9f4B+CiQ4sAeHbEs20c+UnLd6xltflXAL7M/oyeB7pR6J/JqMwZAOxYmkXvMTF4+3vu8jifiHBCvIrJTa+ntXNOst2OYfdKNOpgVJ3HtLlvwzE7Or98FL6tZwqWFBJK/wjszeyvqFm5HEklo+riXkr/49R9R2Jen4RGOoRp6VtghTf8JuHn7cVDo1qfvRkT7M+PNY6gp95sabKMRuMIakpKSlixYgX9+/cnLCyMlJQU0tPTGT58OCqVik6dOgEQ4u/D+1f14eZv9jD9rTWsffxC5vyYxsHiWgAu6RvNazP6NOpHoZBIiAjAWyWxXJZIz8xm3MAeLY4/LjKMY8DB3GLCAtsW/LUXq83OD6l5XDu0I09N7cG2oxWU1ZkY1jmEiBZuiz5TiIBFEASn1FvrCfMKa/Z9k7EK9ZLZRJtNhKevovRIV9JH3k2/8x5H+ttvqBvzN6JWqOkT1viDwh1VtTU8vP8eAO6LmssbhfO4bfsNBFrCeOT2GyhIMbJzeQ6Lnt9Bt6GRDL2ks0f6BYiN0nM0N7DVcsXbtmI1hqPSKGlrhgtbeTlmQzRB/Z1LUibbZez1FXgNHN3k+6acYvx6hiKp2xbMKYLDUM/ZAC9Gojr8DVk6DT/FXQKATwu3FR83vVMMK3Py+dWu4aEBvVosW1RURFFREVu2bKF3796kpTluzz52zLE8d/311xMfHw/AiF6deH6akft/PsqzCzeyOsOxH2X/s5Pw0bY8rsgQf4waf3Jzclodf5e4CDYA2YWljOx9ZgYs6w6WUlJr4opBcaiVCkZ2OfOy2bZELAkJguAUi81CjF/zmyb3/DCTCJOeYzO/o/j6n6n0DaH/2ldIe7MrR4449sLY7Daya7JJCPDcD/Rft68C4K6IR5g1bgYh1kiCrGH8euUSOkbH0ndCBwDqq0ykLs9m1Wf7W2rOJUExQdRagqk+2vI+FmNZCXnmPgTLh7AZ3UtOdqKtTdtwZLd1bkZEv/sIsqkWTXzjeSC7vh5zhRnvPi3PHjjLvPFnAJRyCcGWarR2x7PaLM49czdvR9CUvOMIFYaW72q68MILkSSJtLQ01Go1V111Ff36OU5Mbd26tUHZS4Z2I8bLyjf7DSgliWX3ntdqsHJcRGwndPWFzPvkRyqqm99UGx0WhE2WKCo9c3OxLNieS68Yf3o1sQz2byACFkEQnKJWqlFKzSdh8ynL5KhfKJ26TCEmfgw97jlA+qSnCTfU0PHrK9n02ThWHPoJu2xnbFzjm3ndterYKkIt0dx2/rWoVSrW3bSKDTetIdDXcTrIy1fD1Lv70GOkY4PqoW3OZ4BtTelRxxFbQ1XLp0N0XpBrTkajMFCZuqFNfRrTK9FoslHGdnKq/F9bQ6j65rVGG0JNO9eBLKHrN7xNYzpOCjkZ0Hp7j+D9IMcyVGalc7NBd/U7eU3Cs9v3Nllm7NixzJw5k0GDBjFlyhTi4+O566676Nq1KxdffDEKhYKKin8k9JNlZkuLiaGUhyJ30jXc+Us3b7p0Iga1P6bcNF6Y/3mzm2qVSiVmpY4qJzYEnw7FNUbWHizhioFxp3sobhMBiyAIrUorTeNw5WE6Bza9nGKsLaRLdRGVHf+WpE2S6D78AUIfyuRA72kMyNnJ4RUPopRlruh2hUfGVVpZwV5FCuNCJrVYrkPPEMZe053ACG8USs/diBsa6wiK9v3a+CLEqvR9rH3+c1I/+h5TvYVSS2eMdl8MO5a43Z9ssWKsDEcX2/Qej6Z49eqCwjcSv0s+pPj1XzHlFJ54z7RjAyCjHTLZ7TH9nab/echzS7BcsQ71zR/we4Ej/8uR0jyn6mtVKv786zSRupm8LqNHj6ZLF8eemEGDBnH99dcTEHByxiA4OPj/2TvrsLjOtA/f54wxMLhrIIEAISHu7tJY0yRtU926b7ttvzZb361tu3XdelNPJW0qcXcXEgKBAMFdBmYYP98fk0AINgOT6tzXlSsw533f884wM+c5j/weysvLyc6293qqK8oi55O7uNK2gpVeT3FrzfOk/WcSudmOCSD6+3jxn4f+QWCfUXgaKqmpbV9rRVBpMOjqHVr31+aXtBJkgsDcAd1RM/5tcRssbty46ZDculyW/LIEgBDP1iqlAMc3P4EoSUSNvKfVMblSQ/9LPsF02y7yVJ4kSnKC1K6JnX+99wdsgoWrRjhmAFnMVmQK133txUyzX+gzS+KwGfUUbNjIl/d8wff3f8iXrxSSV+TD3gM+/LQqEI28lsqQSwiv/oqKzT926XyWk8eR8ECVEu/UvLhf7OdrPJBJzrRJVH28ApvNhuH4MZS+ImJAx+XRziCoVCiSByL6+FEoegPwaWEpuSWONYt88cgJAKZFtP1e64wrrrgCQRBYuXIlVVn78H53KL1yP6EwcAyBj2RxYvJHRJjzCf5kAjnpjnfcPlsar1a3r73jofFBMv4+tVgO5tfSN9IHXwfyiX6vuA0WN27cdMjLB15u+nlHUWvBLm3daXoeXs7xsN7ERLSvluoTnEy+UkkfL9fd4a0q/oloUwKx4Y6JXfkEqjEbXafJYqiwh5eGJZ7EUFnJ2m/rkWwScoVI395VXPmf6Sy+I5IpE6tZ+PAYwq97hmrlQHw33Ujp+h+cOpc++zCWL+0GodYa6tRcZYgG3zl+mLLsuUTlz/yTzD4pNGYXoeqk3Lg7XOxvz0nZqIxld/ZBh+ZYsXvAri7UsjzDOYl8AH9/f3r37o1Wq6Xqe3vX6tNhMwi6yt5eInnsxWjuOUCN6E/Djw87vG5cjL2/ztFT7XuL/Pz8UFkbsVq72BjzAnK4oIYB0b/vsuXOcBssbty46RCV3H7RidJEcffgu1scM5t01L4zDrkkEbngow7XqSg9zCnRRkqAaxI86/Ra8sST6NSO5wyIMgFcqOtl09kb5cVOHMmm19ciSQLzH5rC7KevYcw/rkCh8SKwb18SL12IZ1g4Mk8v/O78hgqpDyHbriXvycuo3LwCU33HYQTJasP8+XU0SjUY0NHwcymVx51r0uc9uh+JezcS+/3PKGKSADCUGPGIdywXpitcM3J208+vN3g7NOfhQX24SGrEy6Dnw3zHZPjPZ8qUKfhRR7xuH/lJN9Hjlq/w8Gv22Kh9/CnufwepjXsoOHnYoTX9NPbO3uYONGDCggNRCDbyK2q7tO8LRVWDkYLqRgbG+P3WW+kWboPFjRs3HTIzdia9/XtT2FDI8cqWFTZHdzxHjK6WglnPEBSS0s4Kdk5k/YxVEBjUd4lL9nUkyx46WBBymcNzGhvMiKLrclg8w6MQsbD87SryanoSnyxDHdJxKEPp44vfPT+xX7eYaPM6gjZfi/n5VCqPHWt3TuGnz+NrO4V52jNEPTgBsyhQ/nkGNpvz1pc6qSfxa1cg87OH5eThF64E1yZJCGdyUQqVAeiNjSSv38HTaz9td06Mny/vTxrJQk8ZR2QepJc6nyQdHBzM3XyAiETE7KVtjuk//W/oJBWle79zaM2zjQ0D/Npv9dDjTBgru6BrhtaFYv2JMgQBhsS6PSxu3Lj5EzMxZiLfzPmGKE0U32d/3+KY7OhX5Hj50WfILZ2uExls19aoqcp0yb72FOwDYGqfSQ7PUXvJu3SRbw+fnr0YPrC86Xe/5I71Q87i5e/JsP/+Dx4qpWbBemyiB/KvL0N7rHVORfXRg4Tn/JeSgMWEjpuBh58Hmqk98LHaOPG/titpHKHXmp8JHipHU/kBhrfvxFpS0OW12kMUBA6mBjPTkIVRVNFzZyY1Mi9eVfTFaOq4bPn+Yf2R22xMOlHC1F+6Xlml1LR9kfZQe5KlTkVduK3N4+eTl3eaRklObET74bjEaLvKTkGpY1VRvxbL9xcyoXcw4b5O9r76neE2WNy4cdMpgiAwPXY6a/LWcLTCfpGsqc0jpaaEuqRZDq0RETMWgMJSx3IZOmNXxQ6CTBEkRzuegBrWyw+AZQ/tpK6i84Z2jjDwxiWoVHYjKGWcc/k5MqUC/9ShCFd9g4ANzdfTKXn2YspWfd40Rlr9EDpCCLnxpabHwidGUx+kxjuvjtrM6raW7vzcvj74P/U1ltCZKEu/Q3h7KI1vPoAp/RDWshIMq77AsOFHCk9uYNFnoymrzevSecKDohns2fpSo60taWN0M0FqDx4KUBFmaiRN7cO7+w5zpMRxb8tpz/6UeiV3OEYfMYpejccwGTp/L9SfTkMtWBBoPz8lwFeDCTnllV37m1wIGk1WjhTUMjGpa0nMvyfcBosbN24c4s6BdxKpieSj4x9RUZHOsV/uQgH0GHarQ/PVngEE26Cguv3uuc5gspmIEmOdmjN0diwhsd7UVxn49JFd/O+uzRxa1/U+QyaDhfwTNai81ciVIgpV18TDNb1S8Fp6kLKE+/FqPEnonlspXP4mSBLe+sNUBs1Bpm7WDhEEgZ63pGIESlfldXn/spgkPO58D/5+CHPUIjzK3kO5fAKyt5Lw2HMLh/ddz8xdd5Nh0TLlhzlN83KyV3HvGz154fOpNOo7vzhfO3Q6Sz3KeFfVXCnk7dO+avJZbh6cyqZxA/EzNvJIA8w73rni7Fn0vvEE6HPA2n4JeHDqdNSCieyDGztdz6unXZTuhY++7XCcRa6mvq7W4X1eaPafrsZikxjRs/tNS39r3AaLGzduHMJkM9FgbsDTKiG+NZqxJ7ew3suLgNBUh9eIl/uwpSGv+3sxmqmUygj3cq4cVxRFFj04lAlXJAJgMdnY+e0pyvK0XdrH8qf38dNrR9BWGrCYbJTm1HZpHQC5hwfhV/4T78fSKPGZS/jxRyh963aU6PGIG9BqvEqjxCKXYa3vuBFg/dbD1P7Q8QVZ9A9BdeNrmBZupyHxHYzDXsV86QZ2xFwJQIhkz/s5vOtFGnUVzNvxf6zVePGRuZSNu57r9LlpPDX8feR05oxayJjGU/QxlSAIIjmFJzqd66/2YPu4AQzX12CQKSjU1nPXhh1cvn5nh/M8+89HKRkpfPeKdsf07DeCGrzRpq/vdB/3Xz0P/KPRF2djbKfXEYDMwxuT/vejxbI9u5JgbxUJTojl/V5xGyxu3LjplBpDDdevuR6tUcvQihwCbTY+6T2KPjftcmqdqcEDyRCtmM3dC8d8vOlrdIo65gyc0aX5KWMjufWNCSQOt+cjnE7rmpy6oaHlhevIRscE0jpCEEVCbn2HMo+xhJR9QbUlhpCJF7UaV7i1EG+rDXVK+3fO1V/8QuFNl1PywO3oD3bekkDVLxnN5ZeimnUNiuQhfGReR5g1iK/m2hNTrzr5IcO+secM3exjT7J+sPBn7vl0LBt2dm64AFhlCtKV4fTYeZJRWUZeWvdJp3OCPNXcmGBvsTDkwCmWi15sknm2qzoLEDnY/t6IKl2DzdZ2GEcmk5Gv7oNnZZpDe58ycRxyrDzxxrJ2jRYvbx8E8++nY/OO7ErGxAchCK5LNv+tcBssbty46ZQvM74krTKNB3tdwrTMLRyP7MdVS1YR4dvDqXXqGqvQ2CQUiu4l/317ejnxlr6MTRzR+eB2EGUik6625zjs+zmP+pqOk0DPR1dnRDovgdcnyDVJjTK1moil3/Op7gt+aHwFhVfrkmDtpgIMAsTOa1t92FJVR9lTD6GI7gcI1H3fuRfhXM4aA30UiQQFxLNhbHMOzcU+idxx8ZdMldkTWtdba7k76xP0+s5Lra8P8SLO1JyovNwawvb07RzL3tfhvNm9e/FepDdLNQKLFFaQJE4UFbc7Xq5QUug7FLB71tpDH5BMuMExUbsxqQnEDp6AvLaA55a11NGRJAmjyYxGo8HDZsDQgRfm16LBaOF4sZYRPQN+6624BHe3Zjdu3HSKRbIQJNcwZNubVCvVxF3xfZfW2V9/mlTRs1t7Ka2uoMjjFHeE/1+31gG70RIa50NZrpaK/Hq8/T0cnrvihYOYDFYCI70IjNRgs0oMn+taTRODWY3aW9nmMUkU8JAg4997SHxoGDJFyz5PNd+sBYuBiJeepvjeh6jfvI4Q/S3IPB3ryqxrtCu2Toiwd3kO6TmFo7FHsFgNKBT2v+ELSzZz8tRq7tt6P3lykdyi3aQktPYGncvsgZOZYmjgya0/8p4imTrRg4Vl9nDFHq9sggMi8VS1bfjN7m03zoobdHy9L4ufi8rpE9V+orMUMwrS9lGdd4yA2LYruJSR/Qku+ojqskICQjsXILxu7gSeKinBWHCcBx4/iYiEDCsyycZZJ4YowMHcMkYlOiZoeKHIKNEiSdAv0u833YercHtY3Lhx0yEmi4ndRdtZWpRLD4MOccG7eHp2QVq/sZaD1joCFd2LpX+/x67WOiR2QLfWOcvEK+0ias40RZQkibryRsLjfbnskeFMvS6F6Tf27fBOvitYzDY8NG3fV8benEptnC+epw+R8/6WVscbDxxE9A7Bs288wXffhrUij9PX/L3d8Mj55BXbVWbDA5oNAkEUm4yVs78nJszii4WrESWJw6dWObS2h4eGJyfOx9Oqp1rR3AdoeEYDj2/+vtP5p8vtZcNbanWszGxfDdd3+OUA1BxY0e6YoHh71+vik/sd2ToAty6Zh3f8IPyie+Pbow8+PQcSkDySiP7j8Eway8/GZI6Wdq8rtyuo0du9PCE+jhmpv3fcHhY3btx0yDdZ3xByeh+T9Y2kTfo/BiTO7nxSW3j4Mkv042dTOX8r3E1ClPPhHJ1Rz4dFb5Mg68uAeNco5gZGapApRCoLnE+UVKja717dXSRJQrJJeLbjYfEK8SR2ThQFL70Ge5VYFm9HHtAcOpIFBmDT12Eur8F35nhMpx+m8uUnqHzzc0LuuLLT8+8r2ANAr8jETsdqfKPpK8lZXXmI9lNcz0OhZhZl5DdK3BzmjUKu5OoqXyod6JxgEuyG4X6lhkOFtQwJryfCp3XYzCcqmdPK3oQeexvb/H8iylr/vaJ6paDFk/qsHTB2vkNbD/D25P6r5rR5rMFg5s3DazlZ+tsn3mob7QaLp/LCvU9/TdweFjdu3LTLscpjpMo0zNQ1cqz3RAaMe6jriwkCD87/imirxL3rb0VvdO4LXW/SM/uz+RhkOh4Z9Qgy0XVfwv5hnmgrG9tN4szYVcL7923jx1cPU1uuRxAERLlAQ+2Fu4s2NNirf7w6CFNlv/Ce/QeriewpM8iasoDy1+1JrIF/WwxWI7XfrAYg+JbLUCWPoup/L1H1cefNFw26RtRWDwIDOy8/Bhjv3Ys0Sx16k86h8QCvT7mYlbMWcNGgqQyM6w/AcO/Ow3Lj42JYlRTOlz3tnr5n9h5pd6xi8JVopAbKjrctECeTycjUjCC0aJ3D++4IjYcCUYDT1b994m1mWT3hvh54Kv8cvgm3weLGjZs2KWkowWKzkHRqJx5yD/ov/qrba3r4RvHCiCcok0z8e+WSDqs8zuexn56mRqjkwdCnGZjoGu/KWWJTg5AkKDjRWlOkKKuGDctOYGgwk59ezWeP7ubdu7dgs9ibHF4oyvLsBp1vUPsXcGGX/SIb/dFXeKQMRjIYqHr9GWqWr0EZHQqCiLW2rml89FvPIQ/pRfkzD6Bdv6fD85v0BtSoEGWOPcfJvRdgFQT2n1ju0PjzuW/7WgBCvR2Tjx8YHsqEHlGMFy38bJWj1bddeeY//DKMKNDt+rDdtcSU+fS05pJ9dCfFhafZ+ckT7Fn+HypL8px+HgCeSjllWueSuF2NzSbx89ESJiQ6ZnD+EXAbLG7c/EXRm/WkV6W3eay4oZjjVccZEDIAeWgKorkRDF3TKjmfuJSFPBYynp/0eazY9Wyn48trqhj/3lRW1//AfPkVXD6r46TOrtBnjL0Tb8au1j1gdn13CiS49OFhzP37AHr0C8QmSfiFeTLt+o77J3WH49vsFTAJQ9uXghd0WmyCDM2IVGI/eZX4jT+giOtP6b8e4NRFl4NkQzNpVNN4RVggvVZ9jugbSuVb73e8AYVzZbA9ky+htwXe3feiU/MAJKuV1I+Wcf/bD1N+7LRThmyt0YRBrsQktZ2bo/YLxSB6E1/yPVI7+Tt9Jy6iQIgg7ttZhL3bn8HZrzHw+H/QvD2EfZ88hGRzrsO3v6eCGn3H+jgXmiOFtRTVNjJ/gOu6o//WuA0WN27+ohwqP0RuXS55dXnk1OY0PV6qKyW/Pp8pPabYH0iciU0QIPMXl5171szXWIgPT5/8jMzC9rVc7t/7MZNWTqdaUcps9WL+ufgul+3hXLz9PZCrREqya1sdk5+J/3sHqohODmD27f25+ZUJXPH4CHyDu1fx1BFFmTV4+ijRdBASMvhGoOs5tOl3Uakg9vN38Og/FkGhIODG+9GMaCnsJyrlKHv2wVJRTMOug1S+txz90Zzzl0YmyqiW1aGtc6wbtqDwYIp3HJkym1MGB4Bu2/+afq7/8Wuee/4Zh+Y1mEwcUmqwiSJXbj+ErZ3zanvajdysb//d5nGVhyc+d25lf9+H2dvvCSz3ZNB4TxYHwxYzOPsNDrx5PTarY8nKAOG+ahpNzhk5rqagxu5x6hPRfrPGPxpug8WNm78gFpsFs83M9NjpyAQZ+8v2Y7QakSSJwxWHGRF+TkKsVxDy4GRMJ1a6bgOijAfmf0WsVeK+9behM7b23tSaGlmV9RECRkxe88j2nMeFVLYIjNTQUGtsdWEaMDkagL0rW1/ULxQlp2oxG630HNixO1/ZWI0Y3NIDI/f3Ju6z14hfs5zQe69rc56gVGAtP0XB366g4r+PcfrSOdT+1DLHY3KfaQB8sfGjzvfbUEJVYxVydQCNokiDtqjTOecihtgTeydfZPcGGYsKSDvVfvXPWTRKJXf72PMzDis13LZxJ3pTa89G5OUvk+s1iN7HXyR/c9tCdb4BwQxfdB8jFv4dL78gfP0CGXXrm+zu+xhDKlew9u17HTbEegR6YpOgTv/babEU1TTi7SHH20Pxm+3B1bgNFjdu/oJsLtjMqIhRyEU50T7RzI+fz7rT61hzeg1jIsa0Gj8wcT6Hi3e7LCwE9nyW/454gnLJxL9Wtq4tyagtQLBUUht8P3WBC9nmZePprRfOaIjrHwwS5KW1FD9rPKNmW1366yVRbvrU3tF68Iz2hfkkSUKhq0Ye7lx7AoDwJ+4HQNW7P3Er1yJ6B1Hx4kvYTJamMckJqURYQ3i39hNqqlu+Jmcv3Dm1OUxcPpFp305jwvIJREUMA2DJitkYHEy+zfnpHY6v/R6AqIFj0Sam4lVawNp//p2Pvm+/HPksDwzpR85oe07T96IXW/Naqw2LMjnRd/5EFX5Eb7oDXaHjHcNHLbqH9OS/M6PiA3Z/97pDcxLD7BVLRwpqHT6Pq2k0W5GJAhYnPEO/d9wGixs3fzF2Fe+iT2AflLLmclmlTMmUmCkMCR2CRtlaJ0XdZz4GyQJZa126l9iUhdzq249f9Hmtqob6+UUiISNFUcNbQSEMqYf3ZXr25F6YTrh9Rtkv/Jl7mvNYLCYLG5edQKYQGb0w4YKcty1qSuwX+w7DQSUViDYLHlERTq+vio0kOeMEPVd+iUfvaEL/+QiW4gzyFt1A0dIXsNbZReP+L+kfGEUzG/c2hwNz63JJXZbKC/teYHXeaiobm9saFCmVPOSTSp5gZdHnY9DpKjrcR86qj1jxyUq27soFwC9xOPNvvJWaMwJu5V99xM6MDAAKKirZcPBQm14OT6WSQWfeP//KLiK3unUYS+7hxZfmuQgCeL03DB73pXZZ2x6o8+mz+An2+c1kZNrDlD7ei6rHYzj+5Ch2f/o4WUd2k3FkD+kHt5O+fxPHdq8lrGY/w4UTHC8o73zxC8TExGBq9WYO/4ZGk6v5c9Q6uXHjxiF2Fe8i2juaCE3ri5yH3AMPeTsXSL8YFAE9MZxYiUe/hS7dk3BGiEx5nly/l9ILASgqfo95k+9kZIQfA46e5FBFPcPjXC81rvZWovSQUZrTXFVjsdovjj1SAgiK/HWaxxWdtF9sk0aGdTiu/qS9y7Rnz+hun9Nv/hQMJ+6l9su3MZ7cT+OBPfT88VMmDJ8BWQ+yuWQrl3AVANetsV/kP0r/qGn+tSnX8tHxj3jl4Cv8Z+x/+KBmLDelvc7D387nyQXf4qVp/VysJiMrPvoGgJlzRyNTeiBXKhkYHc3AV9+mSqfj9b/fzK7H7mPTiIko9m5FZrNiuPNBLhpj9wIey8lh+bIPCE1M4aHR47j/eA45am9+ysnnzoDW1UZ1og8fmxZwjdLeG8kv51tKt0whbPySjl8gQWDg7Z9w4Jd3sVZmYRUUeFSnMyTrFeTZL7Ua3heYrYIf8ozAhUvM7oh+kb7IRIGM0nqGxP45pPndHhY3bv4i7C7ZTZR3FFHeXZMLHxg/l8MFW8Ds2nLNgWFDECWJ/629s9WxUH97iOHVjHWE+HvgbbCxt7rBpec/l6Bob/R1JqwWuxvdQ63A00dJ7tFKDLpfp+rj4Bq7ITJifts9gs7SkFMAgHd8jEvOG7b0epKO7CPsqVcxFxwn/4YH+HrtMgA0glfTuHM9KmfxV/kzOmI0AG8deYuhg2/hhd5Xs9VWx9XfzkKnbz0nY7n9Qj9lwQz6XLGUxEX3tDge6OVFwtW3AGAsLkR2plLnyL49HM3L4+sNG1j++kv4njiM4fvPCMDKfbF2w8hobTvXxCJJEDmQ2stWkaMaDoBi9b3oS7KRrB0nycoVCgbPu41h17/EyOueY+B9P1F94wFOzVtJ3rzvOX3JT+QvXkPBZRspunIbxQQTIbWuOvu1kMtEvJQyGoyWzgf/QXAbLG7c/AXYVbyLKE0U0d5dvxv3SLkYk8UAua1l4LtD6tDbuNWjB/8r3cbejO9aHOsVYL871Si9EUWRAUYZxywXznDoNcie5Jp9oNmV329iFJIN0rY4l0jaVYpO1uLlp8LLt2M59cbTRVhFBd5x7Zc9dwX/BZMIuPFeGvetZtuG/wLw6OKnqNRXklWThUpm31dSQBJXJl/JzNiZXJtyLW9PfRtvpTc1BruHaNKo/+O9Afdx2mZi+lcT2bL/jaZzSCYD+9ZvpGeYnP6X3tHuXkYnJWKWKxC0zSEe1e5N/PLQPeS/8xK+RblNj5ssVgaEBuNhNvF2nbFV6Mhms2ITZahVKvySRtFz6VpOBswjUKXH83+DKXlxmtOvVUhUT3oNHE/swIn06DeWmD4jiE4aTGR8KtWKMGT13e/e3R0UMhGzxZ3D4saNmz8QRquxy56VJoITUXlH0JjeeSKks9w473OGWUUe3PU41fUlAPxUcIidp95DrRnEtT1HAhDrpaJS7lzJrDMkjbDnsaRtLkRXZ1exzdhpv+jE9gu8YOc9y+n0KqxmGwlDQjoday4pwaQOQC53vex648UzAYgvtr/Wwz+/iIlfT2TBygUYrfbXZVDIIB4Y9gDPjX+uqYeS2WpGb9E39SsaOOBaXu93G3Ui3HH8bd798VosxgZyfn6HqkYlQy+9ocN99AgJJv7Gv2Px8adh0GiqY+IBMIZEoNX4YlQ2hzAlAXJyTvFosCcNChXpFS0ThQ06HYgyvLybJfyj5jc30IzQ7ad8xzdder3aolEdhmdjxx4WSZKwGSzkpZWz5cU9bH18O9uf2M72n7JY8/xu1v13N3pt19SUjRYr1XoTwd5/jj5C4M5hcePmL0Ev315k1WSR4N+NxFFBYGDMBPZn/8goqwVkrvv6kKl9eXry6yzaeCsP/biEMSOe5dltNyAJHmyY+z/kol3ErIeXCr3RQFmdgVBfxzsrO4pSLcdDo6AsV8tHD+wgIEyHttKCJHkjV174O9XDa/MBGDS9/eqgs1jLS5F8XG9ESZLEzgceJ1HhQfJtLzHPkMd3OR8jA0ZHjKa4vpIHht3DqMhRreZG+0STVZPFPZvv4ZVJrwAwYshtbI+fxaurbuTV6gMceXskyXuiiPATiRzZuQjgwgkTWDhhAu/88AP1n+8AICCpLzV7tqEy2cOTtbG9+fK1FwkuyiX0H48BCk7V1JES0tyks67KHpby9m3ObfGM6Uvdwh/Q/vQvfBoyCFl3PUWn9xG55D9dffkwWyzUaMuxqrzQ1ASwc+VJTPVGpAYzgt6CzGBFabTiaZbQWCUUCMiBXkANNvwRYXuzobPv1f2MfmCk06rKRwvrkCRICnfrsLhx43Ks9b99s7A/K1m1WURoIpwW9Dqfxqps6iQrWF3fQyckdhxPxS1gu7mSZ7fZ77z/M/ENvBXNhsnUuECQJL44Vuzy858lflCz9kl1qRc2mz3ZdtVbWy/YOcFuKJRk1+EdoELdTsPDcxGqKyCgc0+Ms6z97BcGHt2K+frbmDFmAk9OuZYglT2UmFGiI7c+E4PBD0ForYS7fLZdln9/WcvOx75+sTxy+TruCxmDOT8Qg1VG9OVXtLlGe1TmZjf97OHvT+SchVSH2felCY8i+Ex46Lvde5FbrYyKalnuXVNp97j4+Pu13FvfCUQ/uBEu+5QqKRi/9Pcp/Piups9Kva6G7duXYT4vxyUrexc7v7qLvR8s4cgb08h+YTCVT8chPhlMyKvJ9CutA/ODxOwsIzKtBu+8eqgyUG+0UKISyAxSsj/Oi919fTkyJhThrv70e3Y8huv7ULM4Hs0DQzg9JZIeDVbWvLnf6c/uL2klhHirSI307XzwHwSnDJa33nqL1NRUfHx88PHxYeTIkaxaZW8nnpeXhyAIbf77+uuv213z2muvbTV+xowZ3XtWbv5wmEtLqXj1NaqXtS3q5KZ7yAQZB8sO8vHxj7u+SEUm+8v2MaP/DaD06nx8Fxgz4V/MNNmFrl6b/jUXRQ9rcTwx3IdErcSKGtfpwZyPrvYwhpoXMdZ9SEwfHXK5DlHIp7rEk7yjeRfsvHlplVgtNhKGdlwddBaZthIxxLX5KzXVWlQvP0tRTBLD77q+6fHUwMEAVEmHAbh7x2U8u6V1bym5KEcURLQmLdY25Oyvnv4GQ3rZQ5MbfnAu/HLr9TdhGjOVer9A+vfrz/UXLyBi5HgAGnJOUu8XSE2PBKLzMkg26QjyaqlCXHPGwxLYzmvm23cSyis/o0YWQVTuxxS+vhiAzI0vM2b9nSj+HUDaaxNJO7qa2oZqAr66jL5Z3+GlK8ai8qEyfChZKVdxYOy/ODTrXXb0uQ0bEpqlQ+n19FiGPDOeCU+OY9bjY5m/dDQL7xnOopsHs/DKVC6a3ZvIM4q08QmB9BsUjp+/mtFTenI6NYD+JUY2/uC4dky51sCXewu4ZHAUouhci4XfM075dKOionj22WdJSEhAkiQ+/vhj5s2bx6FDh0hKSqKkpKTF+HfeeYfnn3+emTNndrjujBkz+PDD5sZUKtWfJ+bmpnMkSaLx0CFC/7kU7Y8/IlmtCG20gXfTdcZHj6ekoQSJrntY9NtfxEvpjTDufhfu7DwEgb/pPZll8WJCWFKbQ6b6ePOm1MCJEi3JF8DdLZPZDaYFSx8iNtW+B6NOz3v3rmHDR4e47oUeTnkGHOXwenvVz8DpnVf9WI0mFIY6ZJHOa7B0xNoHniJJX0vIh+8iiM33s6/OupO1p0bhr/Ljfwe+Zp/2C05Wn241f0XWCmxnevq01U1bEEVuvO1T/qd+BFYf4uDRLQxKHe/Q3vy9vVl6599bPDZu+HB++mk5fmWF9LrpHspqatB+8zG7tHWt5uv1dm0btWf77RS8E4bj/cRRCl9fTHTlGgpX/hdZ2VEAdve/nYC8jUR9fw1pcRfR36pHe9sBUoLa/nttrMtGpARfH1W33i/D5vem7OhuZJWOV+d9ta8AUYBbxndcafZHwykPy5w5c5g1axYJCQn07t2bp556Co1Gw+7du5HJZISFhbX4t2LFChYvXoxG07F+gUqlajHP39+xbp1u/hzodu7Ea+RIBEFA9PGh7Kmnfust/SkJUAegELso012Ryc6slQwbeT/IOw9XdJXsIz+RXJMGsVPaHXPb8Bg0JomLD2XzxvYc9GYLL2/LIae8gePFdRgt3evh0lBTCsjxPedOXOXlScpYbwx6Xw6uPtyt9dtCkiRKT9XhHeiBh2fnf6OGU4UISKhjXNfYbu/anaRs/4nKi68gvF9LY1EURWYkDGV4TAIfXPxPBJsGo6Wl7LzZZubRnY86dK7LFv0DgDVfvdOtPfeLi2POUy/T5+//ZP7kySyZMQOrTM7IIztaje2VbFfDPbRrZ6frRt7yGQViT6IO/puBRRvZ3utSRlz8NDE3r6ZB4c3wU9+yq+cCQtoxVgDOmigWW/fCsPs/PoYcgeixjv+tVx8vZWJSCL7qP48sP3Qjh8VqtfLll1+i0+kYOXJkq+MHDhzg8OHDXH/99W3MbsnmzZsJCQkhMTGRW2+9laqqqg7HG41GtFpti39u/piYy8sRlUpkfn4ACHIFgTfe+Ntu6k/K9qLtDAgZ0KW51hM/4iEqEQdf69I9Na1vNZN++CfCV95ApiaBkdP+0e7YAC8V3/XvRZxV5N9mLT23H+NZi5ZRx7OZnJnLgl/SnD5/ZWE5r/3tZj6673HyDq0lOG4U/mEtb5zGXTYRmbycvT8WYnFxY7ucwxXYrBKJwxwLB2mz7d4Yr16tL5jmykpsBue0cgwGIzVPPE5FYAQTHm3/tT+LQvKn1lzW4rECbUHTzwEeHQuV+Wr88ZjWD2V2HfvTNju11/Pp2yOGmaPsCcDeGg1KlQfxuhrM5pYGVc+kPqhsFo4fO9bpmoJcQcnlX/JYz9vY4TuA8NE3AeDh6Yf+iu/YNege+s/p+MZKOBOKsXYzb8x4xitaWehYjl9BtZ7jxVpm9HXsvfRHwmmDJS0tDY1Gg0ql4pZbbmHFihX06dOn1bj333+f5ORkRo1qnUl+LjNmzGDZsmVs2LCB//znP2zZsoWZM2di7UDE55lnnsHX17fpX3R095Ue3fz6SJJE4/79eA61d5uVrFastbUoutAbxU37SJLE5oLNpASmoJarOx3fFnkl++gZ0PuCeVd2r3iIPt9fgZe1Ea+rlqPqJCTYN8KXn2elMrFeRG1qeUEwdsH7btQ1YtIXUVWwHw/vCBY9dHurMaJMxthFvbFa1Wz4yLUJuEc22C/2A6Y59l2mz7WP901sabAU3H4H2WPGknfFlU6df/VjLxFZVUjEk08iU3X+N/aVRVFpLGjx2O6S3QBMj53OC+Nf6HSNKxffj0UmseHl1kqx3aHflBmYyor46F8PN5VXnyUyJIRaowm9Aze5m/LL+F/UIhKuW0mvnkOaHo+NSWXk3McJ8A3qYDaIZ8JAtm4Wl6XOsod1aisc62W1+lgpSrnIxETXJ2T/1jhtsCQmJnL48GH27NnDrbfeyjXXXEN6enqLMY2NjXz++ecOeVcuu+wy5s6dS79+/Zg/fz4//fQT+/btY/Pmze3OWbp0KXV1dU3/CgoK2h3r5veLfvduPM9458ylpdR+/Q0eSYm/8a7+XGRUZ7CxYCODQgcR5tXFOy6zgaLi/YRHtfakOsuuEzvY/uVdHElb1/SY1Wqhb8bnABwNGkpUaE+H1hJlIp/N7svJKf15URPIbaIXQ/Ui5ZIVi5NhocjEHqg00YgyDde99Dxq77aTilPGD0LjW0b2QSN1la6papMkibJcLT7BalQOuvCNhcWY5Z54BLbM4WnYsMF+/PhxMocOo+LNt6j76WfM5e339Mk6lEHsj59xesIcEicMd+j8PXzi0EtFWM9prKe32C+oS5KXMCRsSHtTm/D1DkDs6428wcqr18/EanGNgvLUJdeQPGMe2pPH2fxty8RgH40nyORkHzva6TprahuI01YR4tu1KpuzaSvnG03OUn9GYdnLx7HcztXHSxmXEIyX6s+nWuK0waJUKomPj2fw4ME888wz9O/fn1deeaXFmG+++Qa9Xs/VV1/t9IZ69uxJUFAQ2dnZ7Y5RqVRNlUpn/7n5Y2GprARBRO7vj2Q2o9u1G79FC1HFx//WW/vDoK1s5ODa0x2WO+bW5TI5ZjI+ym58RjJ/AVMDwqCrur4GcCgvjX7fXMKYjI/p892l1NTatSb27vsOX0s9+y/6gISbf+lklZaIoohCJrJkaDSPjk/g9vgwyr1lLPgpjZOljhkUFrOFD+99DGNDAXGDpqL27jjnbvpNY5EkG6vf3ubUXtsje3+5PRw0wnGD0lJaikUT2JTMaamtpeINu5KsLDgYj/79sen1VL76KsX33Uf2uHGUvfhiq3WsVhsnlj5Cg9qHif952OHzD4lIAVkje4tONT0mnMnaOJt06wg5fe3hf3ODjB/euA2jwTVtF2b97UZE/yBObF7f4vEjOXadG/+Qzr0PJgmCha6Hc87+bbobPCz8+iRVgsSQ8Z1r85TXGzhwuoaZf8JwELhAh8Vms2E0ttRkeP/995k7dy7BwcHtzGqfwsJCqqqqCHeHBf7U6Pftw2uE/W7OWluLKiHBXRnkICaDhZP7SjHozCQOD6Miv+0L88b8jQwPd+yOuSMspzYg942GoG6IzkkSqh9uo9YjmNKbdiNKErv32DU7pIwfyfTqyeAhC1AruhdyGhvtQemW8aw8PJ5Pt3zX+QRg5YvvU114kJSJ1zD3nr91Oj48PobwuHoqClTkH+++XP/RjWfCQZMdD23bKsqwnROSyL/2b1S+9joA8sBA4r76ksRDB/EcPhzOfK6q33kXa0NLg2Dt/74kIe8Yynvuw9PXG0e5qPcIAJZuepoibTVfHtmOl8Lulao3OmYo2mw20rRl1Iyyj8/dWc4X/3IulNURob2SaKwsx6RvbHrsbJVcZM/Ob4x8ZSJaa9e9I2dzWLrjYZEkiZhGG8WeIhWlOhq1Lb1QRw4Usen1/RSetBt+Rwrs1VGj4i+8KvNvgVMGy9KlS9m6dSt5eXmkpaWxdOlSNm/ezBVXXNE0Jjs7m61bt3LDDW1LLiclJbFihV3au6Ghgfvvv5/du3eTl5fHhg0bmDdvHvHx8UyfPr0bT8vN7xnd3r1NeSsA8uBgLBW/XRv2PxI2m0Te0UoShoQS0sMHL18Vem3r3jpbCraQGpzaafKjIxwr3kNK+LDOB3bA7kM/06fmKOWT/k1YRDI5/ilM2/UYmze9Q3B1JlUh/btdKlxbV47Xc80X/QVF33c6pyyvlNxDqwlLGM+MWxYhyhz7Spxx6wwEaln/4cFuifFJNony0/X4hqhRejjmwi/cehRbRRmSXyDa1WuofPddjBkZKCIiCHnwQWLetVfeiEolPT7+iOTjx/CZPRuAon/ci/6oPRyira1H895rnO49iKFXzHdq37H+IQQLI6liPzNWjOepw7fyzG573kpWbZZDa2SU76DOKjFy6mIufdLu3ak6ZaGuqnW5tLPoK2sp2b8dSSaj8Ix2ztvPPwuiDEV1WVMrgY6Q2awUqLreofvsu7kbNg+CIJCrFumnkxDePUbV0/s4tnQra17cg81io2bFKRIKG7F9cJzCB7eRub0Af08FYT6uV4H+PeCUwVJeXs7VV19NYmIikydPZt++faxZs4apU6c2jfnggw+Iiopi2rS2G0llZmZSV2e3AmUyGUePHmXu3Ln07t2b66+/nsGDB7Nt2za3FsufFEtNDVityIPOS1iz2dDt3fvbbOoPRM6hCuL6B7e4uJ9/od9ZvJPEgESC1B0nBTqEvhqttgDfHmO7vITVbMB/87857p3IgIFzAahKnIcMGxO23E+CNhPa0Oxwhu3rXqHs/dlNv5cEX0FS7T4aOzCEzSYTK559HkGQMev2a506n5evL4nDVTQ2eHFyt+OCXueTtb8Mm00iaWTnHmVJksj6YTc/fF6JgIQqYw9Fd99NxQv2UI//VVcSeO01yNvwbFvPJJnqtm6l7JlnAMjbd5QgfS2Rd97WJWNx1eXNzQyj5OOwCfa7/+WZyx2avzXvB0QkxsYtJCphBHP/ae/MvPyZW5zah6lBz9FPf2L1v/7Lj0ufxFBTz4bn7d4ma3A0x4+k8ewTj1Gqs+/vqrvu6Wi55nUFGTrPrhssZwXbbN2sEhp2z1DyR9hDWFUyKIhQk1JuovjhHcRbBE6PDSMn3h7ynZ/TyBVWxQXRCfo94FRWzvvvv9/pmKeffpqnn3663ePn3o2o1WrWrFnjzBbc/MHR79mDdxveM+/Jk9Ht3En9xo14T5r0G+zs90/JqToCI71QqM67uJ/z3ZRZnUmwOrjrCbbns/8DJFEOceO6vETaF7eQXH+KIwu/bbqzHTbtXjISJlFXkYV4cBlBIzpP0G8Po8XMmB12/Y89Y/7N8Cl34V9agMfbn8EbCZiXVrd+zYCfXl2GriaLUYvvxj/ceeNu/JXTyNy7jv2rjpI4sm2Ru844usneWDF1UueNKVfd+zm5erthow72QZZnb08geHjgM3s2/tdc0+7cgCuWoN+/H0mvb8o1qcs9TRAQ0EZptCOoFAr2LTmAUiZHFEUu/+4fHKtfx7hIxz6/+8oP0tNTjY/arneT0H82YX3fp/QYvHDpbMbdMJmhUzs2Lmrziln59JNU1OWjknlhtOqovr+Iynp7mC1YFsiBknTOfkjuuu1WAhxUB/YSIKiuY4mNjmgOCXXPYNH4qBg1P5GqUVGkBnvSXxD4+b1D+BbpUE6JYfRo+9+vscFE7uuHmOXVvjDeHx13LyE3vxr6/ftRDxrUrvXvNWoUytg4dLt2/co7+/1TmlOH0kOGf1jr6hXJav9CLGkooaqxqnsNDs9FV8WhPa/SJ3kh+HZNoOzInq8YkLOCQ4PuYlhKs6KpKIok9RrM8BGXMfS2X+id0LH8QUcUFtp1NfbGXMSwSXcA4BEWjUllv7iLT7f0OOhqG3jvrqXkHtyN2rcHIy/pmoGsUCrxDzVSW6amsb6x8wnnIdkkKk7X4xeqRulARUe11j7myjtjSP7yI/yvuAJRoyHmww+IePLfHYY5NOPHk3TwAPKQEAzHjmGzWqnZuZtS31Aie3ZdFsJDoWw6r8kiB4s/D494sNN5VpuV43UVDAps+V5deF+z4vnW9zbw4uUXsf2Hf7e5RmNtPe8/cBN19RXMveZB7vj8K6bPv73JWAGYcd21TT/f8/e7HDZWAEyShMyB0FF7NIeEXNNdPDDEq+m786IbBjLmsTEMG91sbKo1SvwRiIjvfhj494rbYHHzq2Ctq8NmNKLoJDtf5u+HoLxwSqq/B2w2iaObCqgtd0xXoaZUh81qIzCybfd0QIQXpzKKSa9Kb7ODblexvDmcaslE8LgHujS/pDSb6PX3kxY8nGEXOV6B4iyRwbGUeYQwLP9nMnL2NT2ueMAutyATrFhN9sKA08dyWP7ky9SVpSFZS/Hw6l7p5+hFA5FQ8N49K8k74ljuxllO7jsTDhrReTho90s/UScPppemBN+UeGR+voQ98jCJ+/fhOXCgw+f0HDkSyWxm9aMvELNvM1XxfZ3ac0cYLAaQ19D/gwnUdyJcd7RkIzobjIpqaSyq1H7c+9VPLPnP4wBINoE9n++hpjyb4py9NOpqmsYW77YLBE678g4SZo0BoO/lM5lz7f34KAIZP+taIvvGkiKLoJ8pEg+Zc98rlYKMMJu584HtoD+TbKvvThKLk9h0ZmQONM78o+I2WNz8Kuh27cKrExFBANHD40/ftbm2VE9Mn0Cqi3QYdB1/ITbUGKiraCQiof12FT5Bao7lnmR8pGM9WRxBkiTWq2SM1TeCj/P9arR1Zeg/uxSbICP4kjccSnLsKh5e/gTefch+3l3NUu+CKFI0/AMAdCePALD2f+9RXbC7aYyhoXvJ3j36xjFgsgeiPJif3ypg5cs/OTw3bfPZcFDnHo6iLHve3+Arul71dXzvMf5ZZDd64779kIIeyQxaeneX1zufG/qfqfBR1PDwhg86HLv19E8oBImRPS5p83h47BBuevt/9D7z2nxw5918sfRfvHP75VjMRiRJQl9fC4BvaMuboN4zx3Pjpx8z5JqFAEy9bBZDrQlkf7LFqecTazVyxDeEKT9vZsPJ9mU22qPQZP9sV5i6bvQ4g7XehGSxIar/fPorZ3EbLG4uOPqDh1APGOBQIpioViPpHfM8/FExGSx4eCmIGxBEwYnqdsc11BipKtIR26/z/Irk5B6cyD3V6ThH2VywmZGjHkAJcHKtU3N3r/kvmpcS8TVUob1iBWFhLgpRdUBJhb2yRIwZ0eLxgOGTsEki1m9upeSjR/EPiwUgInECMX0H0Kitw6DrnvbHmMUTuPSR/kiSieJsx8TPbDYb5afr8Qv1bDO/5nzqjSp6ehYTPLDrOkXFRRVsi+zPyrjRFM++jDm/fEXPvq7TPbo4ZRgfTrZXgOboDjU9Xm8wcOP3L7Hz9Immx1ae3km8pyeeqvYNcW//SGbd8AoKTbOSiaVRzmt/W8DP/7uLfVvsyb1+sR3n//glRKH1r0N9Wom+snVTxPZ4a/Jo/l6TR6nZyh2ZhQ7PO0uCp71SJ1Tx6xgQjccrQQCPJHdIyI2bLmGtr8em06EIczwJVFB3TT7+j4JBZ8ZDY8/kD+nh3aaOSkONgcqCenr0dUxPIT6mBwXFpS7Z36HyQ8T7xePbfwn0nglfXAp733VormSzMnj302R7x9Nw9c/07DHAJXvqjDK9vQrGXH6ixePqAH8q1SPxJ5vwvFeI1NvF3iZcczl9J9mrG49tcs4ga4ugyEDkigYEQcbyp1bz7t2rMJvblwzL2leGZJNIGtn556J4/V50igAiUrqXSB0bF4FNEOl/yzVM/u9j3VqrPQZGxAGQ17i7Kdn0jT0/sbvuAx7abJfg35n3LSIScqHzC7lMpuSu91dx71c/cdULT6IJBZtZIHNTLjUVlQAovTv/vuhxxUhkgpycTx1vqeDnH8DSBfO51FtBnVqD1WpxeC6AQma/QROlC1+xI0kSun1lqHr5IfP6czU8PBe3weLmgqLbsQOvMaOdmiPI/7wuzfPxCVKj15oozW2+89NWNlJZ2EBsquOVK64KuRyvPI6n3JNon2hQeMBln8HwW+GX+2DVA2DrWLdTEGUcjpyE2mogJrJrlTNdYUjiSLZHX8TQ9I+oNbb0cqgXv0iZaix6q5peVrt0fXVxGQnDRoEgkLmrdWffrqD0ELCYfakoUGIyqFj50qF2x6ZtsgvOORIOOryhELlFT8pVE7q3vzNvkYzCmo4HdgOZKGNU4GIABnwwlRPlhZTp7U0SbZJEWvFGbt7yOKUmI2kN9Zgtjicrh0QN4G/Pfdn6gNi5QeAdHUJdQC2exWosemOn488lSO2BTSanWutcqPqsR9mGa5JuO8KUX4+5qAHvsZ1Xm/2RcRssbi4YjYcPo+7Xz3lNgO52C/sdYzJYWoQABEGgR99ADA32OHfRyRpqy/UOe1Zchd6sZ3fJbsw2M4kB5/RzEmUw42m46AW7l+WLy6ETJVPNmLuI1hdQ80wc5eW5F3jn55wXC1k+ifipWopmeQQFo5p1F56yRjK1QQiCisjEHsgVCnyCgqk47Zo9BsfY72wl25kLYjvve5vNRnn+mXCQsuNwUNH6feRVaYj0qESu7J4hv2aLPUl1/tT+3VqnM3wU9veupChj8S9z2FBsNzJ6+yXx2NbPWowVRScTRNt4TesL2++TdC5hs/qxOsqLn3/e49Qpg9V2TbD00rJORrbk7Fa7IyzoKPpD5ch8laji/S74uX5L3AaLmwuCtUGHVatFEel8Oaxkcc71+kdC6SHHbGjtpRBEgWNbi/AL8SSmT2CXhJ9ERCxOuq0r9BWsyVvDieoT9Avqx4CQAW0PHHoDLFkOp3fCh7Ogvv0v7+SkcRzqdTGB5jqKsl3jvegMyWqmZ8lOymImtHhce+ogtv/2xm/FIhptKoY/s4HbP/wcvxD7RTW2/yCsZhMV+d03WmbdOosJS3zxDbYbn6Wn6sg53Dqp9+TeciSbRPKozkM8u15fhyTKmfpk28mpzmAFFFYzPeIvbHf7Z6fcwrjAM7o6ggVJXgvAxNjhZBmbxSHv7zMbmZOCgUqVF3MeuIGLH7kNAI3cD6M2p82xDXozT2zK5Pn1GaxPK+aS01r+1U/NzUE+6Eyt1aHbY3ZKHzSNOp464dx75Oxn2InWSl1Cskk0Hq1APSCkSfvlz4rbYHFzQdBt347XmDFdmitZu9su7PeNTC5iOS+/ISY5gOTR4Xj5dV3hOS4ymhP5bVczPLHzCaobWyb4lupKOVR+iGk9pjE4dHBTL5h2SZgC1/4MNXnwxlA42b7oY+MZL01c0gRnnkKXOZW1Ex9LPf59ZjQ9Jlmt6D+5CpVoN+Lqxj+L0jcYlbr5Ne4/7SIADq9xruliW8gUclLGDcZ2jtG46u1jrcalbS4EAfpN7Nh9X3Symoowe0sEmQvEwBTe3phlCj599avOB3cDmUzkjdl389DAt1h/yXamhdqNixhfux5OY+EVXBvwIFcPfaZL6/ceNJ+IqCEsjv0/ZkXdhOkLK5Y2miauOFTIWzTygszAlZXlZHk1X+6WH2n9d2kPD6WCO7zgqH84xwucSL49a7D8Ch4WyWxDpvnz5q6cxW2wuHE5jWlpePRNQehiXoVNp8f2J64Uikjwo/hkbYvHBFFA5mAfm/aIj4uhoKC152NV7iqm9pjKW0feotZgP2+toZaM6gymxU5zzptjMYBRC4Y6+PxSOPRZm8Nkdfmc0vTCL+DXiamb1j0PQA95s9FVtPwRwiikfMx/kR6uIGzyda3mhfSIQ65UcvrIQZftxWISEMTmO/iM3SVNP9tsNiry6/EP9UTRSYhn7Xvp2Fz4FT1hZDJx+koeK9GQk+181YuzXJY6hlCNLxN62PuG3bzGrlorWbwZGNu9yrGaY4cRBKG5WzWtc2G+qqlloB7e1NirZi7XihwfkEh4XSXfFzkWRjrL4v52vZp1OY73OTrr7Oiu0m1nCKIAMrFJQPLPjNtgceNSbHo9lqoqlFFdv1D5zr6I+nXrXLir3xcyhYjF5Ho/sUwmcn5+39GKoxTVFzEqchT3D72fN4+8SZmujL2le5kQPcH5k4SfyX8YeQcoPeGH22Dn6y2GVNdVMPzk55T7Xfhy5rOU59krRoRl86nc9zOnX5hNcPrbFMkTCZlyI4K8/VyJoJhY6irLsbnIs2ezSchkOiZeafcybfjoBMuf2YfFZOHQ+nx7ddCojsXifn7zSIumllZd9w34+MQYPrxjAjZB5OC29hOCXc3spMGM8L4NUVmFRReHv+DDhJShnU/sAMli/1vZRDNWuR6FzK/VmBwFjPJSs2BoDKUTB/DSvFQC/dVMVsJBT38qz/RXcoQIP1/CayvYVqtzfJNn7wMusB0hWWxIBgsyzZ9XMO4sboPFjUtp2LYdzbiu950BEBQKlPHxGDJPumhXjmGtrf1VzlNTqkPVTYXV9jj3bm5f6T72lOzhhlR753SlTMkDQx/gkxOfkBKY0rUTbLN35CWkD9x5GNT+sPYhWP9E05C8b+/EhkD4lM4l2l1Bua6RXWURbK3rg5+snqCfl9CjfhsqmRXljCc6nZ84YixIEif3dD/fxtRoxGTwQ7IJ9BkTSVSyXWek4nQ97/5jG7u/s+db6Gra12upLtWRd/RsDxv739Oic176vy2ie0aRZKjk4eNmrrvzTb7433fYLnCSuyAIvLvgVjYu+ApTwQ3MTshtagzYVcLGTkd5sYBsqgGZxRNjQ2vPosomsb9ej+U8pdmbB/fDIpPx1l7njLbRMit71X7kVjjmnREE++X1QpcQWKrs7w2Zr9tgcePGYRqPH8cjKbHLoaBzUaek0LB5M7rdzmX0d4eqjz/G4uCXUVeRbBI1JXoie7cvmNXltSWpKTdmU/4m0ivTuTH1xhZjZKKMWXGzUCu6oHXTWAtbn7P/3G8heIfA39PAOwK2vwhrHmbP2hcZlL+KHeOfIzbWccn47rDuwAGUZhNBt37MKcVgAAp7Xkfd5WsJHjKz0/n9Jts7yx/fsqHbe9n+9U4AUsbZPSjz/j6QAVPtSa42S7MxeXRTEVu/zMSob62CuuEju5ZM0qhwJoyxJ6XaXKSWKpPLeP++mcz31pHuEcTSXBVp210XDuuIgqoyrJKMcSkTur2WKBMJGT6mKSSkUPm2GvMPHz/2aAS+2ZXX4vGE0FAG1JbxbaPNqfySR8YOR261sHTbvs4Hc06V0AU2CA0ZNQgKEVWszwU9z+8Bt8HixiXYDAYsZeUoe/Rw2ZpBN9+EuajoV0laMxUW4jV8BPrDhy/oefLTq5vuul2NJEmUlFTxafqn6C16runbdvdejUJDg8lxdVdDRgbGU6egNt/+wJXfgfxM4qqHN9x1GLxCYNdrDN/5BDsTr2TM+Bu6+WwcJ+PgPgxePiQnJNDznxuov24XUVe/hG+iYzL2Kk8v1D6+lGRldmsfpbnFpO8w4uFZyehFzeceeXEveg0KJqK3H7Nu7Udcf7u+TtrmIj55xN7o02SysOLFg+z4NovyPHuoYvLVycjO5LlYDY5XtXRGZFQIzz52Ff9MsZd/G0wXLsm9rKoOg9GEJEn86/WdzCv5kQAPP9Z/8iBrPnoAnda5UuHzkc76L6TWl7KrRvfE3yKRrW3tnbomPIBSjT+rMhzv/xTq789VCjNbfEM5cKrtyqRzOeNg4UJ+fVm1Jhp2FaPq7Y+gcK7i6o/IX0ehy80Fpe6Hlfgt7H7p5fl4jRlD46FDeA4a5PK1z2LKy0N/6DC+sy/CmJ2NqbCwWzk47VFV1IDaW4HS48J87ERRxDtSQS+fGEZGjWh3nEapoVTXuSquZDZTt/JHlD1isOl0qMaMAk0oZPwM8ZObBypUMO3fsOJmAEZc+qpLvGyOYJUkpIw0lMmpTXfb3jF9nF4nuEcc+WmHu7WXg6uOAjIWPjithZCfKIrMuKlf0+89+gVy6mAFGz8+gVFnYfkz+6g4bde2OZuMPeNme5KnqJQDJpd5WM7ls8Nl+Mt8GTx+usvXBvj2+7Xct8uIdPbKrerN4fDeRPzrEeRnPIEnNl5LZKofCUMnkjz8cgpObmDTx+/jGxrE4v9r7twsSVKbyeG2WjM2uR6hHT2bS06b0NHa2Fs4dDBPrtrO6zUlzEru7fBzemDcCL5ct5d/pVXyQ6+eHQ9uqhJyeHmnkGwSlcuOg03Cb3Yne/mT4PawuOk2JSt/oLy+FkHmegtfkImYi0s6H9gNjLm5+F08H0GhwCM5GWNGhkvWNVmaXcEV+fWYDFZCelw4t+3x/Ex8fDw7NFYAvJXe1Bg6Vztt2LIF0VON55Ahdi+XTAEefpD+Q+vB/S+jXulLviYO0Ultje6wKycP/5pyUgYP69Y6Gn+7LovZ6JwK6lkkSaIg3YDKoxrfEL8Ox4qiSMKQUBY/bE88PWusACDAgCnR9Bpob+gnnulDYzW63mCRyWT4GHXUVjWrLGcfz2H1D9u6vbau0cyhzXubjZVzOK5OJmF8DNe+8jw9hyVQeqKeDW+u5PVrL+OHp95DWyhRnGbXr7HZbKx881ZevfYijm5b1motq8kAgtSmAJ0+rYJbsk3cnt3aYJErFFztLeOgfzjLDx5x+Hl5KVVcKRrY4xNCeknHRr94gYXjDBnVmAsbCFiShNzfo/MJfwLcBoubbiFJEoV7dyP4eNOQ73jJn6PIg4KQ+baOT7sS6by7V2XPXhizHHcVn09Vg5F16WX8Z9UJjI0Wco9UIMoFwntduOdhNBvZm3WIucM6v1tWiArMtvYvgJLVSt2PPyEoFPjMPC8HJDQF9JWQ3zq3qEwVjGDt2gW/q+zauxubKDJheDcNlkB76Wv61q7lsaRvT8di8SF5dKjDc/xDvZh8TTIpYyOISQkkJiWA29+axOiFzdVVktruicg8+Aj1OQe6tLf2uGF8L6qVXix5eiWNZ5J6r3xvN7fs0nLzAx/w3Atfdzkh96nHthNuGEXvhixEycaJx6eS9+xFDFRUsd9/CBfd9BqBYcnMveNV7njvRxY98QAp0xIZNH8EQxYNxGoSMBkaWfPBfWRtKcBiENm6rLUsvzo6DJnZC21Oa12Vc70uG4+V8OIbu8moajYO7x03it41pTxeXIvJ4nhY7M4xI/EwGXh1f8eGTrNw3IUxWOq3FqLs4YMq9sJ+P/6ecBssbrpFSVYGKf/3IPELLyVn3eoLcg5rbS3mkhIkScJU6Fr9CMlqRVS3vDtR9YzDeCrHKQG7qgYjmzPL2ZhRRl6VjinJISRb5FTm1xPTJ5DACI1L930+X21fyWWj5zs8PlITSWF9269l3fc/oErsjWb8+OYHz74W89+y/7/1+VbzohtO81XYRQ7vwRVUpR3CEN0LT6/uvb69BtoNnv0/rujS/L0rTyAIWkbMH+XUvKSR4Uy4Iok5d/Znzp0DWh0XAu0eFm1YGXuzFnPw4xnU5x3u0h7PZ9Lc8Xx0SSKnPAJ5/bUVvPDSN5SeSV5dI4TyZoUnGfuOO7xeVl4tb7y2n9du2UCk1n6RDjTrsQkiusZGtPUNHDIHIiAgnRPeEQSBmKSxzLjuRSZe/jB+ofZw7MF175C+LpOkKXEkT4nH2oaNbcitwKKsx7ONEK46sblrce9Ps1lcYObE0WblYZlMzuMJUVR7+fLkJsebIvp7axhtqGOj6InFasFks1FhMnO8oZGNVXUsL6nmrfxyPqmpY3OIHMsF8LAY87WY8rR4j/tz9w46H7fB4qbLnDqwB5PBgKePL6Io4uHrT8Vh1+s7eE+ZjCEjA+3Pv9B4+Ajadeuw6ZzQQ+gAQ1oaHn1a5zxoJoynYcuWTuefrtKx+lgJBTWNjE0IZlJSKAOj/fjmxyz6poYQmeiPTHFhP2bfbP+ZcYkjUXs47hZO8E8gu7ZtVVxljxh0O3ai27mz6THR0xNzeTn8/A/7A/KWirySJCEh4On5693tlTbo8DudRXj/7uc3RSQmE9WnL7VlJWQ5Wd5cWVCBTutHTB8lcqVrS0utkj2ckZLwAmG6CdQGZbM38xIOfjyTupzd3V5/8Oj+jBBq2FtUzxsl9r9pT2MVKov9vGlp9uRSR0TJ1j57EI5rEWk2Rqyi3eDKOFXE4Cft3qtxITbkHYgk+oXYE/d3fLoOnwgZM6578UxYRUI6T+feWmXD5q1DqQ5otY7xdGudFQ99y9YVk/r1ZYa2hHfk/ryybVenz/Es/Xw90Xp6E7X1GDFbjtJvx3Em78tkydFc7srI54lTxbxnaOC+gWrKO2kY2hUathUhD1Ljkdz6ef+ZcRssbrqMxWQiNrW5dLX3wsWUHz3s8vOIajXeEyfiO/sifGdfhKpXL6o/+7xba5pLS6n66CMsNTXIg1p3RRY9PFBERGDMaadPidHC6mMlNBgtzOgbzoBoP2RngtZmq4QoQVKvC1MNdJYaXS0fb1jOkIRUYiOcv9OSCbI2Q0OeQ4YQ+LdrsRmatUJEHx97Iq35jICZKANz8/GMU/vwkEyM6pF4/nIXjDX79qGwmBk3YqRL1rv4gccAOLpxrVPzdn67F7Ax9tKOc4e6gtVs//t4+ISSsuB9xozbSZhuPDXRJ9mfdwU7vh9GQ57jORht0S/Ei/2eEdhEkWeSBNY/v4TjT84i3lhNabaGwge3kf7INqqqnBOvMxmPM2yovWP3ld/kYhbkTPIo5a37FnU4LzhyQNPPF935CDKZgsjeg7A0yig6tbPFWGVRBMqqtnsy6Y/YvSkGtYxjo+xtAXbp9K1ySj6YM51RlQX81yCn3AGBvre3bOM1iydBjfXM8tewKMyfayMCuadHKE/GR/BWcgzfDOjFR+H2fflcgNw+U74Wjz6Bf/reQefjNljcOIUkSRSfPEHWnp1EJfdtdVz4FRIuVT174rfwEnS7nb/DlCQJyWxGt2MHgddei/fEie2O9UhKwpidjXReo7RjRXUcOF3DtD5hpES09iioFDKCQz05mdt5YmtX0NY38NW2H9h+ZD9XjL+E2NCuNbMbEjaEA2Ud5EXYbFiqqmg8fhxjRiaygACY8rj9WPoPUHyON62+GABZ8K9nsGQd2k+jtx8JPXu5ZD2lhxpRLkdfV+vUvKIsI14+dfiGuP5u13LGYFEo7d4PpXcIKQs+YMSA1Qg2OUaPKvZkLODQslk0dDFUdOf107jMo5pplDNz9ihEuRy5h4oHAjVcgt1j5GsTOLa+k+Z/kXZtH3OYfa/FMiPlxuZLzC1JIh88fn2n+/HUhDH/4Tu46P7riOhpT0xOGjYfQWYjY/fPLcbaYmsBsBpbN/30HGBPXA4aGs7EyfYqmvFZeo7ntfxciqLI88MHYANe2t7+d4rNauWBlat43OrFEH01e6YM44MB8byW3INnE6N5oGc4N0SHcHFYAGP8vYk+421zdUDIXNmItc6EKsbbxSv//nEbLG4cpiI/j+x9u/ALiyBh+Ci8/C6sB6Ej5AEBSE5WdEg2G6WPPkbtN9/gM2eOQ3M048ZR9+NPTb+fqmjAaLExvndwh2qd40ZEceRIucsrBDYe2sGatE1cPHIWc0ZNQS7vuoGolqsxWNpXXPVITka/bz+m3Dz8Lllg97D49YDEM3kqfjFNY3snT8QsyKg9ubHL+3EGi01CzEhDdU45syuwWSyU5+Xw0yvPUVNS1On4itpaTDYNvheo+stqsRssckXLcJ9XQAKTpmQyZtROwnTjqA04yZ7MSzj4ySzq85wTgvPy8+GZJ67hnWf/hl+QX9PjSVX2cE7EEyPIVoLiWDXWDjRb/na/3bhQeCsAG/UyGyPig+glq+PeJAv3XjHV4T316jeDpCELmn738PQluocVjresYJI0JmyiEZu59ftYGe0NcoGGHUXULbOL8SXW20g/3LrqsFdMNCMbKllhltNobF1VVK7VsmjFKj72DucSUx3fzZmCl7LjRqXCBaoSMhyvtAvFXQDxyd87boPFTafoamtI37YJAUgYNgpPn/bzFEQBbBcgZtsmguDUl4G1uhq/xYvxu+wyRAdzDUQPDzz6JGPKyyO/Sk9ZnYHBPRz7ohgxKJyNu1yTJGw2G/lx86tEh4SzaNQclHLXdGYN8wprV5NFERmJz4zp+M4+J5H2xI+Q+XPzz2eQefiS7ZOEuvTX6VGzM/sUvnVV9BvSveqgNpEkMndu5YN7bmHXt60rU86yP/sU47YfRy7J0cdEun4fgNVi9xwo2rk4Kn1CSbnkQ0aP20l4/Xjq/E+y9+QiDn4yw2nD5VyqPtmAoPLDWncSUaXAc1oMMWY48fgOtDXttQmw55n4y78kafHNzBj3JXPG9WfDU0u489p5KBRd1x/K++rfLFLtZooqjarVzYKItlwBS3wZCk3rpGtBEPCfn4AgFzHl2/NZzAJ8Khgpq2sks7AWs6HZM/OP1ETq1F5c9OM6dmWdAmDPySxu+P4XRuxIY593MA+qTLwxYyIyB3SGmuxoF7tYjDl1KGN9ENvRnvkz4zZY3HRI8ckMirMy6DN2IkExsZ2O9woKpt7FlTzt0XjkCDWffOrweHNJCYqIcKfvyD2Skyk5eJTT1TpGxbfOd2mP6BgftFUGjN1UEq2pyCV9/wrUQQYSIl0rEJXgl8DxKscrQVj3aPPPVS2Tdk3qAKTGWgCu2vISs1bdh8Xa2lXvCnbv2Y1VlDF+mGsNlvn/9yj+4RFMu+XvKNVqdn/7RQujeNOxdA7nF3A0L495eTWIVrvnIzTywiQ/njVYZPKO7+aVPiH0WfiB3XDRTqDOL5u9Jxdx4NPp1Oftd+qc2k37aTxuN+iDrrXnBw0b04MjfjL8bAKHv21bEbhcW0LUuJcJ7WfX6fEOr+PI7uecOndb5H3zLLEn/mvfW1g8gbu/p3atXaRQklmQddDY0mtIKJFPjCLqmbFEPDmanXOjOOAt0P9gJuOz8nh8Y7Pm0qhePXneT06x2oeLC+vp8+MW5hXp2ODhz3BTPetTe3D3KMffb+KZ7xmbiz0sMl8VtgbX6/L8EXAr3bppE5vNyuHVPxE7YAgRvZMcnueflExVZga+Ma6T6G8PyWbDc8RwDJkn8UjsWK3SkJmJubQUdb9+HY5ri6rCMvLqrYxPCHZ67pQJMazdnMecaV3Lszh1fCs2q43+Iy9jS+YbXVqjI2SiDJWs44thCyY9DDmb7N6Vfe/ac1pU9rtbhfY4ZTTS9+NUhDO3lUdr72RQoOvfCzXHD6PuEY9a7enSdXsNHkavMyJ0ZTlZHFn7Cw3VVXgHBvH5nn38Q6+AijONCWVyblYogDp6RF6YfAKL+YzB4mClmd1weZ/4+kpOrVlKqc9m9mZdit/2eBLHPoemR/8O59ssVupW1SOIcrAcw2v4rU3HJt89lMrHd9Mzu56DD22lNN6H4GwtFlHAHFhAbe+XEfxMNBqvYeL4m9i+aTLVtpXAY11+/gDyY18B0LBgOd59p1L91UQCdn5JXfZGAq3xyHPB+OyHCDYDyDwQZj6CIrV1IrYoF7liZByjiuq4a1cWpZ4iPwtmLsvNIzo4CD+NhisH9+cSo4nXt2zjiNXEWJWaq8cMQa1w3qPZFBLq1rNvY125eMG0XX7vuD0sblphs1nJO3KQfpOmExDhnKvbMzoGXVnnsu/dpebrr/EaNgyP3r0xZmV1qJliSE9HamzEZ6rjMXSA6oJSdiz7jpO7DjH2qnld2qe3two5AlW17eeKtEfGwVVofINISJ0A4NJcjS7TbyHMewOuORMOyt9FXV0+ef+JpI++mk1enk3GCsD3+Y41inOGkvoG/PKziUi9cO0aAGRnLlLaygqsNhvPljcQWVeBX4NdGXZ0VSEykwybAL2CvS7IHmxn1JKd7W6s9A4ieeG7jJm4i4jayWh9T7H3xAKOfDAX/em2PSQ2m43ih3fajRUg7OErWxz38FBQvTiejFgvLBKkZtYTbhWo9lHgGbAeL48qUgZ+xeyZj+LlGYa1IQyZVy0mY31bp3MYX2sphfI+aFKnI4gi/pdupHbc1YiSgFJ+CpmsHkQRySMA0XAa8bsrkQwtq31sunrM6YeQjAbiIn35ceEQrtF40fvwWtY+eAcvPtlsVKlVSu6fNplP58/k5lHDumSsANCUw9LVZ942ksWGIPsdfBf8Brg9LG5aIEkSaRvWENyjJwondD3OIorihe32dQZLRQX+i+zlkZpxY6lb+SN+F89vMUay2bCUlKA/fJiAJUucPkfBnoMkXzyLAO/uyV5PmxzL9z9nc8lcx3qW2Gw2ju9fQVjUQIIjmkNA1vNUZKt1RSjlnmhUv0HyXVgqaMIgdyv5G/5Jv0Z7M8WS6BnMCh/BxoKNGOoP4OOiXJtzWbd3L3KrhfEjnRNpc5agKLtn6NVXX+Lo+NmUB8fwti/MTO2LyWzBU5XKq5+kYfYQkXWgK9IdrFYbgmjpsrGq8A4iedE79NKWcXL9/ZRH7KDq6CzCto+l94LXkKubPUPan86oF1uriHp+fpvrpQ4Kh0HhnDhSSnZWDWPnJxIlFzm6ajkAccHNnsTgoCloeY8DW/7NyGldCw2VbPiQcJkenaVZU0UQZfhNeg0mtR5vzjyK/IuxGH/+ENUltwNgyclAWHYRCiqxiD0QblqFLCySfg0lGA/bk3h9czOprKsjyIWq2k1Kty7+PjQVNSAPca1n8Y+C28Pipgmr1cr37/+PhGGjnAoDteICGyxlzz+PZGnOjZD5+KDs0YOGbdtp2Lat6Z9u5y5sjY34X3ppl87Tc1AfTh5M7/Z+ZTKR8DCNQ2XOFSU5pO35jJ7JE1oYKwAKhR96YyWNpjrWHX+OU+Wb2XPqg27vTxRELDYnc00EATwDYOerJJee5GjMYHi8jo/mvsl/hl7N19NeBODjgw9zuqECs7VrEu9tkX1oP3rfAOJjY122Zlv0mzSN+Q88yvYR0zgUHENUfTVzB6SiksvxVnsgE0VkNvBqtPHih0fYeKS0y1L27WGz2BDE7iexK31C6btgGSNHbMDf2JeS8G1s2T6A3NeeovS5FVR9tp76zTXYGiuI+M/cTtdL7h/GhIXJyOT2S4hCHoDM7IMob74HHjLpQRqKPamo+hmbE6rRZynZ+iXh2+4GQEjtWLvlLIrEVIyeYxCPv4t05j1nXf53JEGOceSbCDYt1o/+hmSzkdrH3gKh74RFWEUZy3/6saOlm3i/sIKFh9oWXTyXppxbF34d2vRmzMUNePTyc92ifyDcHhY3gP0u4MSJEwRGRuPp69ettTyCQ9CdPo1XD9fnLjSmpSHz8yfoxhtaPO45aGA7M7qOJq4H1j1pQPdDD6OGRfDNDyfpHefPVysyufTilnoljQ06so79gsY3nNQRV7Z5R90vai5phT9R11iCr2cUWkM5amX3kz29Fd7ozDp8VU7eXVbZKynkQMi4B1ocitUEkBR9NRkFy5j5/SUINiP/Hv8aC3p0L0nWYrMhZqah6jPgVwmR9Ro0jIoSI+Pry3ltwogWXZgBkgeFcHJPFao9VZzYU8WJSdXcvtj5btHtYbVKLjFYzqL2i2Xgwh+oydjEweIbyE36hLjtz2FJU4FoI/iGga2eoyMUyz4EGTTWlqL2swum2WwmlD4mjHXKMwq1jle11GYfwHPtPSCHWimA0Isdz4MRxt+FYtVijBu/QT5wIsrGvZj6PYpq+hUYBQHVzlsxHdyC/5CJeCp9KD28m/o+AzFsWYftsssROxB6+7y4ioey7OXu4ZsOA53nqJRYXJcga8yvBwlUf1GDxe1hcQPAiRMn6NWrV5e+rM4netIUCnZ0v+PruViqq6n6+GNqln9NwHV/c+na7SEIAoILb4/6pgTxv/cOY7XZqK9rDu8UZB8iN3MNKUPn0jN5TLsXYl+PQKp1eQT7JGC2GpicfA+j4rv/WviofNCaWsuYd4btlub+K2qfmFbHP5/wD/pEX4laFYEo6VmR23mrg87YlZWNt7aGfkOGdnstR8grr0Dr6c2kQB9CfFprrUztH87i50Zxw+sTqAlSUJPn/OvYETaLhCBzvUyAf9JEwrgcJJGIu0fjPUlB8M0pqPvEdWk9daPdW7F/5yIsFhMbvl/Cng0PoNRYiIq8CpmToUH9Z9ehFk2UDH4Uv8dzzqkR7hzlsGmYFKmIe17EdGgPgmBDPsguEKkYdwkAUmE6JQfS0Zu0GA16hs+cg1ddFU8/8+92vWSrKmq5N7MAGTDUx5Ox/hrG+3szKcCbqYE+zAjy4aJgX+YE+3JxiB8zfOzJ6IEuFNO01hlBsFcK/RVxe1jckJeXR2RkJGq12iXrKVSqJsErV1D5v3cw5efjM2smgddc0/kEF2I0uO55JMUH4OWl4OCRchr0Zrx9VZTmZ2K16ugzeEHnCwAzUx/jYN7n9Aqb5rJ9aRQayvRlTs87IjXyWGQ4d2sSmRSS3Oq4QpTx1SS752X4N4vIretEKdUB9u7ZjUUmZ8KvZLAsyz4NyBneo7VBdpZgH3uOk8xHiaENxdXuYLNKCKJrw0z1xZkUHvmKUuWX+OnGovIPRDUtsFtrjrpoNVkbXyHf41U2rx6O4KPlrFpLTO+ZHc49H23WfoKt+ZRHLyByzr3Ob0YQYNz9KDZchbj9dmyiN7IedlVuQalEkkQks5HVb74MwJBJ8+k/aCCZgDptP/tPZjEsqaUHdH9dA9cfy0MpCmwblkSMunODIa9Ey2ptAzJc5wk0ZNagiNT8ZZNu3R6WvzhVVVUoFAp8XZhsBvb4rSvi+VXLluE5aBARTz2JZvTo7m/MQeoqqtny3ldEJ3ftjrM9osI06OqMhIdrsFmtlBcfIDZxjFNr9I9eQGbRDy7bk5fCC53Z+WaSxyqPkatUMOSSTzod6+0RQV3tNj7JdrwrbltUHzuMITbBZcZ1Z3ypt3vY+kW03a/mXKIS/QkpMrK+DSXVrmKzguhCg6W+PIt9x+dTrPoYBInoxKtdtvbZBoQ2eQPajAQsOg2yhvEEhTseIpMkifpPrsUoeRAw9+Gu72XsXAyJj2BVJ2KZ8CrI7Pfmgihgk+Ss33CI6oZiLr7hIQZdczEyUWTJW8sA2H2gpW5NfqORBYdOIQA/D0pwyFgB1yfdWutNGDKq8RoY4pL1/oi4DZa/MDabjdLSUiIjXa/SGTpwCCtv7n64wlxUhOfQIS7YkePkHsng2NrtjPnbIuJHurZ0VhAEAkM8qajSc3z/CuL7zXJ6DZnMA6u1kV05jovmdYRKpsJoda7NAcDO4p0MDBmIj7JzWXo/D/sd/HM7bueVY987fS6Asvp6fAtOEZE6uEvzu0K0tpIEbYVDyqZL5sTT4C0j8+0TfLMtjzq9mV0ZFRiNXQ/pWK241MOStf8ZBJuc/lHLGNr3Z0L6tN9Ly1nCUi8iTvkgp77uQ4jscqbPOcKEuR90mBNyPkU/vkKkWEDj6KWoQ7t3s+Bx+X0oH1yLcnyz99Ji0LG6pBcna2qYOOs6ek5t1msJDwigPqIH5dkty77nH8rGLEl83C+Ovt6OV+cIZ94yrooq6w+VgwieboPFzV8Ns9nM7t27iY+PvyDrB/brR++xE7o832a1cvq661APGOCyPTnKkU17GX3F3AtWqjplXAzbNn1HROwgPL38urTGyNCp1DcUcuDb7t8hC4KA0AW3tdaoJdYn1qGxl8bPaPr5vQOPoLc4HzpZv3sPMpuV8aNc0525MyRJIlfpRYrMsSuOTBSZfJM99FD2WQ4f3r+Ngy+n8cKyI12+y5asgktyWEq2rGfX17Op8dhCD6+7COo9Gp+QblQCtoHKK4C44ddj0SuQumBjWY06NPv+S7kYTfD0O126N4DGqmIqnhnGqQZ/EmPjGHRN6zCsd0Q0soIc6s9peFppstDTU8WUIGe90K4L20iShG5fKeqUIERP10sF/FFwGyx/QQwGA2lpaQwfPhyV6jz3puCaUA5A2OChZH+zvEtzMz74BdXCq/Gd6Vz82xV4mRspO5V/wdY/dGobfUYOITC0azL72m1LsRbsxD9jFXLvcBfvzol9mLQOeVcAFsUO4+Fx73DFwMcBeC9rs9Pnyzq0jwb/IHqEh3LLB5eyYmdzKMpkNpJZmOb0mh2RW1aO1suHQYGOX6iGJAQy5N5UABp85TT4yvE9UMtLHx7p0h6sFhBdYLAUFX+KPvAEcfL/I270DZ1P6Cpncyu68B1S8uk/8BHrUcx72akkW0epefcy/G0lmG0yFD3b1kSaOnsePvW1fL1pc9NjJknilN55D+RZrT9XhIRMeVosFY14DQ3t9lp/ZNwGy1+MiooKTp48SUpKCrI2XLUKuRyjk12Q28OvdyLl2ScdGmus1mLRGag6lEnmF5swmmXoqxtcsg9nmXr/zeQczWT7shWU5rtWtbe4qohGk46kyK7d3TakvYsy+TK8B96Oh3cvbDW/zWsEoDPr8FI4rvB6adxIHui3ALkyjOUnv3HqXFabDSHzGKrk/hzN3ssOWTqPZjWLkd380WUsWr+EXemu6xa9Pfc0AGNinSvPH54QxKRHBnPrP4dz3SPDqR3sh2pvNcdOVTu9B5tVcInBogjSoG6Ip+e4my9oObhw9irtpHS8oSybkNNfU+A1Av/+Uy7AziCs8Sj5pggAvAPb7gmWmpxMfWQcOet/6fb5mnNYureOZJOo+yUXRZgXqp5+3d7XHxm3wfIXoqysDL1eT2pqamvPyhmiesaTe6L7YmkAokKBnwPS/pVpuWz+93fs+u9K6orr8Ar1Y+Bts8C1xRFOMfLiqYy6ch4ZK9e4bM3SmmKO5m5lbF/n81bOYjVU4xFk7wfjk7gEMcT5/kZtIZ1Rk9idU0VupWMJuCabCYXMOfe0IAgMjVlAbe1OdGbH2xXsOXkSVWMNG6yfc+PuO5oe/2Tjm9RrazgsnkIS4NXdL/Lg57dgsnTf6D5QWYPa2EhSqPM5A8mRvgRqVARrVNx1dT8aVQKrtjjntZMkCV0t2GivO7LjCIISm/DrNcxzNiRU++nNWCWRwKv/d2E2BNgkAXOI3fvV2NB+u4BeU2bin5/NgUz7zZbyjOFRZWoZxtRbbEzYm0GvLUd58lQxD2cVcn9GPneeOM3Nx/O493QxAIZueqwN6VWYCurxm9ur2SD8i+I2WP5C1NbW0qMTMbfI2DgqS11X5SD39KTiSMfu8KyfDzD1hasZ8+giel40jKhJrheB6wqiKKKIiMCqc76C5nw2HvmB3LIMpg++rJubsnvF9n6zhNBPFtF/4uPd3luj2UBORR3bsyrRqOTkVTn2fDUKDfla50Nn48L7IyCxrviYw3N2796FQWmjNNCAVZR4u/9/6WOI5JWcd3hl7dNY5BIao4JjstP8bN7BW7/8x+l9nU+6yUasob7b2kTeKgWNsV5Yctv3hjXqjS1CsSaDmXcfXkVDaTheoYfIyOzeHb8oKpF+RYPFGbfChu3v8YjXaU5Ez0MTFnvBtiQXbXgpJUSZjIJjR9sdd8mUKei8fFj34woA3u5j/85M2XGM8E2H+aHMrlh9+4nTZOgM6Gw2Xs8v573CSj4pqebr0hp+KK9ls9b+Oaqydd1DZsispvrrk6h6+qLq6dpKzj8ibh2WvxAOf/EK9qRXZ7L726P3wks58s5bBPdvu0tsXVYhkSMS29yb3N+HhvwSNDG/XZ4GhkZkXt1vbCcAI5PaaH7iLGeuA7LABGz3vdLt5Y6X5/LDib1MiplItL8XkX5q1qU7pskyLXYaHx77kBlxMxgV4Xhfn3nRg3lW8GRF7kbm93CsAqzm+BHEqAEkGWzUSPWMHjCd2LAE5v+4gK90q4nXB5Oo7sXP7AZgS8lW/u7wjlojSRJ5Hhqm4XzTyrbw8VdhztOhN5rxVLX0Sh3bk8Pmj3JAaULuAZY6JfZ3jIrIYTq8e6yjqEhFUmLXPXOioEQSTJ0PdAUCYHXMYPlm20c8kfMKqNXsZi/DPh7O45NeJjratYnV5toyFIBPxS58Q6ZTU1rU7lhPpRJxxASELasoq6lBJTR/N0nAbemneS63lFONRiJUCj7r1xOFKOAlE/GSy/AUBeSiSFltI/0PZRLaDeG4utV5KMK9CLzaderJf2TcHhY3reidOoD0A3tdtp5MqWz3mK60Bq8gTZvHoi4aQ8maXS7bR5dwUVhKLvNEb3SFCqpE5v53CIwchqdX18NBkiTx4YG1HCg8zdJxixkRF0Kkn13bxFGn810D70ItV3Pzupsx2xy/e/dWqIgIHMnB05/wfNqKTsdX1NXhUZLJPp+NZHiUMMXPrlsTGdaT9ya+zcNRd/DZNSuZ3ncuwpnrpJbmbr0F5bkczdnf1tLtkl1SSr2nN4MC/Zya1x7jJsTgYZT4el1L8Tx9QyPbv81EkEQ8/AWsRhEBEUmwEj/Bk4kLBiAIYLG0f4F1BFFUYhNdK2rXEY44WDYc+Ykns14k0RDOIqU9dLwXPf/acp/L99NYdAIAbfylRKf0w2o2U1l4ut3xi+fNRwJefeAebtrT7I15rFc4ViDnjLHyanIMyd5q4r08CPdQ4iOXIT9z83X24trVHBZTcQPmEh3eYyMRPdy+BXB7WNy0QVhkFCePdq2qoS06yvGryy0jYWTbdw+iKKIMDkBXWIZX1K+fHX/q0Ak8AxyrgumM3lEDOJF/mMEJ47q1jhQ5msbc9ST2vqnLa+RUlfHlsQ1c2ncyvQJbv64yUcBitSHvpKxbLsq5Z/A9PL3naYobiunh43hy6iuj/4/FP2xg2cFHuSN5NuoOpNvX7tlDla+JgtBGhloSuP/KZ5qO9Y8fQf/4EQBMHDKHnSkTuO3zK6mU7G57bUMtl/xwMY1KKx8I/2NonGOeIHvCrQdjY9tXuHWGgbH+rOzpiWVVIU+kVzNrWjjZG09RfRJARercAMbOGgCA1WJFJm++KzeZfFEqD/HLqmuYOeOjLiXNiqIKSTAjSdKv0oOps1Psz97J/+1/mEijLx9d8zUaL1/uLD/Oo6tvZLNVy7CP+rF2/k/4+bmmH5l26/v4AH4DZ9LfO4aj61ez+aP3WPjwv9sc3zs0BNXYqSg2/YJnYwM6L2+OjkohSCHDTy5nTogfGnnHnpOzTmMn84+b97wmD1mgBx6J3e8X9mfB7WH5C2FxQvtCEAQsZtfEvJU+vhgqyts8pvD2pD63/Uqc6DnjKFm9wyX7cIaja3dQmV/CwFkTXLJeqF8wdfrOuzV3hm/YSHKFdLZkvN6l+atPHmZj7iEeHHtZm8YKQIiPisoGx8IHYyLt3o7C+kKn9pHsF9H0s9RJ+7hTh5q9Iw9f9AwyWfv3WRq1N1pzPd6iF7X6Gv614j4alfYcguf3Pe/w/g5W1+Jl0JPQhYTb9lh0dR/qE70JytGz9+1TVJ204hVjZvRVkU3GCtDCWAHon/ouACrVdjZuiic/3/nPgyhTIcnMDodqLiQni45z++Y78DOq+GDh52i87LkZ/iEp/GPMv1HbbDQK8NPBN12mEisr2UeNzQ+/fhMIie1JcGwcp9MOUVnQvpelqsSeNLtv3hRKJw4gRKVAFEUujwjs1FgBEM5YLLYuPAft+tMYMmvwnRGLIHdfps/ifiXctEnigEGk79vjkrVip80kb82qNo/VFVbjFx/R5jEAUSaiDA2iIc91icCdcfTnTYgeKobPc0HOCfbwy+6MTahsjieZtocgCKT2+nvTl6EzGM1mTlTkcsOQGR3mMxnMNtRKx+Lu4V7hhHuF8/iux9Gb9Z1POIekyEuQBBX5utblvkeq8/k0awNmixkh8xgWD3tYUaXuXGnUKkikqwoZ+/U41tj2MIEBANQ2VGGwOJaTkm6SiDU2uNQb0SfMh0fuGsrJ0fWUBx9jyb+Gce0/pzNgdGKH8yIiBtM74cum348dd17hWJQpkQQLkvVXKr1r52UrrDrNdb9ci9Ii8t7sjwgNiW5xPK7nZPZcbffu/qfgF1KXpTL30xHYrF0PZ9msFrxt1ei9E5oem3P3UgB+fOmZ9qahaKijqu9QPJRdE2prCgk5Oc9cqkO7Ph/vSdGo+7Zdfv1XxW2w/IWQyx2PAIaEhVFb232PAIBMrUbfxloNJVV4+Hp0elGIumgMJWt3umQvbXH2Lq6ytJIt//sCTWwMfce5ph1Ablkeq/d/QVRQL8L9XBNe6hUyEkMXuit/cHAd1wzsXOOiot6Ir9qxL2m5KGd81HhKdaUUNjjnZXlxxJ0gyLhvlz152Gxt9uhdveZm/rPzboZ9MY9tKVls7leIh1lGoAN5O33UzerN90XcyGvXfMJNfosoEWuY8Np91Os7NlpsNht5am/6KC/M16PKWIM+RE5AiONVH9HRQ5k0MRsAT7W30+cURRWINqwu8pp2htTGR7q6voJrvr0cs2ThrUlvEhfTumEmgCCTM1Zqll3Iteq4/eOh6OsKKMjd6HRSSMPxjWjkRiwRw5se8w+PIGH4KKqLCjm8tu0KLKsgouyKZO8ZRLFrvYS0G/KR+anwmRTzq4Tv/ki4DRY37SK4qC26KIp4+Ni/nHM3NCewFe9Ip+fMzg0DURRRhwdTf9q1Im4Ap49ns+3NT9j4+jJydx1i7I2X0jOlV7fWtNmspOXuYe3BFVTVZTFz6BKigmIQRSUWS/dLpPUmLTpjGRar41UftfpGbFgJ8Oz8YqeUO/clWW2we0g8ZB5OzYvWBKJUhpJX9gs52ioGfjaK/l9Mtx8URCSZLzabFq2XmVnKMXww4R085J2f4/Kh1yJIcI3vfK6ZehcAd857FJtVQ7VVwUVP/cCetFNYzyQXLF+1k1tf+KaprDiruASdWsOQIH+nno+j2Oq1KHz9ujzfavuWujrnumuLZ/42khPaN11FQGxlVOgM9Vz9xSLqRB0vD3+evr2HdbjGm9fuZ9eCtWyY9RXXqmPZLrMw/PtZzNr6d/YdXebwXsq3L0f59RLMNpGAYfNbHJt1130oPDzY9PE7GHRtlJxbLaDougz+WVvDGZPHWm+iMa0S70nR7lBQG7iTbv8iFBQU0NjonACVhITZZELRQZVPZ9hsNsrTMig/XktYeh75W9JRYKE8vQjPIG/UwX4OrRMxawy5n/yE97Vzu7yXc5Ekicwte9FqdYy7vfN+POsOrcBqNTAscQoB3m3f5UuSxM70VRhMBnpFDqFf3PAWxwP8x1BVtZnQ0Iu6tfeDp7/EYCilsDaN2EDHGgF+eGgttwyb0flAwOxknkNiQCI7incQoWk/tNfuuYwlCNj42+ZHESQDNlMxZY1a+oZN4Ej+F+y/cj8goXCixH5A8mg2hq0nwLf576QzGhHlDQwICOFYmciln2UQJezj+hGRPLFLC6i56t+f8dbd89ielw+oGRPnmoTP81HoG9D0dN4ott9tTwY2sP/AKCIj3iIpaZpDc2Uy+2fYanaNinVnnJuXZLIY+dsniymUV/Ns8iOMdFDJVuMdjsY7nHsuWUHI6lt5rtJesq6tze1kpp3iX94gePfD1MpC8Lp1Ld6hLf+ecrmSWXfcxw//fZIVzz7B5f9umeNk8fBE3ehcmPNctFoj96xaTWNkDNb+EchUnRs/5nL7+VRxbs2VtnCbcH8RDAYD/fr1c2rO8PGT2LFudbfOu+XTLRzemU+vmZMp2HSEMQ9dTH1xDanXTSXp8gkOryO6uBHhpjc+Qebny7C5Heep2Gw21h/6gd4RyUwbdCl7Muyvh9Vq48fdH1BSbRdO25O5iXUHvyEmbACTBy4gNqR1dYm3dx90+pxu7z3YOwmZTEW4b9su9fM5XVODn1qFWtG2uvH5eChkTd6HzihqKOK1Q6+hM+swOeHxOUtygL2nS3XN1qbHpn5/ORUNeSBZqTM1OGWsnCXIP7RFnk56RQEAU/oNYM0947m/v4I6q4wndmnxtem4LE5gl96XOU9/z86SKjQGHT2DAp0+b2fU6htRmU0E+Xet8mPypHcIDHwEo1FNUfGtHD3qWIsD8YxnyvoreFgkyYZ4xjtrs9m49ZMryJAXsrTHHcwYucjp9USZnKsuepf3BtjLnYP8Ou/BVfDVY4TueYgqRRz+9+/BM7Rt4zN+6AiiU1IpPnmCjJ1bWxyTe2kw69pXxO2Io+nl5LyyCfnp7VTt/Jx3b/gbu177BGMnrTQsVY0ggNzfOW/lXwWnrgJvvfUWqamp+Pj44OPjw8iRI1m1yp5MmZeXZ+/62sa/r7/+ut01JUni0UcfJTw8HLVazZQpU8jKyures3LTgpMnT2I2m52Oh6rUaqfyXs6luqSKFf9dSWRiGDNunUH0hFT63z4PmUpF8lWTkXs5/4EUZCJWFyUNavx9CE/s/Itv/aFv6R83gh6hSYiiSFL0CH7e+wWr9y9jXL8FHMzazC97PyEysBfTBi8iOrB9L4MgCEhS97UwEsPGERYwHJXcsVb336Zv5ion+rMoRIG0ojqHxt696e6mnz0Vju3nXHSmWjxkaq4Z/DSvz/iG5yZ/ioCV4qodgMC1mx5xes22yKiwG5YJgdFER4Rw++XTeHZmLL7WBp6ek8izN8/inQXxlEjebDosEVhYfkHyB06WVQAQ1Q1jaED/a+nX93MAKiofIDdvQ9Ox7FMb+eqniew6+UGLOaLcbqzafgWDxSZZkZ353rj38xvYK2Zya/ASLp3c9VJ8AG+lXa9Joe44VHf6vduISn+ZMs8BhDy4E3knHdHn3f8IMoWCNW+9gtnU/PpoQiPwLczlsScecbghrM1mY93PmXh/kolFa8/pmn/zQ4SExrFr+3Leue1a1j7+ItVZbStEWyoNyPw93OGgdnDqahQVFcWzzz5LQkICkiTx8ccfM2/ePA4dOkRSUhIlJS0rOd555x2ef/55ZnbQcfe5557j1Vdf5eOPPyYuLo5HHnmE6dOnk56ejoeH28rsLmVlZXh6ehIS0rXyzNDIKLavXc2YaY6FE85ybPNx5v1jdrdlzc/Fv18ClQdOEjqsa40DAXSVleSvXk2/qdM48PMmxiyc3u7YTUe+p3f0MIL9mst/48ISiArqgVymQBAEBiRMJNQ3HHkHpbbn4uXZi5raA/j7ORbKaY+2Evk+PrSOioYGDNYGqhsb8FZ6463yIDU03uH9AVTrTYyKd6w6IaM6A4AvZ3/Zyci2qTXW4qvy4b6+c5oek49/kXvWXYaAxOmKjeTWlxHn3T0dnpwae4lq33M8XxdNHMpFE4c2/T5leB/espq5/sdCVNYL45I/XVkJQM/g7nlvoqNTOXVqPlbb9+Tk3ETOOY67IE84lf1fRva+rukx8UxIyGa98CEhm2RFlMn51/J/sN66jyWes7h19tJurysX7c/B0s5zkGw28l+/jB7VaygKnETEHd84lIenUquZcsPtrHnrZVa+8AyXLH0CgKCICGoAn/RDHMw+xZDeCR2uo20wsmtZGin5jaSl+GBJr8G3IZhek0bSa9JIqnML2P/ZN2Qc386xhzcRE9aXEUuWEDW82fNtqWpEHui+7rWHU1eTOXPmMGvWLBISEujduzdPPfUUGo2G3bt3I5PJCAsLa/FvxYoVLF68GI2mbSVTSZJ4+eWXefjhh5k3bx6pqaksW7aM4uJivv/+e1c8v78kNpuNyspKTp48SWlpKVFRUSi7mIeS0DeViKgoDu10XPvhyLqDJI9OcqmxAuCXmoAuI7vL8+tyczn19dcIZjNyP18aT2W2G/o4kX+UIN8YYkNau5IVcmXT3XdkQLRTxkBY2FwqKta4QF9CQpIk7lv9dtMjx8tPsat4L4fKTnD9oFk8MflK7huzkGkJAxxeVW+yUKZ1/KI2MtwuoZ4SmOLwnBbnM+sJUrc0jqZG9EGmtoe7AgNnEuXZ/dBMYX0JWNUEazqu1Jo8qj+BkRqKKi3oza17wBjMVlJf2sTIt7Z1ydtXWl2DRRTpGdD9hN4JE14gPOy5Fo/VVEdQVJhEiMpIcW1zGb1MYVcxvtA5LDarFRs2vq9cydeN65gpG8nSRd3v6wQgV7Qf1pKsFopfmkWP6jUURi0m8s7vnCoa6DthCiFx8eQdPkDekYMAXDF1KoMfsAvLbX3rpQ7nZ5yqIuOl/cQWN5I7O4aZV/WnoiyXkNBmL25AXDTTHr6Hm9/5mNGTL6e6poivXlzKd/c+QtVJux6MpbIReaDa4X3/1ejyFcVqtfLll1+i0+kYObJ134cDBw5w+PBhrr/++nbXyM3NpbS0lClTmt3Vvr6+DB8+nF272pdkNxqNaLXaFv/cNJOTk0NtbS2RkZGkpqZ2e72effqCZCOngy7OtWU1HNlwkNrSKkwGG8ExrhPcOktXtEfOUnbwIIXr1tHvlltAoaBg1SqiJo5m7f7Wz8lqtXC6PJ1+sYO6s912CQ+bT2HR591eRxAEsmqzqGls4LYfXyIpMJ7li56kX3AiPf0775LdFmuPlzE5yfG/ndakZW6vuRTUF2CxORfuMllNWCRLm8m6S4c9QEzITFbP+DcKJwzC9ijXlyKXHDMSLh0SjbXBzM6i1qX4+8q0aMv0lJzWsiavyul91NbW0Kj2QuminKzk5AX067uS1H5rmDzpFBHJ/yEvbwBmSWDz8aeaxsmaclgayTmVyU8rv8LWjZLd9rDoTRSE6PklKp1Rtj48u+Ttzic5iMLDDwDzeSX9ks1G8eujCNfuoiD+JqJueLdzqd02uGTp44gyGT++/CxWqwWVUsmEQfZGrFJxPvtOnmxzXlpGBfL307HIBRQ3pzJ2TA8M2gZqdWWEJ7TW2FF5axh+0xKuf+8Dxk29mtLSLJY9cierH3sefUU18iC3wdIeTn9q0tLS0Gg0qFQqbrnlFlasWEGfPq2l1d9//32Sk5MZNap9KezSUnuZamhoS3dvaGho07G2eOaZZ/D19W36Fx0d3e7YvyI2m434+Hi8vLxcFocfOHosBTmnqDnj0j4Xk9HE4XWH0VY0sO2rnQyY1najw9+C/A0bOf7BBxgbdKTcdBOCIKA7dgyZjw/JwwZTV9c6qW7Hsa8Zkdx+qKi7eHv3wWgsdjgu3h5PbFrGrYOW8NGhtRTUF3DdkCnIRBmPT7oGtbJrF/n4EA05lR0nBp5LtaGaladWMuu7WfyS61xH4exau7cszieu1bHLYgfx88zn8JA7lijcGTWmCjxljnlqDpfVgwhpZfUsSy9mb2kdmdX2cnSdudkoK6p3Ph9EX6dF8mrb49wVBEEgJCSF4GC79ozOoMNmU1BoCSXUuJdP1vTmoy1zWJdxBwA1q9NRvlvOgJ0RbH7qC04Xdz8J/Fz2p+1k88BK+piieeOqT13qZfXztn/PV+srWjxufCOFyJpMMmOGEH2l42rG5+Pp68eYy6/BpNez6vUXm9efYK/q2/rIP1p9Zmu0BsxfnaTYV86Ae4bSM9oeSizam4aERNTA9gsdZEo5Q29YzPVvvc+goReReXIXP+W+jV7sWqLvXwGn302JiYkcPnyYPXv2cOutt3LNNdeQnt7yLrWxsZHPP/+8Q+9Kd1i6dCl1dXVN/woKCi7Ief5o2Gw20tPT2w3BdZexMy9i/9ZNZBw+1OLx3d/tZOSCUYxeOJrpN09H4UD5XpeRiVjNjt3J565ciTIwgJTrriNm3Nimx4OmT6fHJHt1UEpcBHvSm+W5LVYrRqsCP68Lo8FxlojwyygsdFxP4nyMRg1johKZ0XswOwr3sOzix12yr1MVDYzq5Vj+islqokTXnLfm7B17RpU9/yXBv+PcAFegs1bip3TseWUW1oENXlmRzqPLDrH45e1Me24zr+0/ze2fNb/3i3XOh1esunoUnYSluoPeaC+LTYi9gyKzjAiFlWhrOv5CIZI+gBqjPTR8uGcusbpwZK8W8fNrH6M3dF8fKCMzjXsz/kkSvfjgmq+Rd9AfqitovEJQ2yQqGoqbHtN9Ng2PqmKq/RSYki7u9jmGzlmAf3gkmTu3UpKVCcC9N9yItp891+mz1S2rJvd8eoyQRhs9rkrB06P5+RanHUcuKglJ7fy9rfLxYvx9N3PRnfdjthlRRHe/O/yfFacNFqVSSXx8PIMHD+aZZ56hf//+vPJKyzb333zzDXq9nquv7ljfIiwsDLAnhp5LWVlZ07G2UKlUTZVKZ/+5gdOnTxMQEEBEhPN6GI4giiJTFyyiOP80J48eBuDAqj0kjkhG5alClMtQenRds8URfPolUn3gRNPvhRs2kvV56/BKdVYWkigjbMCAVsd6TJzY9HO/+Bhyi5ovujvT1zE00fGKmq7i6RmNyVzRZS+LXPJlcoJd5+XrRc/ir3bNZ0CjkuOhcCz2rxBbXpBCPZ1LjD1VdwqApICuJ1E7iokagtWO7W9Er0AkYOaYHvz3mkHcc0kKngEevLwqA0uDmQED7OvUNjqvGivT6/C+gN9XBoPd69MnciJXTz/JxAlZGAMW4xmzlCmz9zHi4euJenYss2+6GvMNoZyILqR/UU/Sn13Xrbyq4qJ8btt+B8EE8vbiD/D0cP1FVxBFgiSBCr29L1ntlvvxytpDXWAQh1J9UWtcU4Z+yT//BYLAqjftXhaVQs4TDz+GNjGV3G8/pbahAYPFyue/ZNA3v5FVSZ70iGj5Ny3JzSLINxqZwnFPp05XiyCK+IaHu+R5/Bnptr/OZrNhNLa803j//feZO3cuwcEdy2jHGWKMhAAAR01JREFUxcURFhbGhg3NZXlarZY9e/a0mRfjpmOsVmuHhp6rmDR3PmXFRWSlHSGnvJDQuF+vk7J/Shz1WafR5edz/P33kYUEt1KSNGi1lG7ZSs/Zjgm0hQf6kZFfyup9H2OTzPh1UgbpKsLDFlBc7Hwuy76TWwnyiWr63ZXltw1G5xpk/m/q/5p+D1Q7d8HI19pLO6O8ozoZ2T20hkaQNRCpceyz8caMFI7/ewZvze7LwuRw/j40lpsn9sKqsyAAPQPt5dsGi3PGps5oRGU2Eejn5+QzcByDyYANGxqV3csqiiKzBjzDyPgbWo1N7JXClNsu40R8MWGGQI6c2N9qjCPU1dZw6+pbQIC357yDn+bCeSeDRRXlhhq0+/6Dz6Z3qOmZRMnIJwHw8nHNjZpvSCiRvZOpKS6isaE5PBo1cCheDVpWf5dG5cM7Gbe1glXhchYvaRkClySJiqo8wqLjz1+6Q2pKivANCW0qCXfTGqcMlqVLl7J161by8vJIS0tj6dKlbN68mSuuuKJpTHZ2Nlu3buWGG1p/QACSkpJYsWIFYP/Cu/vuu3nyySdZuXIlaWlpXH311URERDB//vyuP6u/KL6+vq1KyztDq9WyefNmDhw44NS8qsoqykvLiIiMdVlHVUcoL66mvDSf0hMnSP7b3wjv1w9BJsdyxmiWJIlTn39B4jWdq9eeZdzARNbu+ZHhyTOZkDqn8wkuwsurFwZjiVOvX3FVITUN5aTGuabX0VkMZiuNJiteTua+jIoYxd8H/R0vhRe9fJ1Tby3VlyIX5cjFC/sFfbAoD4BoX8cvaJrzvExT4pqNMckKKES0euc8LKcq7Em64S6oEGoPg9GAVbCiljuWuCkIAsnT7J66oGUGp0NDxkYDd313K2ViJW9NeoOI4AtrfIbIvahoKMLrl6epj4jCd8lWtHX20KKXd2uxxq4yaNY8AI6s+QmAGp2eo2s2oU3oi6/Rnleluy6Z6+8cju95n5manEIMFh0RfRwTdmyaV1KEf3jXkuX/KjhlsJSXl3P11VeTmJjI5MmT2bdvH2vWrGHq1KlNYz744AOioqKYNq1tyejMzEzq6ppFqf7v//6PO++8k5tuuomhQ4fS0NDA6tWr3RosXSA4OJjq6tadb9ujoaGBrKwsJElCrXYuM33+lVczeuo0/AJ9qCiudXKnXWPP5qOUl1Qy4v7b6DV9elNCX/jYMRRt2QLAqa++ImzmDGRO9AARBIGBURoUTvdVdQUiOl3b1QdtkZa3k6kDL3H5LtafKOOrffmE+Tr/uSuoLyDMMwyZk72nqhqr8HRQ/K47/HLCfkHzlnW9821KoIbeKUEER3tzz6g4lJ5y8qudk23PrbQbLHEXQEH3LEaTEYtocepvERUTS16YPcyy5ZuVDs+zWqwMWT6Ug7LjvDjkeRJj+zq9X2fxF2WUy2ToAoPQXLMLUa6iR6Jd5yvnuGOqv46QMHwUgqgkfcc+AP75wTp+9JvOlohpbKrQcixMSWLvoDaTiosP2MvJo4Y6V6FZU1LsNlg6wSmD5f333ycvLw+j0Uh5eTnr169vYawAPP300+Tn57ebHS5JEtdee23T74Ig8K9//YvS0lIMBgPr16+nd+/ezj8TNwBO6a0UFxczaNAgxo0b57Rn5iwJfXqQ245qoysxmcxYLRb6tyEa5x0RgaGykswvvsQnMZHAHs73gBk5dBHZ2d1rQ9AVvL37kJXduU5FdnEmP+35mMSogS5XYNUazP/f3pmHV1Ge/f8zc7ac7PtGAiHsOwGUfREERBDUqtW6V9S22lrrUqm/am3r8nZ97aJvq60Laq1LrYgIiICyy04khLAlkH3fTs4+8/tjSCBwkpw1CfB8rutcOWfmmZnn5Dkzc8/93Pf3JtZs5K6p/RnZx3fBtHHJ4zjWcIwGu3fquK00OZqINcX6fDxfkQ1av2YP8v+6IkkSa2+fyM4HZtA32kyf5AhKy3zL5iitq0MFBib6J8vvDU6nE0X2PS5q6kPXczSljP6H4nG7z9efORdVVXnuPU2FeEbcVKaMmunzMX0lv2ILK12VpOhkwu/egs6kxY2kZEzC2RxBTe2GoB2r4ngxxuilWFsWsvXDLRw+paVSFxbbeK/RwnuWjj1RDeUVSEhEpHtvICtuNw2V5cJg6QKh/3uJ0hp7ZLFYOHjwoM91hloxmoy4XF1f4ALly5WbyJncsTiZISKC1GlTSc7J8Wv/er0eSTbgdPpWIDJQUpIXkJa6hIbGfR22cbms7Mpbz8LL7yArJfgZNfllTYzs438g6IBYbSqoVfXWG1RVxe62k2TuPM4tGFRbK8BtJi06OOq1D63N48SROhITfPMO1dY3YDOFEWEMXRad0+FE1fnuKZQkiYQZ/Yl0h/PNzp1dtl++4u+85/yEB1Pu5a+Lg6e10hGn6r7h/nU/INKg57kbV6KPaB+PJDlTkGMOc/LIuoCP9Z//+YgPfnMASTIAbvZ+budbjX34ySAzB5/WHtCVTqTz60pLUFFxWb3PIlNVBUVRkP2om3UpIQyWi4jm5mavp9Ly8/NJT0+nsrKSYcOG+S3dD5xXSj7YVJ+qpvbobgymjn+u2UuWEBOgHs+QwYs5fNh7l3iwSElZTHX1eo/r3G47u3b9Fat7dEhq2wCU1LcQG+5/dteIhBFEGCI4VHOo68anqbPVoaLSJyr0T5QV1goMBC9uZNOhSjDJ/PeOy7pufBbNDY24zKFNWXU5XX4ZLAAjcsZjle24PqvA7uj4ZvvZ+v/w+7q/cmPkYu6b/0N/u+o1Nc1F3LfmdhRU/j7vDZKjzq8BlpKsxZzk5/3Sr2OoqsreNTsp2PENpcejCAu3c8MTY/j+S3NIHqUZpqOGDGT/Pi2jNTvW8xS64lY4fEITPbU3eq9npNMbiIxPoLGqouvGlzDCYLmIOHXqFBkZ3gW9DRgwgGPHjpGenk5BBwqO3qLiubZNsMjfupur71vKno2eb+rBIiwsEqfLGrCgm69IkoRONuN0tp9SUVWVgwffYtiwu4iLiqWmMXCtDE/ERwQmziZJEhanhfcK3sOpeBeI2prS7Ek0LtjU26sIl4MXN3Ln5X3BrvD9Tw/6tJ3T0oQuMipo/fCEy+lC0vln2MqyTIvJToo9nvX/+o/HNl/v3MTPi37NNMNEfnbtMyEzolux2Gu5/7MbqHG6eHn2n8lK8CxKOWScVgVaF1VCVeken4+z6d/r2PpRE5+/VomEi+88s4CUrGRkWSZxjBasHRsbRkK0dq5cMdpz6rHToqWVm3VRRKb6FjMVk5RCQ6UwWDpDGCwXGd5eQEwmE0ajkWPHjmEy+X/D2rp+N0XHT9HSHJoqsBUnyohNTSAqNg6rxfsnFn/J6nclR49+FvLjnEtGxm0UF7/VbtmuXS+TmjqTmJhErpowmDW7/a+j1B2cajrFuOXjOFx7uMu2h2u0Nt0jGlfjtWicNzw0OZtJl6Wzd285W0+dL9/fEZKlmfCo0GpGKS7Fb4MFIO3+HMrDahh1KIOVr37Izw4Utq07ejiPn+Q+ziA5m9/d+Cefamj5g9Nl58HPruW41cYfp/+SkWkdx8mYI1JI0v8CgPrqEz4dp6GqltwNpwOoVSeTrk0kPPqMB6Wx0QFAXGwYKUmat6WsyvPDgyk6nPiINJKT+vtszMUkp9BQ2bHCu0AYLBcVjfXeXzwBMjMzGT58OAMH+qYXoCgKBbmFbF67i7279zNj7mQiooJf/0JRFPK37mbkTC2Fd/DY8eRu3xr045xNXFwGVqtv/8dgoNdHoShnjD6n04bT1UxysjY2YUYDLi+CIX0lr7SRzLjAx+7nk37e9v6GT27osv3xRk0SflBs6A0Wp1RLcnhw9Yn+unAkkknHM+u6Ns5A00gqbzZijgith0VxKcgG/y/ryanpDPzJDHL7F7F0wAD+WVNPUVUzFSXF/GDTg8RI0bx0/d8xG0Nb70ZRFJatu4ndDbX8Yvz3mJrVtYptvUXzwEbF+pZa/cmL61AJY9EPB3HLLy5j/IL2kgHFp7Tg6rTkcKLjzQzS63l9p2d1dUtlDfWWCjIGnV+upis0g0V4WDpDGCwXC5WHiCnZ6NMmCQkJXT4FKIqCpbmZqvJyio4dpaK0hA2rtrN/90GcbhcmQxjRccFPTVUUhc3/XsOYK88ICKb1y6KmvLSTrYJDqN3cHREfP52KytUUF+/lQO5yLpvQPj4gJTaCogrv09a7wuVWOFlrITsp8FIONw25idw7c7l9+O2AlrLcGaeatAt+UkRog27rrS2gs9AnKrjqoQlhBsaNSubwkVoKarueqvvoSCWbHAN4Z3sLjS2h8UYCqG4VnT6wwM3Y6Hjm3XNz2+eJB77h/s++h13n4OWFfycuKnRZTq28uPUB1lQc50fDFrJ4xANebWNp0aboUjK8jy06sH4vDdWJZI+BfiMyiU/z8N1UFRcqRoMOWZaZn5VAkdPpceo4/7ONKCiMuNazrEdnxCSn0tJQj9Meut/HhY6Q1LsYKN4NqkLC2KuoLviaxMGXe7WZ02Fn89rVGAznB1y23rIlScJoMmEON2MOj+Djj9ew+KabSc3QYgKuWDAp4O4rLjef/OlNrvnxnciyjNPuZPO7q5iwcCZRibHt2qb3H8CJ/Dz6D/X9CcZboqL6UF19nMTE84P7Qkl4+Ejy9/4/0lIXM37cveetvzJnEO9s3M/tKcG5YXx1pIpZQ4JbVTsnOYflectpdjZ3qnxb2VKJQTacJ+8fbA5WaHWismKDX67iN3OGcuWecn76RT4f3Ti+07avfK2l/je49Ex9di0vLB7EzNHZRJqDU9yxDRcBGywAOr0ek2LFLpuJrP8XxwxFXD/gAfom+y4Z4Cvv7f8f/nlsM9/KGMXSy7tO+W/FGKcZyU6HDWNY1w9RTruTLR+cQKeD+fct6bCdtcEB8pkHmYMVTQwLM3mU7ohK0c6nusISojJ8O7dikjTF8MaqShIygieCdzEhDJYLGXsTHN8IUemQeRlJwOH173htsOzYuJ5Js+diDvfeQzKqoLLNWAkUVVHYt247zXUNDJ44li3/XsPw6ePI3bCDKd++ClPY+RfzwWNy2PjfD0JqsGRmTubQof92q8Fy7Ng2GpvymDD+WQwGz+52nU4OWnDzgXVvk6VzExY5HPqMhyB5lUYnamJZB6oO0C+645tbna2OSENoinSeTUF1MQBDE4J/AxgYF05GVgzfHKnF4VYw6jw7rC0ON4eP1DJyVDJKUQl5jQYe+Og44zbm88P5o+ibHEtWShy6YKS0KqD3oX5NZxjVeuyYiTRMwM16/nPsrzx8+V3EGttnIlqcTo40ljI2IXBjZn3Bazy/bzlT4lN56orlXm9XVrjtTL+9MFYA1vxtDW53DHPuTOvQyKs4VY18wsJ+k4u68iriUpMw6GSqWuzYrE7CzO0N7j7jhsNrUF1wnL7TfJNYiE7WDJaGqgphsHSAmBK6EGkohvxVcHI7DFkIGWee7nR6A06rd8GpiqL4ZKxA8KZL8rft56t3VtJv5BCmf3sBw6bmMGz6ZRz5+gAzb7vGo7HSSlhYGNVloZsa0utNqGrotWXgdDrl3jcxmyFn7D0dGiutDEqP55sT/on8ARz/ZjubXltGTNZYsq+4A2IyoWA1FKzVDOAAOVqvBQZ3VR/I3dRIghzaeA6A4/UlAIxICSzlvSOuH5OOs9HBnNe2d9jmL7uLwKnwg8lZfPLTxfxkqjYNtqfOyN3vHmbOn3Yw4MnVvLNhH4dPVQbUH9ktYwiSzouEylC5kH2Lb+fO8c8C8OdDq3ApCs1OLRB1a8UhJr0zjttXLqKgIbCA0R2F/+Gn2//AkMhoXrzqv8g+qPUe2P8oANlpL3bRUqOisIzCg3riUhoYNqXjh5+85V+hB3aaXLz7rhYj88DVQyl1u/nF/319XntVAVnScXjPFq/73kpkfDyyTi/iWDpBeFh6OxV5UJkHOgO4nRCVCqYoyJoKYR6EsPQmdIqjy9067HYUP4I4wyLCaa5rIjLOv5uNqqpsfX81qQOzmXnb4nbrEjMSScyY28GWZ7h83tVsWvERM68NvkR9d+F2Ozl1agvV1XkMGLCEuDjv9EgmD8/izXV7GNnfv5iM+mO7mHbns0it7uyoFBiyANwuOLkVHBaI6w/JQ0FRoAPFak8UNxXz8MaHGZc8rs3T4omy4sNENbrIqgp91ldJUxm4w4k1h8ab85OJ/dlyvIbduRU43QoGD16WD/YUY4o1cXW2Zqj86JrLaXZs5+8728f5/GxNCawp4aYR0fzm9uk+90VVVWRF9kntust9nv77k+GL+Hf+27y372ne2/c0KjrSk+ZQ03RGEiHa6H8sW27pOh7a9DR9wsy8svATwnzwvtmtjeijNGMpc5B3ldZXvbQZiXAW/XB2p+2Kj9pJD6ugRY7hf8ojuV9RGTM6hccOZvLc/lPM+OwIVy84EzgemZrAmFFz2XdgDW6Xy6dChrKsIzopSRgsnSA8LL2dukIYdQMMXwLZs0BnhLQxno0VIHnAWHavehPF0bli696tmxg/dYbP3Rk8aTRHvj7g83Ztx129lSFTxjNg3BC/9yHLMnqjEWuLb7VcfMFgiKSlJXgBrq3U1Bxlz97XOHDgLczmVCZM+IHXxkogVJefYseHfyRtzJVnjJWz0emh/wzNeNEZYO/bkPse1HvOhjgXVVV5autTWF1Wfjvzt53Wsjnw4i+pjYKs5NCX4Ki0VmAgtEGik7LiQYF91ecbYMfrW6gsbmL6yPYVzR9eNI77xsdQ8Kv5FL6wkJuHnvEovnewkQ37fE9hd7lcSEhBM1gk1DaDRZZlXp/zO1QMqOgYkLaE0qr12G0lRERdhiqFkRLm30PM0artfH/9T4gzGPjnwo+ICvNtyrm5XvO2Rkm3oNd3LZy5+7OdtDQmMHSSmZik2A7bVew9RqMxhSETkphp1q41jtOq3ku/PZLRJiPLd2qxSfbCUrb+9H8o+WILxScPkRzb36+qyzHJqTQKg6VDhMHSm6k9DvqzLj4RiZDZeXxKdEpfxiy6l6ObP2pbpmX6NFFfqz3RnTxSgMulEOVHmfvwqHDsPkhOn4210YLDbifRx2A0T0yYPZc9GwKX4e6IrKyZFBVtCtr+Kipy2bv3NWrrTjAu525ycu4mJeX8ukjeMG5AGlsPFnrdvq7iJEV71nL5dQ+RluXFMRMGQM6tEJ2u/Qa9YHvZdnaW7+S5ac+RHO55fOvrytj8zu9JXLsHq0miX5+OSy0Ei3pHFRG60BUbLG6y8crGY6CT6ONBgO+3W7X/32NT2sdDmU1GfnbjNIyn402W3TCVuZky/106FoCffpjrc18cDs2zGmYMXuHYs0OmRsRlsu/2nay6YQMfz3uGtxevZOW3PqdPVCayPs6v6eLiuoPc9/n9GGWZfyx4l/gI343344ffBmD4uO932dZus7NjRTF6Qz1X3DGr07b5n+5H77Iy5PpJDDc5kFQFe5OWESbLMmMTIym2ObEXV1H54tdsK9zEu39/nqr6IsbOWODz9wAhHtcVwmDpzVQfhYHeuTjPxmiOICw2hYaTWppf7tc7+Pc/XuGz99/FarFwLP8QU+f6nnYXKN98uYtx86cGZV+msDBcLqdXhdr8wWyOwekMXFm2uORr9u59jZaWBnJy7mbQwK6nvLpiZP80jpV7rxVzYs8XJAye7Nmz0hnhCRDZtXFpcVp4/KvHGRw3mIXZCz22yf9qBUXTZpPwy1epOf0gnpYywLf++IHFXUOcMXSp08tzS3A0OHjkWyNIjzzfYNmQW05Cn0iGxHcuyR8TaeaVBxYwdmAfbh4WRqXTyF1/WU1Ng/fTZrbT6bBhpuAYLJKknle/XC/r6BuhlTkYE9eHrMgE6mzVmIy+G4UVjcf47urbcCoqr87/J+kx/nncaptWAqDzwruy+qW1KEoUs+8YgdxBkHQrxUVOknXVyBFm3qk0sFhXTUzCGc92tFlHk6JQ9Zd8JFMCRkXbn07SM+hq36f0QAu8bagS4nEdIQyW3ozk//D0HTeH4rydoKrU11bz3Yd+wtU33cJn779L5oDAbhQGUxjWZt9v5qqiYAxiGufoKdPZu2lj0PYXLJwuO0VFm9i79zVURUdOzt307z8t6Mfx1ljThUWQNdCPrKrYvtBQ0mWzZZuWUW+v55EJjyB7+M1+/qfHUe/7KZZwmdzZWTTerBnL6X2G+d4nH3FJdUEXjTubuf0TUSX4YG/Jeboca09UY6uzc12Ob0Jmv751FgAbi91c/vwG3ljnndR8k1ULmjaHBUfUTYLzDBZPNNuriTT5piRcYynh7lU30ex28fe5fyU7YZxffQRQsaG4JMwRnRtNZUdLOHXYSEJ6E4Mu63xKuqm4ino5gcxhsezbeoAGYwTfmtbeoEpSaqlHxeF2oNpLSJFlEoxm7v3Ta5ji/IuZiklOwW6xYOsGVe8LEWGw9GbcXQfPdka/cbPZueot4hK0EzkmLp7r77qHgcNHBrTfQRNGcuTrb3zfUJJwuVwBHfts4pKSsdTXB21/5yLrTDgcvhlmBw9+zL69r2A0JpCTczeZmZ3rc/jLzFFZfLHvWJftWhprcSh+xtaborR4FltDh01UVWXDqQ0A1Npqcbqdbcvdipvi/F1kvPQJTUkRjFy7npte+gyLGSQVUpNCq+lRY2kCXQsZUaEzWCakxZCYGUXRkTpqrO3rKP1l2wkwyDw0wbfvqdfrKPjVfJbfOhQ3Mk+vK2P8//sPT729kb99uoPm01OyiqLgcJ45n5pt2k0u3BQ8IUdvDBa7o5bYMO8NlrqWMu769FrqnA5evuL3DEvxzxvRiiHCgdvadSXuz/5vC5Lk5JofzumybW1eEUgy6ZcNoLJWMwQ37D/Z/rg6bbxTfj6JPr+/ibikFJrsViKS/S+0GdOa2iymhTwiDJbeSl0RxAV2QY9M7kvpyWISkoN7wY5OiqbFj0J8/UYOIn/L3qD2JWvYcPL3+V7szBv69Z1BYeFXXrfPP/wpx44Vk5PzPdLSQqcTA9A3OY6K+s7HYP+6t8nfvorxszoWxeqS/jOgsPMUzZ9P+jl9IvuwbNMybvnHHD759b18dcU4CoaPpOna23HoYNjKz4iO0y7GFc3lxNp0IReN+6ZCu8H0jw1dUHOzw0VNSTP9B8SRdFYMi93lJvdwDQMHxhFt8t1gNBr0TB81gD8tycIsudBJ8Gauhec3VTPj2VUsX7eHRS98zJCfr2ZnvvY9LVbt9xAsg8UbD4uqqrhddSSZvZt2a7CWc/fKJVTabfx51rOM6RP41LTbLgOdFyz9esV2rM2JjJgWSWR81/WcbPVa0oI5IYqpszQ9ldcaolEUBWuThff/uJwXDmpt9KdF5BKysnFI0Fxd5fd3aROPEwaLR4TB0lspz4WUwIMShyWH06d/CATQfNQvqywq5+CmXQwYPyqo3eg3ZBgVRb4VO/OWqKgkbDbvYkWOHv0Mxe1m+vTvsGdPaAyoc9HrZGwOz9WRXU4nyDrGzbsN2V9BstrjsP9dkDu+4UqSxE1DbmL1t1bz0eKPuHdTGAPf2kxy+Rl58ap+0UTFnLmhVThqSXIFLzC0IwpqtAynYUmhE+E61WQDt8qcEe2zgP627xSq3c19EwN76Fg8eQSHnl/C17+6nr3/bw6v3zyIcD38fF0ZeY1GVCRufn0/n+85SkmN9luNDFIKt4RKVzqFNbZGJNVOWkTXsU5NtiruWbmYEpuVF2c8w4TMxV1u0xUORzOSTkWndqxkbLfY2LWqHIOxjhnf8S4z0tagZQWZk2KJiYvm9emaB+e6x99i7DNreawinmRbAz9Lb8Fk1M6PpFFaKn/l7p1+fx9zdAx6k0kUQewAYbD0Roq2QpJ/GSRn03wyj5jMEBWXk0BVurZaHDYbWz/8nNKCE8y6/RrMkcG/UemNJlyOwKbPAqWpuYrhwxcTFxdHc3P3zD/PGzeQ1bsKPK7T6XQoXoxPh7TUQs1xGHsLDPbuKTiLBPruLiHqxw8gffA3olf+i5OXZTL65TfbtauikWSpaxd+oJw4LRo3NNm3GBJfGBwbjqSX+Lq4vt3yf+0qRh9l4IbBKZ439IO4yDBmjR3MV08t4QfjI+lrdvLYlFjSTA7ufe8wP/nMzVF3ApFhwTJYun4uyW/QUor7Rnb+PZtt1SxduYgTVit/nP4Uk/pdH5Q+bl71A2S9SmxUxzFiq15ag6JGcOXdYzzK6XvC3mxHUt0YY7X/5YwFU5hkLQGbjXukU3ww2snnf13KfT+6sW2b5MsmgqpS9Y3vGV6tSJKkZQpVCQ+LJ4RwXG/EZYOYwC6yzroyDv337+Tc93yQOtWehD5JlJ8oJ21AxwJmuRt20lRTz7irpxMWHron6swhwzn+zX4Gj/O+6FkwUVUF3VleiPDwcOrr64n1I23cFxKiI2iyejbULE11GCIC0B8p2e1zhpra0gKKQkRCChkjtSfZPsvXnteuSm+jvyl0qcatlDaVgzuS6CDGdJyLTieTnh7FoRN1qKqKJEmUNNkoO9nA9Mv7eH2D9AVZlnn8xpk8fvrz4strWPTiRhrUMDY7s4kI6zwjyRdUOk9VPtakeQIGdFJc0mKvYemnizja0sLvpz3JtP43dtjWF5yOFtToLSjNmVy2eJnHNsX5Jyk5GkZSpoXsHO+r0tubHejdUpt3UpZl3n3xvk63McXHE6GolB/J9/5LeEBUbe4Y4WHpjbhdAWUIARRvWcG47/8WfZAyBs6l3+ghlBzyLG5lb7Hy5dsrSeiTwpQb5obUWAHIyMqissx/ufrOcDgcHDv2OcXFO3G5nNhs9Rw69BGbNv2KHTv+yoEDb3Mg9y2Sks+UpJ8wYQJ79wY3VqcjzEY9Dc3niwRWlxURnRDA070+TDOcfaDh01UAuKurO2yj2O3UhLtJjQxu9WRPVForMOJ/AKS3jMmKw1ln5+Dpqs2/3XYcVYFHp4RgKtYDmakJbHtqITdO0oHkIMIYHINFE47r3MdS1KzdWAdHe46Ts9hruHflQgosFn439WfMyr7ZYzt/OLxX89x1VEVDVVXW/H07kuRg0YO+yQnYrS4Miu96U/3T+3G0rop/3XoDuf/4G45m38tdxCSn0lgVWImGixXhYemNJA6C+iLtrx+oqoriVtAZQhfUaDQZcXvI+LFZbGz+9yqm37IIU7Ar0XaALAevKGArNpuNnTt3IssDMZujaW4u5eDBf+N01pKVdQ0DBsxHkiSPtX/0en3Q+9MRCy4bwsod+Xx7Znsp/May44yeFUDpgsRBUH0E0jqW2D+b8l/9mrq3NQGv+Lvu6rBdffFxrGESaXGhL+5W76wiQudbuq2vON0Kq3eVIBll0sK13/va/WXEpkYwJrnr4M5gEW4Ow6G4kWQnZn3w0prpwsNSaqlAkSNIM59vJFkdDdz36TXkWyz8dsoTXDHglqD0q5WSmj+gD4OE+Ks9rt/2n63YWhIZPctARKxvRpzDpmDAc3xYZ8z937+S+NKf2PvlOtau/YTtqz/hu299iM7k/bUwJlmbEmr12AnOIAyW3kjtcUgb6/fm1blbSBrs3Y0mIM45lxqq6tj5yXpm3roIgw8naFC6Imk6Lz6Lo52F0+lk9+7dtLS0aEqWY8eeNa3j2/8zMzOTI0eOMGhQiGKIThMRZmyTC1dcTvJ3fMawyYtQJQmH0+m/THtTOXTi5j8bd2Njm7GS/ckKZHPHN8zSYs1dnpbivXveX6zuGvpFhPY8eK+gHKXFxRPfHkWC2cDm4jpaamzcelVox90TLQ4XSE7CvBBQ8wqp6xiWamsVOg8qt3ZXC/d/upC8pkZ+M/kx5gy8NTh9OgunRY+sUxg/+/Hz1lmbLOz9vAZjmIOpN/keL2N3qBhk30UpZVlm/IM/ZvyDP+bIh++x4r032f3n/+XyR3/q9T6ik1Nw2e20NNQTERt6D+GFhJgS6g24HHBkHRz+DA68r00HdSGC1BlRmYNoriwOYgc74KyrWfmJk+Ru2MXsu67rdmMFILX/QIry8/za1ul0sm7dOrZs2cLQoUOZPXs2s2bNCigGZdCgQZw65V0dnkCJjwyjrKaB/K/eJ6rvaHI3/hvF2ogxEA9bZIrm5fMCx/Ez8v22w56DgFspq9K0Y/pkdI9oXEp48IJePfHpYc11f+dILXX6j1uPg17ikUn9Q3pcT1gdLmTZ7VG8zx8k6DJLqM5ajdHQ/lqlKAqPrLmeA431PD/xR8wdfGdQ+nM2h3a9hTnBjtvuOT5p5V8+R1XNzLt3gl9xRE6XjEEfmJd00LduIiMsgt3bv8TV4r0MRGtqs4hjOR9hsPQkqgqFm+HoujOF50bfCAOuCGi3DYWHiAgkfsFLVFRUVaX0SBGF+08w9cYrQxJk6A3ZQ4dRcsK7ujdn09TUxJo1a5g2bVrARsq5SEEWyuuIeeMH88X+41htNjIzsxg9+xZyFtytuZ38xRgOaufaFq2Yx44l4d6lAOjjO38iLK07haRCSlym/33zgvKmetDZyIgObazMldnalNP/bD+Oy62w91AVWf1jiQ8LrcaMJ6xON7IfXoGO8CZLqNleTYSpfXD3C1/dzZfVJTw+6iauGtp5oKq/VNZ8CMBlE947b92RnYepKIwgtX8L/UZk+bV/h1vGaAh8Wnf6fQ/SIkvs/N/fe71NbKr2m60r61pl+lJDGCw9RfVRyPtYS18eenX7IocBYK0opKU4j5iRs4Kyv86ISYqn6JtjFO4/wqRrZ/bofKssyyg+xI04nU7q6urYtGkTCxYsICws+IHBOTk57Nq1K+j7PReDXkth1huDGGBdngup3mvmuOs1NVzzhAmdtquwlBFr12HQhfaGfrBSE1PLDqFoHMB3R2cQmWzmPzuL+WduCYrVzV2Xh1bBtyNsLjc6nXdGpjdIXYbcQrOthNraDfzpoFbP5/Vd/49/Fe3h9qzL+c64p4LWl3NxGbSK8XGp7acWHVY7617LQ5abuOZHV/m9f6eqx2QK/PaYPnU6/SJi2LNnOy1eCsoZw8zEpqZRWej7A9jFjjBYupvyb7SpH5cNRlyrVWAOEqVb/kv57i/IWtR11dJgkDliADv+s4ZJ18/uluN5Q2fBroqisHv3btavX8/69evJy8tj/vz56PwVVuuC2NhYWlpaQrLvc+mbFENFk39VtD0SnQ6NpV41VVWVvE3F2I3RuOs6F9qrdNSS5ApN5trZFFRr03FDk0LryQGYMCiRxsoW3vi6CF2EnjtGhD4DyhN2p4I+iAaLS5W6CLmFG0c+BLo4Xtm1jFFvjOL3Bz9mTlJfHp3+StD6cTYtVSc5+Yc19N3+c2SnGfkcUcOP/3ctbncEc+4ciinc/6lpJ0aMYcG5Pc544GEcksTr378be0O9V9sk9x9IxfEjQTn+xYQwWLoLax3krdDSRYcsgNTA6vmcjaqqHFnxf0QkZ9D/6nu6zdMRGRtFfB9jj00DnUtSRialx8+vr+Nyufjiiy/YuHEjKSkpzJ49m/nz5zN16tSQGSutREZGUltbG9JjAMwY1Z9UteN0Yp+J6w+13ikIn9hXzfA7r8RqTmL/dx/rtG0lTSRJoc+eKWooRVUlhiWH3mC56bSBUnK8gfFDk3rsfHC4VPS64GSnNTitVJPCiIjOz49f5NzM9ps3MK3/7QD0D4/gN/M+DMn/wF5fS+3vi5ArwzE3DiBpY3vtlYIdh6koDCd9gIUhk/wvjaGqKi5dGKaI4Hi9kydcxryF12GV4dSGL7zaps/goZQfO9Ljgpi9jd5xp7nYKTsARdtg2DWQGPzsiBNr3qTPmMnEDOrcHR8KIuOiuv2YHTFw5GgKPQTeVldXo9frmT17NhkZoVM99cS4cePYv38/AMeOrWPHjr9SXe1dMKsvyLJMfDAzCiTJ6xgYWSeRdvd3GPy9G7C3dB6zU623kuxjZV9/KGkqR1KiCDeEPgB8ZEw4kRHaFJej2jftmmDicKkYgmSwvHZ8L6ps4s6+g7tsW958kitd7/NEv3SWL16LMVhZSufQWHgIAPUK7QEgVu2Ls0XzKrqdLtYvz0OW61n0o4UBHcdpc6FKOkwRwZu2HHbrnZhdCrmrP/WqfcbwUbidTsqPdh7EfqkhDJZQoqqQ+4F24R96dWBBkB1Q/OWHxGVmE95vTND3faGh1+s9xrGkpqZ2my7KuZytyXLkyD+RdeFUVoYmrkXSBVuloOvfq6XBTniM9iSqNDUih3esKqtYrdREKKR1g2hclbUCUzeIxm09Ws2s322k2aJpduwrquux35rTDQZ9cK4xKyoqMLlrmN1F+nlZ4wkK91wJkswVE14jxhQ675kxKhaAsNQzWUmG09M+n/9zAy5nNNNuyMIYFphnxFrdqB0nOnhTl7LBQP+UdEqqvcv8SezbD1N4BMWHvglaHy4GhMESSoq2atk/PgQv+kLl7rWERUYQNyKw8uzdQdX2j3DbuqfGjid6MiA4OtrJik++T3b2zYSFmRk40LPQVSAobrcX5oWPmCK1mkKdIOskFLd2g3Y3NnWqwVJ/6jgtYRKp8aEPSm10VhEZYtG4FruLW1/dgarCv++f1LZ89Tc9U7jO6ZIwBsFgcSluChzxjAxr7nRqp9nRQt4urXzDkCHPkx7ZcQHCYKCL0H5b9n+1Nwgriyo5tsdNdEIVo+eMD/g4thrNYDHFBKekg9tmZfUPv0deTTluL6vGyrKOPkOHU3LYP6mGixVhsASK2wnH1kP+KrBpmRI0V8Hh1WBvgsiuq5j6i6WskMTx/kfCBwMJTbCtK5TVP6Nq9Z9D3p/Y5BQqi8/XP1G86GOoUNVC9PpaBg9ejMtpxRjMbJ7TlO/6mLghk4O704zLobjzyrPmSCOWBjuN1VbcjU20VNbjbvIsR15aqonGpacMCG4/PdCi1BJvCt25B7QJ1w9JjWJi/wR+MEv7Xt9/ew9l9eeXSwg1LreEKQgGy3+LD+LSxfCttM4zrFbk/antfWJMaB7KziYyNRuXUTMm6qI0o9Be18ynf9kEOFn8I9/k9zvCWqv9fs1xgRsstUcKeP3Ob3OwsphYSc+Cm273etvk/gOoClEl+gsVYbAESu77kHEZDL4KKvLgyOdQfxIGzYUhPWtMdAfhcfFeVRYNu+U1bMUHQ96foTnjOJq7v+2z1WolNzeXpKSkkB+7I0ymSK5e8G+KiraQlnZ5QPsqWf8qVbnr2y2rObwdWXFjTu063sAnZBncXQf9DchJpqnWhjL/Jtw6IzXvvOuxXVmllqaZnuF/QKQ3KIqCS64jJcJzfZtgYbFrmidDUrU4rkfmDm6b9Z32mw3YncHTRPEGt1vGZAj8kv6v4hPIioXvZHU+zTxn0N1t7zd/fR0fHHyF13c8itPtu6S9t6iDNIMlrkmb5t2z/gAtTXEMnxZObGpwCmra6jSRt7D4wKe3Dn/wLvUozF9wHfe8+18G3+R9eYLYlDQs9XXUl4emTtqFiDBY/MVpg2/+A9mzwBSlXdz7TdYMlYzxIIc2+8RRcQxDXM+kT55N6oCBlB/tOv1O7TuY2rrdNB/r/Ik9UAwGYztvypdffonL5WL48NDeJDtHO80qq/JJTR3h915q8rcghUXjrjvJyQ2va/vcvZLmz54hOSdExrGXdWn6DI7DEZfB4cHfwVHsWfCqrF7TRkmNCa02SmljPZJsJzPEonG//lQLAp03XDOMdDqZzY9roo9uRWXBnzZ1azyLW9ERpg/8urO3xUR/XRVhXWjlpESkcMUsLSg0Ti0jruIFMi0f8dWXQymzhKZ4X79bv43+as0gcgF71lZjDKth5q2BiW2eja1B846ZEwM3WBSXG0lVGXnXPT5va47Wjr9/3WcB9+NiQRgs/nD0C8j7LwxbrOlV9ACVBzaTnBO8k9RfEjP6UV/R9ROArNOTN2AyTcf2dEOvoL6+njVr1jBy5EhycnJ6NPU6OiaTnbteorAwMPeureIo6VNuInXGXWBv5OSKF1BVN31/9ClyWM9na0XGm8gqXosp2XPsSEVzBbG2bhCNq9KysLLjQmsY7S7S4nsWjj5jGPWJC+edpRMBOF5lYdCT3XezURQdZmNgBsvX1UW06FJZkORdwLIs6xhx+ZdU096blbdjckiMNVmWSZ0xG+PiME6o9SBFsuB7E4N6ftub7ciKE2N8TOA7C2AqOmvMOAD0xu4vddJbEQaLrxz8COKyYNRNEPSsDO9xOuwYwyN77PityDpdlwVHGg5tofHNx5heUUP00NAHCMcmJvHJK39l7ty53Z7G7ImsftMwGqKJiooNqL6QcparPXP+D0m/6mFSJiwJqOBj13h/00nJimHAqdVY9+71uL7CWUOSKziBjJ1x5LRo3LCk0FaEbnF4nvKZMjCRaQM1o82lqHx5ODTehnNRFB3mACu0/7PwIKgulmbneL1NamQG3569hTmzjzFn9hkdpC9PfRlQXzojecplhM3Uzoe49OAGV9stDvSuFqQg1ERTFQXJT7tNlnVkj7uMsiP5AffjYkEYLN5SdRgK1kJ6DiQM0KaABBodZOA4rRZKV/4vlqPb6XP3S8TM+wn2Ou/UUwNh5MTJZA8f1WsE7QAsLRUMGXwZR474p16puF1IZ8WTSJLUPU9ekuTTU6LqcGDZutVjIHYVTSTLoReNO9FQjKrKDE0MrYdFUUHXQYzrW0sn8utrNXHIj/aGviaMoqigGgg3BvYQtbnBRTJlpJoDGKfslwDYczS0QfYn82oAsFm8LyzoDfYWFwbFEZTMQm8SEjojbdBQyo8W9FiqfG+j51wEFxKKohks/WeAObane4PqcoIU2hgZX/B0UroddipX/pb0JY8jGcNRFYWWo1+TvqRzJVQAm6WZ6qJC9Ebj6ZcJndGA3mBEbzCiMxg0z04HVJWWYOsmSXxvmTL5EQBOnFiP2+32WWG3YtcnxI8NTBDLLyJToLkCvIwHMQ0fhj3vEKU/fYKoK68kev68tnXVBhvju0E0rrS5FNkdhylAb0NXmA0yDZ0kA902qR+yBFePCn2sWbNDE1CLMPr/nU9ZaqmW0rkhtiagvszJms8Xx2EM+wLaT2eUFRVRc0zTiIlPDe5vymFzoydICrNeFhDtiMS+WdhbLFjq64iMi+96g4scYbB4w/H1kD0TwoIwpxkEGg5tIWbguJ7uRhsqKoqitHk0FKeN8o9fIHXRT5CM2hRAzfb3iZmwxKv9lRYcInP4KFwOh/ZyOrA1N+Ny2HE7nbidLlTFszu+6ORJFJeTqYu8O1Z3M2bMGPbs2cNll13m03aKy44hIvRCaOehN4PL+xTd5Iceouqll2j85BMsmzcTecUsZKMRd7OFmnCF1KjQx3xV2yoIk4KTMdIZ5Y2akaCqaodP49+Z2D2FEOusmpch0uS/aNorx/eBFM/SrMDLhlRLaSSqZZQ1l5MWGfxsLf3pSsqTbw6OJ+RsHHYVY5CqXquKEpA+UmyK9r+rLy8VBgvCYOkapxXK9p+Zypd1oDOC3gQ6g/Ze1mtxHKrSwcvDusRBfmu01J0sIGvB0uB9xwDJGjOOozu3MXjiVFS3m5LXHyTt1j+iM58OBFVVnDUlJE75ttf7NJjCMJh8k/g+efIkOdmDiI4O/bSDvyQkJLRJ9fuEy44hvAe+V3Q6lO6F+GyvmkfOnEnkzJk0fvYZJY89TsWvnyXtl8/QWHIci1kiLS70tX0anJVE60NvGEkS9Ik196goYSt1LZrBEhVA3MXa6gYi3Q7Gxo8NuD8tSfdD5S/4tOAtlo57NOD9nUtjrRanFJcc/Bg1h0vCqAtSSrqieiMY3SExrQZLRTkZw4JXf+5CRRgsXWEww/RHznx2uzRtinYvJ0iy55esO12X5Zzl5d9AuVYi3au4xrN+9MbwCIoOnAlsVM9v0ime2ne2zEMXzmuvuN2c2LcbXUsF6Tkz0Jfu0BpJoCpumqMGUbhv93nbevrqUQm+a6bY7XYaGhpITU1t5+3pjURGRlJXV0dcnPceE9lgxlJ9iojE0N/w2+GygcH32jDRCxZg2bqVlt3amJcUHwYgLWVQULvnCbtaTWKY90Gj/uB2K6iqpnbbG2iwaV6wKD9l6VucDoqUFGZEBKdQ510jbmN95S9IqH8bCL7BYjTFAZW4XcGNXwFwuGUiDcGJGVEDnBIyGE1ExicILZbTCIPFV3T609lBAWY7ZPo2JXA2fYJfPzGkSMCgIGuanXcMSSI+Pp6ysjJcLpdHZVuDwUBkZCRRUVGYgpAB4C/jx4/nq6++4oorvE9LT510A6WblhMx884Q9swDLpvXWixno9hsNH2+jrDhwyl/9jlORlRBHPTJGBqCTp7B7rKj6BpDLhNfWKPdKN29JBiy0a4VXYwJ809FeXnhHlQ5nNsygzPt2Op1isKz6nGgVJ4qAswo7uB7t5yKHmN4kB54lMB/H7GpaV5JR1wKCINFcFFgNBrp06fzrBCHw0FzczPl5eU4zinb3nqB7SgaX5IkZFnGbDZjNpsJDw/HaPTvaVan0/kc9R/a1OVOcFq16U8fcRw/jru+HsvWrVi2bqVoQhjMhZQQ6xYV1BQDkBUT2nT2G/5vGwCLx4Q2E8lbWj0s/hos/ykrw+COZ2F6cGQHaq1VAFQbgi/YqChutr+nfc+kPsGPEXJKRkymIJ1vQTBoY1PShUT/aYTBIrhkMBqNxMfHEx/vX/Cay+XCarVis9koLS2lsbGR8HOqE59riOh0ujYjx2w2YzQakSSJgQMHcvDgQUaMOKN8qygKTqcTu92OTqcjLCysfTZRT9RDctn9yoyTo9oL2TUOTCHGXo5RF1gl3a44WFkIwOCE0E6d1bVoGiC/uKYnFZTPUFBTCESh0/n+G1EUhTxHDENN9UGbSo00ap4ad9gwGh0tRBuDp7/TWKfp2gybU0Zc8uyg7RdAVVRckgmjOUi3RsVNQEEsaIG3R7/eGpz+XOAIg0Ug8BK9Xk9UVBRRUVFe1yZyuVzYbDZaWlpoaGjA6dRudKqq0tjY2E6XRZIkjEYjJpMJt9tNeXl5OwMo0miEI+s4awOISIKoVAhPDI02kMsKet+zPIyZmWSv+pSaV17FsnUr1SYHyd0gGnfsdDDmiJTQZee43ZpRoJMldLreEStV3lwHRBHjY6A6wOqyfJy6eK5LjQhaf4ynRTVTmz5g5+YPKIm6kTsueyEo+7Y0aNNMh79MJCr8BDq9DJJ2/kjSGW+pJAOcXiafXta6Xjr3vbbe7VJAklAO59Lw6aftjusxuPrcZed8dtXUoACHt2328E3O976oqqqd82f9bayuxGZpxtrchDmy5xWtexJhsAgEIUSv1xMZGUlk5PmqxIMG+RiAOvCc4CXFDS010FQG5bkdu58lwBQDxggwhoMhQnuvD+vayHHZtXZ+0LxhAw0ffYRpyBAqlJMciXCypnANOkmHLMln/so69JIenaxDJ+m0KsiqiqIqbe9V2n9ufQ+0rVdVlQM1u1GcUXxTbOFgSQu0tdH6pLZ7r56zvGv3vSRJVDdr6cxuRWXF/lJkCXSShCxLp/+CLEmaQSNJSJKEiorDpWB1uLE63bQ43NicbpxutX0/VO19a0+092ctU1WP68rKNVXfD46+wydFOtyKG5fqwqVoL7fqRlEVFFVp915RFfY4B4J5Lp81xrFx31Hte572Ckh4uCefvV464z9o+3t62ShyGIuWHNCn6X2+WP8+iYlzkCQ9smQAScJmLcZqKyEycgg6XQSSJCOhJSZIyEjSmfdI0um/OuIGOag/PpNvvizB7dICoDn7f6eoZ8ZUpd36LsdYVdAX7KX0kRVdN+5qXzERqFmprPzfwIw1Q5gZ1d29xTR7I5J6EUjoNTY2EhMTQ0NDQ69OaRUIegRFAXsDOFrA2QIOi/bXaeW8p7xzrwYuGwy52i/vTelPn6Dh448B+N11Ml8P7R5vhKt5MNZT3+2WY/mLLIHZoMOg1/4nmmEgnWUgSO2NAUkzElqXtXkRTjdwKk6a1RP0H/opRr0BvaRHL2svnaRrMwZlSW57tX6uJoWqsCn0jdKm0c41iM5e1rq8ddm569sZW4Db7cRiPc5DtgdxhY8lNTwRVXGgqE5UVSHMlIYpLBVLcwGK6gRVQUXRsmtOv6fNUHUDymmjzklMdA7Dhj3v1/+/1TBsM2LUVsMXcLnQqa5z2nvci6cdn7fIJdHB+eN5qkiSpdOeH0kz4CQJSZaQQ1xQt6fw5f7tk8Hy8ssv8/LLL1NYWAjAiBEjeOqpp1iwYEFbm23btvHkk0+yY8cOdDodY8eOZc2aNZjNnoPBfvGLX/DMM8+0WzZkyBDy872vnyAMFoGgd6IqCrjduN0u7DrlvKd8t+LGrbpxK26cqhNFUU679iVk5La/SGg32tPLtJu3hCyduRG0LnM7Tehkw+llZ27qrV6BtumA1u3aGQpnDANo7405+3Or0aCoKm5VRVFU3IqKoqItO/1ZVbVMIgkwGWTMBq1AoVEn9wr9FoGgp/Hl/u3TlFBGRgYvvPACgwYNQlVV3njjDZYsWcLevXsZMWIE27Zt46qrrmLZsmX8+c9/Rq/Xs3///i4DuUaMGMG6dWfm5vV6MVMlEFwMSLIMsozeYOi++Wf/ZrAEAkEvx6dryDXXXNPu87PPPsvLL7/M9u3bGTFiBA8//DA/+tGPeOKJJ9raDBkypOtO6PWkpgZfvlkgEAgEAsHFgd+Tym63m3fffReLxcLkyZOprKxkx44dJCcnM2XKFFJSUpg5cyabN3uKjm7PkSNHSE9PJzs7m1tvvZWTJ0922t5ut9PY2NjuJRAIBAKB4OLFZ4MlNzeXyMhITCYT3/ve9/joo48YPnw4x48fB7SYlHvvvZfVq1czbtw45syZ0y5181wmTpzI66+/zurVq3n55Zc5ceIE06dPp6mpY4XE559/npiYmLZXZmY3y5ULBAKBQCDoVnzOEnI4HJw8eZKGhgY++OADXn31Vb788kvq6+uZOnUqy5Yt47nnnmtrP3r0aBYuXMjzz3sXzV1fX0+/fv34wx/+wD333OOxjd1ux263t31ubGwkMzNTBN0KBAKBQHABEbKgW9DUQgee1oMYP348O3fu5MUXX2yLWxk+vL3y47Bhw7qc4jmb2NhYBg8ezNGjRztsYzKZerQWjEAgEAgEgu4lYGEERVGw2+1kZWWRnp7O4cOH260vKCigXz/vVSebm5s5duwYaWlpgXZNIBAIBALBRYJPHpZly5axYMEC+vbtS1NTE++88w4bN25kzZo1SJLEY489xtNPP82YMWMYO3Ysb7zxBvn5+XzwwQdt+5gzZw7XXXcdDz74IACPPvoo11xzDf369aO0tJSnn34anU7HLbfcEtxvKhAIBAKB4ILFJ4OlsrKSO+64g7KyMmJiYhg9ejRr1qxh7ty5APz4xz/GZrPx8MMPU1tby5gxY/j8888ZMGBA2z6OHTtGdXV12+fi4mJuueUWampqSEpKYtq0aWzfvt3rWi0CgUAgEAgufoQ0v0AgEAgEgh7Bl/t37yg1KhAIBAKBQNAJwmARCAQCgUDQ6xEGi0AgEAgEgl6PMFgEAoFAIBD0ei6KssitccOippBAIBAIBBcOrfdtb/J/LgqDpbXukKgpJBAIBALBhUdTUxMxMTGdtrko0poVRaG0tJSoqCgkSWpb3lpj6NSpUyLduRcjxunCQIzThYEYpwsDMU4aqqrS1NREeno6stx5lMpF4WGRZZmMjIwO10dHR1/SP4gLBTFOFwZinC4MxDhdGIhxokvPSisi6FYgEAgEAkGvRxgsAoFAIBAIej0XtcFiMpl4+umnMZlMPd0VQSeIcbowEON0YSDG6cJAjJPvXBRBtwKBQCAQCC5uLmoPi0AgEAgEgosDYbAIBAKBQCDo9QiDRSAQCAQCQa9HGCwCgUAgEAh6PRetwVJQUMCSJUtITEwkOjqaadOmsWHDBo9ta2pqyMjIQJIk6uvru7ejlzhdjdP+/fu55ZZbyMzMxGw2M2zYMF588cUe7PGliTfn08mTJ1m4cCHh4eEkJyfz2GOP4XK5eqjHlx4bN25EkiSPr507d7a1W7NmDZMmTSIqKoqkpCS+9a1vUVhY2HMdv8TwdpxUVeV3v/sdgwcPxmQy0adPH5599tke7HnPc9EaLIsWLcLlcrF+/Xp2797NmDFjWLRoEeXl5ee1veeeexg9enQP9FLQ1Tjt3r2b5ORk3nrrLQ4ePMiTTz7JsmXL+Mtf/tLDPb+06Gqc3G43CxcuxOFwsHXrVt544w1ef/11nnrqqR7u+aXDlClTKCsra/daunQp/fv3Z8KECQCcOHGCJUuWMHv2bPbt28eaNWuorq7m+uuv7+HeXzp4M04ADz30EK+++iq/+93vyM/PZ8WKFVx++eU92PNegHoRUlVVpQLqV1991bassbFRBdTPP/+8XduXXnpJnTlzpvrFF1+ogFpXV9fNvb108WWczuYHP/iBesUVV3RHFwWqd+O0atUqVZZltby8vK3Nyy+/rEZHR6t2u73b+yxQVYfDoSYlJam//OUv25a9//77ql6vV91ud9uyFStWqJIkqQ6Hoye6ecnjaZzy8vJUvV6v5ufn92DPeh8XpYclISGBIUOG8Oabb2KxWHC5XPztb38jOTmZ8ePHt7XLy8vjl7/8JW+++WaXRZcEwcfbcTqXhoYG4uPju7GnlzbejNO2bdsYNWoUKSkpbdvNnz+fxsZGDh482FNdv6RZsWIFNTU13H333W3Lxo8fjyzLvPbaa7jdbhoaGli+fDlXXnklBoOhB3t76eJpnD755BOys7NZuXIl/fv3Jysri6VLl1JbW9uDPe0F9LTFFCpOnTqljh8/XpUkSdXpdGpaWpq6Z8+etvU2m00dPXq0unz5clVVVXXDhg3Cw9IDdDVO57JlyxZVr9era9as6cZeCroap3vvvVedN29eu20sFosKqKtWreru7gpUVV2wYIG6YMGC85Zv3LhRTU5OVnU6nQqokydPFte9HsTTON1///2qyWRSJ06cqH711Vfqhg0b1LFjx17ynuULyq3wxBNPdBis1PrKz89HVVUeeOABkpOT2bRpE19//TXXXnst11xzDWVlZQAsW7aMYcOGcdttt/Xwt7r4COY4nc0333zDkiVLePrpp5k3b14PfLOLi1CNkyC4eDtOZ1NcXMyaNWu455572i0vLy/n3nvv5c4772Tnzp18+eWXGI1GbrjhBlQheh4QwRwnRVGw2+28+eabTJ8+nVmzZvGPf/yDDRs2cPjw4e78Wr2KC0qav6qqipqamk7bZGdns2nTJubNm0ddXV27st2DBg3innvu4YknnmDs2LHk5uYiSRKgRWQrioJOp+PJJ5/kmWeeCel3uZgJ5ji1kpeXxxVXXMHSpUsv+Uj5YBHMcXrqqadYsWIF+/bta1t/4sQJsrOz2bNnDzk5OaH6Ghc93o6T0Whs+/yrX/2KP//5z5SUlLSb6vn5z3/O6tWr22WjFBcXk5mZybZt25g0aVLwv8AlQjDH6emnn+a5557D6XS2LbNarYSHh7N27Vrmzp0b/C9wAaDv6Q74QlJSEklJSV22a2lpATgvLkWWZRRFAeDDDz/EarW2rdu5cyff/e532bRpEwMGDAhiry89gjlOAAcPHmT27NnceeedwlgJIsEcp8mTJ/Pss89SWVlJcnIyAJ9//jnR0dEMHz48yD2/tPB2nFpRVZXXXnuNO+6447y4lJaWlvPGUafTAbQ75wS+E8xxmjp1Ki6Xi2PHjrXdjwoKCgDo169f8Dp9odFjk1EhpKqqSk1ISFCvv/56dd++ferhw4fVRx99VDUYDOq+ffs8biNiWLofb8YpNzdXTUpKUm+77Ta1rKys7VVZWdnDvb908GacXC6XOnLkSHXevHnqvn371NWrV6tJSUnqsmXLerj3lx7r1q1TAfXQoUPnrfviiy9USZLUZ555Ri0oKFB3796tzp8/X+3Xr5/a0tLSA729dOlsnNxutzpu3Dh1xowZ6p49e9Rdu3apEydOVOfOndsDPe09XJQGi6qq6s6dO9V58+ap8fHxalRUlDpp0qROg/+EwdIzdDVOTz/9tAqc9+rXr1/PdfoSxJvzqbCwUF2wYIFqNpvVxMRE9ZFHHlGdTmcP9fjS5ZZbblGnTJnS4fp//etfak5OjhoREaEmJSWpixcv9njTFISWrsappKREvf7669XIyEg1JSVFveuuu9Samppu7GHv44KKYREIBAKBQHBpckFlCQkEAoFAILg0EQaLQCAQCASCXo8wWAQCgUAgEPR6hMEiEAgEAoGg1yMMFoFAIBAIBL0eYbAIBAKBQCDo9QiDRSAQCAQCQa9HGCwCgUAgEAh6PcJgEQgEAoFA0OsRBotAIBAIBIJejzBYBAKBQCAQ9HqEwSIQCAQCgaDX8/8BLpV4pREFlUkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"special for VA with many 'independent cities' - collapse these into surrounding counties\")\n",
    "collapsedCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    if len(neighborCountyList[c]) == 1:\n",
    "        collapsedCountyList.append(c)\n",
    "        nC = neighborCountyList[c][0]\n",
    "        print(\"collapsing surrounded 'county'\",c,\"into its surrounder\",nC)\n",
    "        cTL = countyTractList[c].copy()\n",
    "        for v in cTL:\n",
    "            countyNo[v] = nC\n",
    "            countyPop[nC] += tractPop[v]\n",
    "        countyTractList[nC] += cTL\n",
    "        countyTractList[c] = list()\n",
    "        neighborCountyList[c] = list()\n",
    "        neighborCountyList[nC].remove(c)\n",
    "        countyGeom[nC] = countyGeom[nC].union(countyGeom[c])\n",
    "        countyPop[c] = 0.\n",
    "print(\"Here is the updated map, excluding the collapsed counties\")\n",
    "for c in range(nCounties):\n",
    "    if c not in collapsedCountyList:\n",
    "        if c in cutCountyList:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "        else:\n",
    "            plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "398fbc6d-3b05-4c1f-87cb-72d11cdd98bc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 784489\n",
      "checking if county 131 with pop 15425.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 100 with pop 18170.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 105 with pop 14658.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 106 with pop 8180.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 43 with pop 11471.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 44 with pop 2232.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 107 with pop 27982.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 111 with pop 23033.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 114 with pop 42772.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 115 with pop 17219.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 124 with pop 226610.0 and 1 or 2 neighbors is less pop than 196122\n",
      "checking if county 95 with pop 159467.0 and 1 or 2 neighbors is less pop than 196122\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [131, 46, 94, 86, 18, 121]\n",
      "1   [100, 120, 71, 26, 111, 18, 87, 86, 3, 24]\n",
      "2   [105]\n",
      "3   [106, 83, 45, 128, 87, 86, 39]\n",
      "4   [43, 32, 68, 40, 19]\n",
      "5   [44, 8, 7, 77, 2]\n",
      "6   [107, 85]\n",
      "7   [111, 71, 120, 18, 87, 26, 86, 100, 61]\n",
      "8   [114, 115]\n",
      "9   [115, 114]\n",
      "10   [95]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 784489.1 196122\n",
      "You may suggest [ [0,62], [8,44], [11] \n",
      "let's decide whether to delete, accept, or modify list [131, 46, 94, 86, 18, 121] with pop 189518.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [100, 120, 71, 26, 111, 18, 87, 86, 3, 24] with pop 192721.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [105] with pop 14658.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [106, 83, 45, 128, 87, 86, 39] with pop 193653.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [43, 32, 68, 40, 19] with pop 193514.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [43,32,68]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [43, 32, 68, 40, 19] with [43, 32, 68]\n",
      "let's decide whether to delete, accept, or modify list [44, 8, 7, 77, 2] with pop 186342.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [44,8,2]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [44, 8, 7, 77, 2] with [44, 8, 2]\n",
      "let's decide whether to delete, accept, or modify list [107, 85] with pop 184909.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [111, 71, 120, 18, 87, 26, 86, 100, 61] with pop 192726.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [114, 115] with pop 59991.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [115, 114] with pop 59991.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [95] with pop 159467.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n",
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [0, 62]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "14658.0 [105]\n",
      "147963.0 [43, 32, 68]\n",
      "24298.0 [44, 8, 2]\n",
      "45695.0 [0, 62]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in set(has1neighborCs).difference(set(collapsedCountyList)):\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in set(hasFewNeighborCs).difference(set(collapsedCountyList)):\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [0,62], [8,44], [11] \")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15689\n",
      "We defined a total of 22 unit (but not corner-cluster) counties in the map\n",
      "excluding the cut-out districts and collapsed counties\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in set(uncutCountyList).difference(set(collapsedCountyList)):\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map\")\n",
    "print(\"excluding the cut-out districts and collapsed counties\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "5 fragmented VTDs out of 2465\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 5 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 550\n",
      "looking for surrounds, now working on vtd 1193\n",
      "looking for surrounds, now working on vtd 1746\n",
      "WARNING. vtd frag 2039 in county 53 intersected county 36 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING. vtd frag 2041 in county 53 intersected county 36 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "looking for surrounds, now working on vtd 2324\n",
      "After surround checks, we appear to have 1884 building blocks defined. We captured 5 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "working on unit neighbor lists for county 100\n",
      "working on unit neighbor lists for county 120\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            #if STATE == \"TN\":  #Tennessee has a lot of discontiguous county fragments.  Force the nearest intracounty to be a neighbor\n",
    "            #    if nVTDneighbors[v] == 0:\n",
    "            #        listMinusSelf = list( countyFragVTDset[c].difference({v}) )\n",
    "            #        fragDist = [fragVTDgeom[vvv].distance(fragVTDgeom[v]) for vvv in listMinusSelf ]\n",
    "            #        minIndex = fragDist.index(np.min(fragDist))\n",
    "            #        vv = listMinusSelf[minIndex]\n",
    "            #        nVTDneighbors[v] +=1\n",
    "            #        lastVTDneighbor[v] = vv\n",
    "            #        print(\"I am forcing an intracounty neighbor for VTDfrag\",v,\"of vtd\",V,\"in county\",c,\"to be VTDfrag\",vv)\n",
    "            #        forcedPairList.append([v,vv])\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"PA\":  #state-specific manual surround enforcement\n",
    "    specialSurrounded = [7240, 7701]\n",
    "    specialSurrounder = 6447\n",
    "    print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "    c = countyNo[parentVTDno[specialSurrounder]]\n",
    "    plotPoly(countyGeom[c], 0.5)\n",
    "    for v in specialSurrounded:\n",
    "        plotPoly(fragVTDgeom[v])\n",
    "        plotCenter(v,fragVTDgeom[v])\n",
    "    plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "    plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "    plt.show()\n",
    "    shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "    if shouldIcombine == 1:\n",
    "        for v in specialSurrounded:\n",
    "            vv = specialSurrounder\n",
    "            if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                for sNo, s in enumerate(surroundedVTDs):\n",
    "                    if surrounders[sNo] == v:\n",
    "                        surrounders[sNo] = vv\n",
    "            surroundedVTDs.append(v)\n",
    "            surrounders.append(vv)\n",
    "            nVTDneighbors[vv] -=1\n",
    "            nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "            fragVTDpop[vv] += fragVTDpop[v]\n",
    "            fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should usually be the case, but exception in VA\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 118\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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O9KXFtPC/mwW9nqvQzs/eje6hj6Cz7USxtn/lnbk0haJ0VFIxZhQo7CxLHOzaWkSWeyQRJ+fju3kO53r2omDTJgB+nzqdgKxETnYaiNbRcqvr3q5BLLw/iqOXcrn9qz1cyi654fMzmUz88ssv2NjY8MynXzL51bfKt3WasZg+XvEAOBgyaRr/Mx3O/MgF97YoFJbPYaUmI6fSLfVwejadSHM3X5RGf84V7+Bw8vkKx2ru5cCyR7uikMkY89UezmcU3nDcgiDULyKZEYR6ymA28Nbetwh3DUdl25xfj72Hm0sPFvd9Cbn8yl/d59tNocDjKV4/n4beXMktoND+YDZA2nHL6gaShL7MSPzxbNqNCKPbLzNp8usi7Lt2IfmZZ8k6eJiwrb9zzrc5A7+cWeGYPZq5s/Kx7uhNZkZ/tZuDCTk3dI6nTp0iIyODMWPGYGtrW2Gbg18YGaOXUfTIYRxfPc95tScz3F1510bPF6c3UGgoI+rndihMlllWn3d5GLlcTiuXLiAv42ha7BXHa+puz/tjW1OkM3I8Kf+GYhYEof4RyYwg1FMfHfiIc3nn6BF0B+/ufgG12oPlg2Zdkcik6vQ8cjKBHvvPoJHL+KplE9SVJDt4hJHf4gn2Zo/FKNlilmDN/6KRq+Q0ae2GOjAQu3bt8P3oI2QKBZn33gOATf+BODnaX9FdqKeW3x/rTqinlonf7ue3w0nVOj9Jkti7dy9BQUGEhYVV2saz7SC0PqHIFCreC+7J7w5a4pU6vjnwPN0WdSpv90jUZyjlSsYtfY3owuXITc7cGznoiv4uZBbx0I+HaOXnyKAI72rFKwhC/SWSGUGohyb8MYHFsYvpEzSKb45+glrlxG/DfsDdRluhXZ7ByKgj59mdW8Sn4QGc6tGKsV4uV+33twOX3+DnPr6NtAsFjHq6Ld5NL6+qLbe1BffL06Gjpk6+an8u9mp+frAzo9v58tyyY3y0/gxmc9WK1V24cIGUlBR69ux53bapuakcKTvMbY63ET1hI493mQ2ApHDi4MQjPNFiAIeS4jhdugqAZ9u+iUZ15Vie348mIwN+ebALWo0YMigIjYX4bRaEekaSJE5knwBgS/xK1DZNWTfiR7zsnK9o++b5FHINRrZEhRNgo75u35NmduP41iTyM0tJOp1Dh6FBeAc7XdGuJDQc25RkEj2b0ML12gNl1Uo5H94eSainlpnrznAhs5hPx7fBTn3tPy8XLlzA0dGR4ODg68Y9Y/sMzDIzD3d/GIVcwaNh/RkduAcnlQ02ShUFuiL+PG8ZOzMzagHDW3S4og+TWeLwpVzctBqc7G5u0LIgCPWLSGYEoZ6RyWQcuucQHX+21E35afDXlSYyW7MLWJyWw6dhAVVKZACUKgXtB1W+ttO/lTzzKt/lO3Hfc/dUOeaHe4XQ1F3L04uPMu7rvXw3qRPeTjZX3efEyeW0afsX6zf8SGDATCIihlbazmAysD9/PwArLq7gBU/LLC7vvysDJ+aUMOjXSSi15wCI8AqssH9yXilfbj3PhhNpZBfrGR7pU6VzEgSh4RC3mQShHtIoNDzbaxFZfl/xdkIJZf+p6bIrt5BHTiXQ28WBCT6uNX78QymFrG3aDaOrx/Ub/8vAll4se7Qr2UV6Rn25ixPJlQ+yzc/PITLyLwDU6kLS0p/g3LlNlbYtyCugb3JfhrgM4cdTP7Lq/KoK223VCuQ2qUgmDbf5PEET58sripvMEg8uOMjGk+nc3sGf36Z2Y87d7at1ToIg1H8imRGEeuqBpq2Z27oV23ML+SA+tfz1QqOJx05dpLXWju9aBV2xXtPNyi81MPuvc2g1SjoHu11/h/+I8HVi1ePd8Xa04c55e1l/IvWKNhcvzgcgJ7sPXTofwGhUc/HiEkwmS0G70tJSS/0ZYOfOnQTZBPHOoHcYEzqGN/a8wYpzKwDLLbkLhceQK4ppbXc3Hw56pMIA6e1nMziTVsjX97bnldta0KHJ1ccTCYLQcInbTIJQT8WVlPHlpQwA+rlaVo42mCUeO3WRUpOZT8IDcFAqrtXFDflis+V2jc5oQiG/sUTJ09GGJY905bllx3j05yO8OCSMqb1DkMlk6PVZ5Ob9grfXnfTp/S5lZQkolXpgK9u2twQgJqY/ebm+2NjYUFZWRteuXbGxseH1rq+TWJjIG3veIMo7iu9PfM+ys8vQygPJTW9Ddl4pLo4aJGQcOZnJTwcSaO3nRPtAkcQIQmMmkhlBqIeKjSbujI7DVi5nU8fmtHawo9Rk5qGTCWzPKWRh66YE2Wpq5diFZZb1i+ZOvHIQbXXYqBR8cVc7Qjy0fLQ+lvMZRcwc25rk5EVIkolmzV7gQvzHXLr0LQAKRUfk8vYYDN8QGXkQO9uPMBptkcvltGxpSXIkSSK7LJuWbi3xsvdid/Juuvt2p4f9MxxdlMjil/eSZyND72ODZ3wpIXIzncbV/NUrQRDqF5HMCEI99OnFdHINRlZGhdPEVkOm3sBDJxI4VljCj62b0tfNsVaOazJLbDqdjlopZ0BLr5vuTy6XMW1gc4Ld7Xnxt+Mk5pTwSvdEbG0CSEtfzaVL3xIS/DxxFz7GxdmR1q2nsf/AX5SUXMDfPwN//4kV+tuTsof4/HiaODbhk0OfkFKcQp+APsg35hNsVFDoqMC5wATxpQSoZLRQKPHyuHK2liAIjYsYMyMI9UyuwcjK9FyGeTjT5O+rLx9eSON4USlL2oTUWiIDkFmoI6dYz+Su15/xVB2j2/nx60NdSMo8TWb6KpCpOX9+JoEBDxIUNBWl0oGs7C1kZKyjpOQCDg6t8PG5/Yp+uvl14+Wol7FV2rI+fj1jm41lXNg4Inv7A+CjtHw+G+qopL29kuY2CgKMVat7IwhCwyWuzAhCPfLvMTEvB1+eQny2pIwoR3uinLXX2PvmGE1muszcjJOtivu7N63x/h0VcTzdfh4KuYmiohjc3fsTEvKi5dhGyzpJ+QXRqFQudOq4ApnsyvFAKrmKiS0mMrFFxSs29AKVRsFfP5zCPUCLuvDyytjFa3Zj37Q/CsfaSwIFQbAukcwIQj1QbDSxLiufH1OyOVJQzC+RIfj/q3bMyaJS/DRqzpeUEWp39dotNyM1vwwAN3s1vs6212ldfZfOjsfj72612nAiW89FJlOg01kGObu59iIpaSEAkmSqNJm5lrDO3gRGuGKrVVN6JofsBScBKDl8gLNRr+B0+1hcJ03GJqx5zZ2UIAj1grjNJAhWdiS/mH4HY3ni9CWy9Ua+b9WU3v+puvtkoCdnS8oYeugsxwpvfJXqaynSWQb+NnGzq/G+s4p0/HDyHnSyCJo2fZr27X4uT1aSUxYD4ONzOyqVZdZRdvaOGzqOrdaSANo0c8GhXwDGzEMYLmwGIP+3FcSPGkXOrl03ezqCINQzIpkRBCuKKyljwvELOKkUfB3RhI2dmjPIveKA1d25hXwQnwZAocnM4ENn8d4afUUhvZthMks89etRAPq3uPmBv/+1OjqFA2ld6Bq1nOCmT5UnLQBabRg2Nn6cOPk0BkMutrZNcHXtcVPHkylkOA0KImj+s7jcNbbCtugP30OSxDgaQWhMxG0mQbCSdJ2Bu45dwFOtZEmbEFxUFX8dTZLEq+eSWZCcdcW+g9wc0dxgDZjKTF9xnHMZRXQKcmFi58Dr71BNf8ak0j3UDRf7K5dd8PQYjIf7IIqKY5EkI1r75sjlVVueoSqMI2/jxJb1tHfpj9K9GXbyQi7s3k9Ijy41dgxBEKxLJDOCYCXvXkihzGxmZbvmVyQyAM+dSWRxWg79XB34KfLyYoyKGq6Zcjwpj6WHknhjREvu7dKkRmuybIvN4JUVMaTklzHvnqvXrZHJZDhow2vsuP/m27I1Du2HoZFZkhd/wHxAh6mzHoWq5pImQRCsRyQzgmAFP6VksSwtl/ea+VUY6PuPdJ2BJWk5dHPW8ktkcK0WfXv3j9M0cbPj7s6BKBU1d+e5zGDilRUxeDvZ8NrwlgyOqPnbV1Uhk8kY8uEL5G+6SPH+VLJd1pPR4ifO7YT4C+3xDLoXWYCM9n5dcbV1xbYGvweCINQNkcwIQh2SJIk79xxnl87MPb7u3O/nfkUbo1li+BHLkgLvN/er1UQmo6CMgxdzmHVHGzQ1vDTCwj0JZBTq+HlKZ4I9am9KeVU5DWyCpr0dp4/9VP5a0+AjfHamiIvJSQCUagfy5BY9gzZvxqdTHk7N9MjMRjb3/o1+ffqLSsKCUE+JZEYQ6tBnazfS6uBePB2cCZZ3orCpJ06aissSzDifTGKZnv+1CCTcvuanSP/bhlPpKGQyBrTwrNF+N55MY/Zf55gQFVgvEpl/2Lh5EBL0EgmXvsRkLkKS4KJ9Uvl298yNDNhiGVidetAZ55AUABZuOsC+QzaM93UlaFgISufaWUpCEIQbI66nCkIdiY2NpeDgXhQhzdHa2pGxbRPvf/wpry1fxdH0jPJ250ss9V5GeTrXekzrT6TSNcQNZ7uaGTsiSRJLDyby2C9H6N3cg+m31c44mJsRFPwwvXodKi/Y5/6vC1Lhaa2Q/z3TSaa0JDXzjMM5p+7I5GwJm5hs0j89RMHBhLoOWxCEaxBXZgShDsTHx7NkyRJatGjBnXfeiVwuJyY5lZU7dqE7HcOKk9Es8A2kU1QUO3P0NLe3RSOv3c8apXoT+y7kMKCFJ8U6I/aam/tzYDJLPP7LEdafTGN8xwDeG9OqRsfg1CS5XEVQk0dQyNszMX4Lwa06cdAzjKEf3waAzEaDZ0Q6AEucH+IjXw84noN+jD3qlcUU/JZIqsNCfP3uwMEhwpqnIggC1bwyM3fuXCIjI3F0dMTR0ZGuXbuybt268u1xcXGMGTMGDw8PHB0dGTduHOnp6dft98svvyQoKAgbGxs6d+7MgQMHqn8mglCPRUdHYzab6dKlC/K/k5TWfj68PuFOXn7+OQK79cIuL4fzK5cx5ugOHCVTrcdko5LzeN9QtsZm0ufjbSw5eAmTufr1V0xmiRPJ+Tz2y2HWn0zjiwnt+PCOyHqbyPxbQEAnpkx5iX5d+vFSsB9NZ3+Kw+DBmP7cxpdBY3hWP5XfH+uG8UIeWUoo22spwJfbaj1pGas5cHAkR47eg05/5fR5QRDqjkyqRvWoNWvWoFAoaNasGZIksXDhQmbNmsXRo0cJCgoiMjKSNm3a8NZbbwEwY8YMUlJS2LdvX/kf8P9asmQJkyZNYt68eXTu3JnZs2ezbNkyYmNj8fSs2n38goICnJycyM/Px1GsvyLUQ4WFhfz0009kZGQwYcIEwsLCrmhjNpt5++23AXjx5Zexs6mdZQv+Kym3hFkbYlkVnUK4twNP9W9GbomeY4l5nEwpoEuwGy8MDsNGdeUAYUmSmPqz5WqMq72ad0e34rbWPpUcpeEwmMw0e3UdGqWcDc/0ItDVltOv7CIpyJ5Az/U4HOiF+7Qw1O6uZGZu4MTJp2jebAYBAfdZO3RBaHBq6v27Wh+dRowYwW233UazZs1o3rw57733Hlqtln379rF7924SEhJYsGABrVu3pnXr1ixcuJBDhw6xZcuWq/b56aef8tBDD3H//ffTsmVL5s2bh52dHd9///0Nn5Qg1Df29va4uFiq3tpcJUmRy+W0b98egMwqXNGsKf4udnx+VztWPtYNrUbJY78c4fVVJzmZUkCop5af911k4nf7KdEbK+wnSRLzd8Wz/mQas+6IZM/L/Rp8IgOw+bRl/JLOaMZolkiITscJGa7NXHEN7A6A2axHLlei//uKjINDK6vFKwjCTYyZMZlMLFu2jOLiYrp27UpcXBwymQzNv2Zm2NjYIJfL2bVrFwMGDLiiD71ez+HDh5k+fXr5a3K5nAEDBrB3796rHlun06HTXV4Vt6Cg4EZPQxDqxPbt24mNjWXcuHE0adKk0jaHDh3iyJEjtGrVCn9//zqOENoFurDs0a7EZRbj52yLrdpyJeZAfA73/3CAyd8f4Pv7OuFgoyK9oIwpCw8Rk5zP5K5NuLNjQJ3HW1uGtPLm20kdmbn2NMP+t5PNRstsrKY2KvRHLN+T/IsnsPP2Jyt7K26uvXB27mjNkAXhllftm9oxMTFotVo0Gg2PPvooK1eupGXLlnTp0gV7e3teeuklSkpKKC4u5vnnn8dkMpGamlppX1lZWZhMJry8KhbT8vLyIi0t7aoxzJw5Eycnp/JHQEDj+UMqND5JSUns2LGDPn360LJly0rb7Ny5kz/++IOoqCjGjh2LQlGzNV+qSiaTEeqpLU9kAKKauvLTlM6cSSvk3vkHyCvR8+jPh7mQWcSihzrz1qjGd1ViYEsv/nyqJ6Pa+vILlg9OZWviMV+wbE+OXUJs7JsolQ4UFp3GaCy2YrSCIFQ7mQkLCyM6Opr9+/czdepUJk+ezKlTp/Dw8GDZsmWsWbMGrVaLk5MTeXl5tG/f/qrjZW7U9OnTyc/PL38kJibWaP+CcDOOHj3KsmXLKCgowGw2s27dOjw9PenZs+cVbSVJYsuWLWzevJnevXszdOjQGv99qQntA11YNKULCdnFtH17E0cv5fH5Xe3oFnJl0b/Gwlat4MPbI/Fr5VH+mtPQpvjN7I5Xv76kpC4jPX0TRUWFREe/Sk5OjhWjFYRbW7VvM6nVakJDQwHo0KEDBw8e5PPPP+frr79m0KBBxMXFkZWVhVKpxNnZGW9vb4KDgyvty93dHYVCccWMp/T0dLy9va8ag0ajqXA7SxDqi+zsbFatWgXAyZMn6du3L8nJydx3332VXm3ZuXMnO3bsYODAgXTv3r2uw62W1v5O/PpQF+774QB3dPBnQEvrLE9Ql2QyGffc04b89QkUbk9EHaBFJpMT4D8JF+fufPzx5WrCSuUcxoy5HT8/P5ydnTEajSiVovqFINSFm/5NM5vNFcavgCVJAdiyZQsZGRmMHDmy0n3VajUdOnRg8+bNjB49ury/zZs388QTT9xsaIJQpw4ePMiff/6JjY0NzZo1IyYmhq1bt9K2bVuCgoIqtM3NzWXPnj0cPHiQdu3a1ftE5h8tfBzZ83J/FDW4YndD4DQkCIc+/shtLv/J1GpDUKvV6PV6lEozKpUNy5YtK98uAauiBmDj6kp/V0eebuKFp0ZlhegFofGrVjIzffp0hg4dSmBgIIWFhSxatIht27axYcMGAH744QdatGiBh4cHe/fu5emnn+bZZ5+tMA21f//+jBkzpjxZmTZtGpMnT6Zjx45ERUUxe/ZsiouLuf/++2vwNAWhdhkMBrZu3UpwcDDDhw/H1dWV1q1bExsbS7t27Thz5gwajYa8vDxOnz7N2bNnsbOzo3///nTr1s3a4VfLrZbI/OPficw/pk+fXl5Kon//AYSFhbF+z15O7t0DwMSmfmTKlSxLz+FgQTGr2zXDpgHU3xGEhqZayUxGRgaTJk0iNTUVJycnIiMj2bBhAwMHDgQs5dqnT59OTk4OQUFBvPrqqzz77LMV+vjnNtQ/xo8fT2ZmJq+//jppaWm0bduW9evXXzEoWBDqswMHDlBaWsqwYcNwdXUFwMPDgz179vDdd99VaOvh4cGIESNo3bo1anXNLCMgWIdMJmPs2LGsX7+eP/74gyNHjpBeVEyBjR3LOvTFI7eEfq6OPN3Em5kXUliYksUjATW7DpYgCNUsmldfiaJ5Ql0yZpciU8lROFrGbeXn5/PFF1/Qrl07hg0bBlhuI82fPx+lUsngwYPx8fHBaDTi5OSESiVuNTRGFy5cYN++fRQWFtJ3yFDSHFzYnF3A1pxCzv693hZAbNcInGzEz4AgQM29f4vRaYJQRcbcMop2p1C0KxlNcxc8HmhFWV4Jn83+DLDcQv3Hxo0bkcvlTJkyBa22/qwaLdSe4ODgCpMdmgO9XB14Q5L4K7uAl84kkmow8vpvB5l9d1dkslvzdp0g1AZx81YQqsBUqCdz3jFKjlhm3qk8bNFdyOf0x9vK2+TGWSrHJiYmcvr0afr16ycSGQG5TEafMjlr/sjl5z3FPBBrJnrDH9YOSxAaFZHMCEIV5P1+HnOZCc/H2gJQejKbzG+O4+fjy31D7sJJbs93Sxew/vvfWb9uHR4eHkRGRlo3aKHeyPrhBADhhWZsivPYuuBb0uLOWTkqQWg8RDIjCNdhyCyh9FQ2jgMCUThbxsmY8nTYdfDCbVJLgrqE8/gLT9HBvxX7LkWTnJJCVPN29bL4nWAdPtM7I7O13NW/WHwKSTLz41vTWbVoIbGxm2kEQxcFwarEmBlBuArJaKZodzIFmy+hdLPFvoMXMqUcp2FNkWvV2Le7PCtFbavhtofG0u5URw6s2Yn7Zh05+WdxHhmCXG2dpQmE+kOmlOP9XAcA4n4/R+nhYHwjL7HL+zDbko/xomMJPj4jrBylIDRcYjaTIFRCMktk/3SKstM52LX1wGlECAr7qs1AkcwS+WvjKdqVjPPYULRRDX8laaFmnToWzVsn9rPdtzMAY2xPM7fLBCtHJQh1r6bev8V1cEGoRGlMJmWnc3CdGI7rXeFVTmQAZHIZNuGuf38tfsWEK7Vs07Y8kZniaWJlaQvuPXSO3DKDlSMThIZJ/KUVhP8w603krjyPppkztq1ubCFFhZMaZKBPLKjh6ITG4ruIIMu/GQrQmej3+6sc/t846wYlCA2UGDMjCP+R8rqlFL0s0u6Ga4GoPOxw6O1P0b40nIY0RW4rftWEioa4OwEg0xlYtedxopSxUAKUFYCNuF0uCNUhrswIjUvWOTi74YZ3l8zm8q/LfkshYfPBG+7LvosvmCUKNl+64T6Exkspl5HSpw0nujQlSh57ecOJ36wXlCA0UCKZERoPkwHm9YRF42DbB3ADY9vjjx1m5cXPy58rN5UR88HvmAyWsQxJu44T/fpSdIVF1+1L6axBHaClJDqj2nEItwa5TIabszs5cjlRTfwplcmgJNvaYQlCgyOSGaHxSD8JxlLwbQ/bZsLa58FsqlYXR9auxiUoAEMvFdqHgilsWoxLnhsX3thM9P9Wwh/5uOt9OPPjpir1p/LTYi4yUHY+90bOSLhFLG01kFK5nKigAAiIsnY4gtDgiGRGaDyOLwF7D3hwE4z4Hxz6Hn57EIy6Ku2edv4sF48fpePw0TS9rQvOIX60eGQI2W6Z2JrtcU9xp8RYSKGUi91Fmyr16dDTH4C8ledv+LSExu/hMYvLvzYH9bBiJILQMIlkRmgcNrwK+76CVneAQgkdJsO4n+DMWsttJ13hdbvY+9uvuPj40bxrxTeT8EcGlX/t81RHjHIDesqqVLW15KjlFpND38BqnpBwK5HL5JV+LQhC1YjfGqHhK86GA99C2G0w6J3Lr7cYDveugOQjsHAEFGddtYszu7dz4chBuo+/F7m8YsXeuNlby7/O/yoWF8kT++4+V8x0koxmys7mYswpw1SgI399PPnrE9B298W+o1fNnKvQKBX/a5xMsf7647EEQahIzBcVGr6idDDpoMtUUPynuF1QD7jvT/j5dvh+MNy7EpwrXiUpKy5iy4JvaN6lB2H/uSpjNpmwL9aS65GDXVNX5Pv1lHiX0GLEsArtJJNE1sKT6M7lWV5QyJAp5Tj09MNxUFANn7DQ2Kz7aQ6PlOZTJJdjp6jaLUxBEC4TyYzQcCUfhr/ehMI0QAauIZW384mEBzfAT2Nh/iC4ZwV4tSzffOD3ZRh1OvpOfujKfSUZCpkSlac9Ibf3xDhMj9JGfUWz/D8voIvLQ+GoxlSgx769l2UNJxvxKyZcW8rrb/K9wYO1mnzWmzohU4ifGUGoLvFbIzRcv/xdLTWoB0Q9DE5+V2/rGgwPbIBfbufCnFeQ959OUJ/OlBTkE73hT9oNHYHW1e2K3fQFlkv+Miy3lCpLZIoPplG0JwXn0SHYRXpgzC5DHeBw8+cnNHqSJJG/dAnOUZMJ8l0EQIJ1QxKEBkkkM0LDZdRBixEwZm7V2jt4kRT+HuuiTbC4mB6mRHKTNyCTy+gwbHSlu6idtRRKuWhPOnF+/laCxnVDKjORt/I8jkOCUDhpyP3tHKoAB7RdfC372FV9HSfh1iaZzexqF8bIzI3cSwI2tnbAsOvuJwhCRSKZERqm4izQF1a4XXQ9kq6Ezcsy8HMowK1dZ3b8uhN94e90uX0Cdo5Ole4jl8sJeK4bqZ8cxPaclrT3DpRvy/ruBJLehNxBhft9ETd9SsKt57snp1BoNlLgaEeyLokgmdbaIQlCgyRmMwkN06HvLf9GjKlae7OZ08vXUGRyo/P4TvS8uxW2dvsAOLPnFAbD1Vcrtvdw44xnNLsLVuM4NAgAlb8W20jLIpQOPf2rtaq2IPzjrrc/rPDcHNrUSpEIQsMmkhmh4TmzFra+Bz2eBSd/dLl56Ev0V21+6tcV/PDECrbu9ADAu30rAKb873+07DOOvNTjfP/0a5QWlla6/97lv3L2wG7Cx/TFsXcAfu92x3NqW1zvaI7/Bz1x6OVf8+co3BIc3T1p9+pjGOWWNcHOmZOtHJEgNEwimREaFpPBMoMpsCv0f4Pi1DS+m36EP17/9YqmhqJC9sz+ma3bnSkxuwLQq3M6MvnlH/uhUyfR/a6nKcqOZf4zz5OXUXHZgbz0NPYuX0RYt160GXgbADKlHJnixlbTFoR/+y7mO54++hJL+icRM9KOrK4u1g5JEBokMWZGaFjitkBWLDy0BWQyts/7C/AltSiAX55cRMeedpw+bsDHs5hDpwIBy6Dc0Xer8e3Z/YpCdwBdxgxA6+rExnkfsvD55xj3+jv4hPphNptY/en7OHv70O++h+v2PIVbwqAmg/j8yOc46n04oozFJTfd2iEJQoMkkhmhYTn4HXhHWhaTBEylZQAoZAbyDN78tcXSLDnLMs3ayy6JOz6ddN1uW/XuhNblPVZ++CaLX3+B4dNmUJp/kcyEC0x452PsnJxr5XSEW0juRdg0w1IPqe+rIJNTuCeHR/daVmk3ygysbTHPykEKQsMkk6qywEw9V1BQgJOTE/n5+Tg6Olo7HKE2fRIOkeNg4NsA5Mdd4OdZCQwZWoyNqytl+UX4tm1G7qVMss6cJ/KBidXqPiMhhcVvzMBQZvmEHNF7AEMee6amz0JoxIqKz1FScgEHbQQqlRPy1NPIz/wJ++ZaKlX/y5dpKys8DxyqZsQosdCkcOuoqfdvcWVGaDgyTkNhqmW8zN/0xZYrM2pbJX49u5e/busfjG+3ztU+hGeQL3e/9xE/vfQmto4SvSc9ePNxC7eM7OydHDs+BUkyVni9Q0wezl2fhJ7PQdY5ywrv++fR3eF79pdMxmhSENLeg/5Dql5qQBCEy0QyIzQcGacs//pHAVCSmc3qeecBLQ6eNTdw8tzBXGxdbufe97piq9XUWL9C41ZSEk/Micdxde1OWPN3KCk5z6WYt8kxJ6C5YwkEDrA0zDprSWaAthOH0abNACSzhFwh5mMIwo0Svz1Cw+HTFpDBvi8pupTA9lmLKDNr6dcrC+e2XWrkEFlJRRzdeImOw4KwdxKJjFB15+NmoVI50yriC2xt/XBz6419Xh4AxfknLI32fgkrH4Fmg+D589B2AjKZTCQygnCTxJUZoeFwCwHPFlzcc5z1y09hlCJoExxPi7tr7lbQnhXncfSwpd2gwOs3FoS/ZWVtITNzAy1bfIRSaW950WQgxS4HkKN17wJnN8CGV6DHNOj/OlQys04QhBsjkhmh4chL5PwFRzYUPUagcwKd72yLR5v7aqz7rKQiEk/lMGhKBArxSVmoosSknzh79k3c3Qfg7T368gaFihby3pwy7+DE0QdoHa9A07SXSGQEoRaIZEao1ySDgayvv8FcWoJ06Cc2uMwGICnHj/4BTZEpFTVyHF2pkXXzjuPkYUvTv5cpEISqSEiYA4C7W19ksoo/j14DFmBzbgnH417hYFMTnZx7oxGJjCDUOPHxU6jXkp54kqw5c8iZ/z3ZMWac8uMAMMtV/PD6UY7MXYchr+Cmj7Nn+TlKCw2MfLotSnXNJEjCraFH9314e40i9uxbFBQcv2K7U7PxtG//CzobBXneHlaIUBAaP3FlRqi3DOkZFO3ejdsjj+DxxOOYy8qIcHDAbDZz9Mu17Dtpx95jGvYeO4TKVMKkD3ph41a9OgV7V8Zh1Js4tTuVPhPDcHS3raWzERormUxGixYfkJd3kKSkn2jZctYVbVTOoQCYbMTPlyDUBnFlRqi3subNRW5nh9uUB5GpVCgcHACQy+V0eHI4j8zuQa9OlnoeBoUdh+ZuvG6fJoOZ7OQiAE5sT+LIhosc35qEvZOalj18a+9khEYnM3MTFy99i8GQi8lUit6Qhb22+RXtzGY9hUVnAMjO2VXXYQrCLUFcmRHqJUNaGvm/rcD9scfKk5j/Utqoaf3gIPbuXYNBaU9w/4jr9rtjcSyndqcS3M6DC0cz8W3mTGCEK+FdfSpdt0kQriY29g10+nTi47/Az/duzGYj3l6jAdDpMsnK2kxO7m6ys3dgMhWhUrni4lIzJQQEQahIJDNCvZT5+f9QODnhcveE67Y1/D0VNud8Or5dW1TaRpIkDq+7yKndqQBcOJpJq15+9JrQXCQxQrXt2z8EnS4NO/tQTMYiLiV+i0ymoqjoNNHRkykqPotMJsdBG0GTwCm4uw9Aqw0XP2uCUEtEMiPUS4WbN+MyfhyKaqzVcXxXBi3uNpN0OpcjGy6SnVxERC8/2g0I5PD6BKL/SsQvzJlhj7VBX2rEzkkt3lyE6ivNJezIOVzSs0nt0Arv4euJPvYAOTk7iT52Py4uXWkZOAs3t96o1a7WjlYQbgkimRHqndITJzEXFGDTunWV2nsr0kgzeZMrc+e7aTsx6ky4+dnjH+5C9KZLHN1wkX+WUx31TDtkMhkqjZixJNyg7R/hkp4FgM/h7WSaRlLmaVlAMiTkBZoEPoxMJoYjCkJdEsnMLcCYnU3am2+h7dMbxxEjkKvV1g7pmgxJSQDYtmlTpfbdBriyYgPIMdO2fxBNWrvhFeSITCajILuU84cyyEkpJmpEU3ElRrh5+74CIGniDhyPTMcjeid5LQPwGLQUZ+cOVg5OEG5NMkn65zNrw1VTS4g3VhmfzSb7668BULi74zrxbpzvugulS80tzlhTJEniTAvLysEpz96BeddBigPc8Ok/lKh+EytNRnRxcVwYNhzHESPwm/VRXYcs3CLu++EACpmMdsW7eCLzTQCylV64GdMx3bMERegQ6wYoCA1QTb1/i2uhjZypoID8NatxuuN2gteuxaF/f7Lmfc35vv1Ie/tt9BcvWjvECk5s/a38a9/PluN/8CJhK47g+Ph7rLmzOxdidl+xT97SpQAoPUVBMqF2FOmMbIvNZPOZDD5ObE73ss857tQPN2M6AIqgflaOUBBubSKZaeTyli3HmJKKyx13oAluis9bbxK6dQtuD02hYP0G4oYMJfGJJyg5dAhrX6STJIlZutU8PVVN81MncF3/GwEHdhESfZjCV6fgnlhA8fgpbHj9QUwmY/l+dp0t011z5n9PwaZN1gpfaMS0mst35Ofd057fX51A5LMrecb5Cz73eh+U9fvWrSA0diKZaeSK9+8DQOnjU/6a0tUVj8cfJ3TrFrzffgt9fAIX77mXhDvHURpzwlqhsjdlL0czjvLk8HdRyBV4BbVE6+iG2saOqHufo81fO4gf0Rb/pXvYOOOB8v20fXpj37MnAMlPPoWpsNBapyA0YhOiAgDwdrLFw0HDl1vP83uaG0FdR1s3MEEQRDLTmEmSROmRoziPH4/Ky+uK7XKNBpc77yR4zWoCvv0GyWwi4a67KDl0qM5jNZgNzD4ym3DXcIYHD6+0jb2DKyM//JWE8V0JWnGQ88d3ACCTywn89pvydmc7RXFh7FjMOl2dxC40Xk+dvsjkmAvkGoy8OKwFMqWMR5ZHM3/nBWZtiGVy1yaMbCMqRwuCtYlkphGTdDrMRUWoAwOv2U4ml6Pt2ZOmixdjEx5OyiuvYioqrqMoLZacWUJsbixvdn3zujOO+j/3CWbg3I41FV4PP34Mj2eexr5nT3SnTqM7d74WIxYau4XJWSxNy2VDVgGDDp3lk0vp6EMcSU8v5p0/T9Mv3JO3RrUSM+QEoR6oVjIzd+5cIiMjcXR0xNHRka5du7Ju3bry7Wlpadx77714e3tjb29P+/bt+e23367RI7z5puXN69+P8PDwGzsboQJTTg4AcgdtldrL1Gp8P56FKTubtDfeqM3QKtCb9Pxw8gdGBI8gwv36SxLYOLqQ4WeHeef+Cq/L1GrcH30Uv48tC/2VnbDeLTOhYduZU8gr55J4wM+dA11aUGQ08V1SFv07+KJ0UAHQMUQUxBOE+qJayYy/vz8ffPABhw8f5tChQ/Tr149Ro0Zx8uRJACZNmkRsbCyrV68mJiaGsWPHMm7cOI4ePXrNfiMiIkhNTS1/7NolFmOrCTIbG2R2dujOnqvyPpqmTfF4bhoF69ahv3SpFqO7bNHpRWSXZjM5YnKV9zGPGkDQ8UzOHdp8xTa5oyM2rVuT/uGH5C5ebPWBzULD8sexUxya9jwPrPiVEXnp+GtUzG/VlGeaePFBc39K/e0w+tkxpkOAtUMVBOFv1UpmRowYwW233UazZs1o3rw57733Hlqtln37LINM9+zZw5NPPklUVBTBwcG89tprODs7c/jw4Wv2q1Qq8fb2Ln+4u7vf+BkJ5UqPH0cqKSF/zZrrN/4X57FjUTg7k7NgQe0E9h+H0w/T3qs9zVyaVXmfng+9QZarkoT337xim0wmo8nCBTiNGknam2+R+NDDdX7bTGi4XH9fwZB9O7h742qcJ93DoY5R6Nes5uVgHw4vW8HIuF206eaHj52YwSQI9cUNj5kxmUwsXryY4uJiunbtCkC3bt1YsmQJOTk5mM1mFi9eTFlZGX369LlmX+fOncPX15fg4GAmTpzIpetcEdDpdBQUFFR4CBUZ0tJIenQqAO4PTanWvnIbG1zumUjebysw/n2rqjadyzuHj73P9Rv+i9rWjqJOYfifyqowTfsfcjs7fN58E/95cymNjiZh/Hgkg6GmQhYaKUmS8Ny9E+c778T/wAFyPvqEbG8fvN5/h9PhLQh97y2eWrqQnyODrR2qIAj/Uu1kJiYmBq1Wi0aj4dFHH2XlypW0bGmp2Lp06VIMBgNubm5oNBoeeeQRVq5cSWho6FX769y5MwsWLGD9+vXMnTuX+Ph4evbsSeE1ptfOnDkTJyen8kdAgLjc+2+m/HwuPTgFma0tQcuW4jaleskMgMuECSCXk/vLolqI8DJJktAoNMhvYC0bk9Kyz86h3dgytDMbZz19RRuHPn3w/egj9HFx5C5bdtPxCo1byYGDGC5dwmHQQBwcHeg+8jb6rlrBqekzytsYbhuGi0qsBCMI9Um130HCwsKIjo5m//79TJ06lcmTJ3Pq1CkAZsyYQV5eHn/99ReHDh1i2rRpjBs3jpiYmKv2N3ToUO68804iIyMZPHgwa9euJS8vj6V/V3WtzPTp08nPzy9/JCYmVvc0GrX8VavQx8XhP/szbKu4WON/KV1ccL7jDnJ/+QVzSUkNR3jZl9FfciH/An0C+lR73yEzfyTuxdvJc9VQpJEImL+Rvz56+ooxMtq+fXAcPpzMTz+jNDq6RuIWGh9Jkkh7800UHu7Yd+9e/rqNSsXYSRNQBwdj37s3rT+ZZcUoBUGozE2vzTRgwABCQkJ48cUXCQ0N5cSJE0RERFTYHhoayrx586rcZ6dOnRgwYAAzZ86sUnuxNlNFqTNmkLdsOaHbt1VaX6aq9EnJxA0ejNf06bjeM7EGI7TYlbSLqZunolVp2Xv33pvqy2w2s3baOELWnySppQetPv4Sn+DLiZwpP5/EqY9RGhODtkcP3B6agl379jd7CkIjYkjP4Hzv3oBlkVP/L+eg/Hv8XumJkyTccQcBX89D+3cbQRBuXr1Zm8lsNqPT6Sj5+9O7XF6xS4VCgdlsrnJ/RUVFxMXF4eNTvTEUwmXGbMs4F8VNLiSp9vfDcehQcn74Acl45biUm7H2wloe2/wYAEWGIqZtm4bJbLrh/uRyOcNnLyflrQfQJmaTOHYcJxfNRTJZ+lQ4OdFkwQ94TpuGITWVi3dPJOeXX2rkXITGIfPTT8u/Lj12jMzP/1f+PG/ZMpDLse/WzRqhCYJwHdVKZqZPn86OHTtISEggJiaG6dOns23bNiZOnEh4eDihoaE88sgjHDhwgLi4OD755BM2bdrE6NGjy/vo378/c+bMKX/+/PPPs337dhISEtizZw9jxoxBoVAwYcKEGjvJW80/V1EK/lx70325PfgAhuRk8n//vcamOOeV5bH6wmpaurVk+7jtNHdpzqaLm+i7rC/nc2+u0F3/8S9w9ovHifWXIX/7f1y8dxIFGzdi1uuRqdU4DrsNh36WRQENSck1cTpCI+H74Qf4zZ6N3+zZAJSe/FedIhloQoKRqVTWCU4QhGuqVjKTkZHBpEmTCAsLo3///hw8eJANGzYwcOBAVCoVa9euxcPDgxEjRhAZGcmPP/7IwoULue2228r7iIuLIysrq/x5UlISEyZMICwsjHHjxuHm5sa+ffvw8BArIN8o+27dUAcFURZz/Kb7smnRAm3//qS+NoP4kSPJ+vobDMk3ngQU6Yu4fc3t7E7eTbhrOK62rvw28jcea/MYeWV5jF09lnnHqn5L8r9SilL4Mm4BJ14cgf+PCzAV5JP81NPERrbhTNt2nO/Vm6yvvgJA27vXDR9HaJyMfTpxVGdJqD0ef7z8dVNuHkoPT2uFJQjCddz0mJn6QIyZudK5Pn2x79Ed33ffvem+JIOBot27KVjzB4WbNyOVlWHboQNOI4bjMHgwyirezpIkidf3vM7v539nQvgE7o+4Hx/t5duJZ3POMmXjFHJ1uYS5hPH9kO9xVFfv//NoxlEmrZvEgiEL6ODVAYCy2LOUnTiBubgIhZMTdlFRmEtK0ISEVKtvofHr8FMHDEYdSz40YTvtMYIefhKAi/dOQunlVV5dWhCEmlFT799ifmEjZczORu3nVyN9yVQqHPr0waFPH8zFxRRu3kz+mj9Ie+dd0t57H22PHjiNGI62b1/ktraV9lGgL+DVna+yLWkbL3R8gUkRk65o09y1OVvHbeW57c+x+dJm+i7py6zes+gX2K/SPs2SmaTCJPJ1+bT2sAz2DXSwrEN1IPVAeTJjE9Ycm7DmNfGtEBoxSZLQm/UggzRnMP62ELvBg/BsEoYxNwdNWJi1QxQE4SpEMtMIFe3cCQYDKv+ar78jt7fHaeRInEaOxJiVRcG69eT/sYbkac8ht7PDYeBAHEeMwL5LZ2TKyz9eWy5tYVvSNl6OepmJLa4+M0ohVzC772w2Jmxk+s7pPL31aQY1GcSsXrMqDC7/5fQvzD48mzJTGQC+9r70DezLL6ctg3pDnMVVF6Hq8nX53Lf+PssTmQzF84/i/do8Dnz4AsO/Wo1MrkDSlVk1RkEQrk7cZmpkDBkZxI8Zi8LRkeBVvyNT103JdX1CAvl//EnBmjXoL15E4e6O421D2d/FhW/y/uBSoaWq84qRK6q8bEFeWR4PbHiAc3nncLVx5ftB3xPiEsKu5F1M/Wsqvfx7EekeiUqh4kzOGdbFWxY9ndV7FkOChtTauQqNz6yDs/jx1I+MDBmJl50XT7Z7knUPDsXt2CXcF36L3W9/UbxrNyEbN4hVsgWhBtXU+7dIZhqZtLffJn/VakLWr0NphUHUkiRRduIEBX/8wfnffuTRJy9fnXm+4/NMajmp2m8GX0Z/ydfHvgbgiXZPEOkRyUMbH7oiaTmbexZ7lT1+2pq5vSbcGtKK0xizagz9AvvxXo/3yl/PTD7P6btuR24w4jn1cUwzvyB43Vo0TZtaMVpBaFzqTZ0Zof4ojYkhd9GvuNxzj1USGbAs8mjburWl0F4R3L3VxHvtX8NB5cCBtAM39Kn28baPs3zEcpw0Tnxx9Ase+8tSn8bTtuLskuYuzUUiI1RLWnEaA5cPxEHtwAsdX6iwzcMvlBY/L0FlkpP6tWUGXOHGTbUSx8pzKxm3ZhwfHvgQs1T1ulyCIFiIZKYRyZ7/PeomTfB46klrhwKA76yPGHPcli4bEhnbbCzRGdE33Nc/g4P7BfTDYDagkClwUjvVXLDCLWnoiqEATOswDWcb5yu2ezQJJ/j7H1DIFQCc37OuxmM4mX2S1/e8jlqh5pfTv/DZ4c9q/BiC0NiJZKaRKI2JoXD9elzunoBMobB2OBhzcyk7dRqppARjdg4GswEnzc0lH0q5ks/7fc7nfT/Hx96Hu/68i6WxS2usmJ9w6/lp6E8A/HjqR+Lz4ytt49G6I63WrGdLX1eWB2XU6M+bwWzg3b3vEuwUzMIhC3kp6iUWnFzAotO1u8CrIDQ2IplpJAr/2gz8vdq1lZmKikkYN56cH35A4eaG06iRhDiHkFiYyOH0wzfdf7/AfqwYtYKRISN5Z987PL31aXLLcmsgcuFWE+wUzPiw8cRkxTDr4NVryDi7+ND61ZlsCC5gV/KuGzpWWZGBgpwSthzfxbebfubwxWjeePl72my8g+cjX0IhVzCxxUSGBw9n5oGZnMo+daOnJQi3HJHMNBJKN1cAymJjrRwJ5K9YgSExkaDfltN89y7su3RhZMhIIj0ieXTTo5zJOXPTx7BV2jKj6wxm953N0YyjjF41ukYSJeHWYqeyY0rrKQB42V97Udauvl3p5tuNF3a8QL4uv1rHOfhnPPOf38lPr+zj9Fd69L/5sm9mDn4FzXDQu9DOu01523/qI3naiYrDglBVIplpwIp27iL+9jtInPoYuYt+ReHmhsrf36ox6c6fJ/v770EurzDrw0Zpw3eDviPAMYC3975dY4Mc+wf2587md5JTlsOSM0tqpE/h1rI23rKG2Zq4NTy95WnmHZtHTGYMBrOBEkMJ6+PXozPpUMlVvN/jfUxmE0tiq/6zlnQmhwN/xNO6jx/KYamUDo3F695S4kMOAmBul4HWzr7CPjJkuNu619xJCkIjJ4rmNVCSJJH29tsYEhPRSGYkyYzfZ59WeWmB2mAuLeXC8BEoPT3xnzMHuZ1dhe22SlumR03ngQ0PsC5+HcOCh930Mc/lnuPHUz8yOnQ0r3R+5ab7E249D7R6gEj3SP648Af7U/ezJXELX0Z/ia3SFhuFDbm6XPxVnvTM9STVkEWZSxkHD67i4ciHK+1PkiT0ZSYKs8tIPJ3D4XUJ+Ie50GNcc3rJL1cRbt8kkj/eO41GLF4pCDdNJDMNlCk7G0NiIq733YfXyy9ZOxwAMmZZxhz4fjwL+6ioStt08u7EwCYDeWPPG3jYehDlE0WJoQSwXPKvjqzSLB7b/BhNHJswPWo6tsrKl1IQhOvp6N2Rjt4dAcguzeaPC38gSRLpJel0cW7LgqWvsNExHRds6ZvoSL9t8SSVfofXA/eistNQVmzgQnQm5w6mk3I+D7PRMkhYoZQTFOlO33vDkctlnE2J48CBU2RcKKQ4UcJWpeWe2/tXiKXEUIJKLhIcQagOkcw0QPl//knqazNQuLvj9tAUa4cDgC4+3nKry939qonMP2b2nMmTm5/kiS1PEOUdxfak7QDsmbAHB7VDlY5XYijhpR0vYTAZ+Kr/V9VOhAThatxs3ZgcMbn8ec6PP/HizyX4z/kChwEDkMxmzue8waoTwTBtN0q1HLNRwixJ+DV3ofPIYBxcbdC62ODma4/a1vJn9utVi9Cv80SOPXptKSo7E6H97HF1cq5wfLVCjd6sp9RYKhJ0Qagikcw0MDkLF5I+8wNsIiLwnfURSjc3a4eEZDSSOt1yi8f7tdeu216j0FimWB/5vHwtJYAFJxfwZLur18iRJIkiQxGpxam8tOMlUopS+Lzf59cduCkIN0PlbynEaNOiBQAyuZyQj97AdeoychRetO3hjr23C03buGPvpKm0D51Jx7l9GTTFGwDnVjIeve/KmYc6k46FJxfSzbebSGQEoRpEMtOAlB47RvrMDwAIWr6s3qwRU7B+A6XR0TT55WfsOnSo0j62SltejnqZqW2mYjAb+OnUTyw4sYDW7q3pE9DnivYlhhJe2/0amy5aKrCGOofy820/V3mdJ0G4Ufm/r0Lh4Y7i7w8OJp2O1TM2kKOwJNH2Jam06tXqmn1oFBp6jmpB0gLL88SCxErb/XTqJ5KKkvhqwFc1Fr8g3ArEbKYGpGCtpfpoyIb19SaRAcj+5hvsOnasciLzb04aJ9xt3Xm87eN08+vGk1ue5NFNj5aPowEwS2Ze3vkyu5J38WS7J3mz65ssHr5YJDJCrTNmZlK4cSPOo8cgt7HBmJtL9Oj7SSnQAtDGP4fA3hHX7KOkQI/JZGZUl8E4+dgQ5xrNYb+NlbZNKUoBEIUgBaGaxJWZBsS2XTtYuJCSo0dRN2li7XAAyF28GN3Zs3g+/9xN9aNWqPmsz2dsuriJ13e/zos7XmRM6BicNE4sjl3MtsRtzOk/h17+vWomcEGogqIdOwFwHD6c4n37SHrqaeyKi/GLMpGcrsAY3JqsPBU5MVmcPZBOs05eNI10p6RAT/yxTGL3p5F6Pp+Q9h74hDqTn1pGctOzDA4aXOnxprSewsG0g9yz9h5WjFqBt713XZ6uIDRYIplpQBwG9EfTogWpr76GbZs2Vl+9V3fhAmlvvgWA49ChN92fUq5kaNOhaBQaXt31avnAYIDpUdNFIiPUOVNhATI7O2zCmpO7bBnmggKC160l2Mufg38kkHAii5M7ksvbF+fpiDuSQey+NGQy8G/hikIlJ+5IJnFHMtG55ZHkfhpv+968s/cdXop6CbVCXb6/r9aXn2/7mdGrRvP+/vf5vO/n9eoqrCDUVyKZaUBkSiVBi3/lXK/e5C1ZavUp2fkrf0emUhG6dQtK95or8NUvsB87xu8guyybbYnb6O7XnQCHgBrrXxCqQjKbKd61u7xekk3z5gCYi4qxbaqix7hm9BjXjIKsUnJSivnzq+OknMuDc+DgasPtL3XA3kmDUW8iP7OU35KXMO/0bADe3/8+YFnpvZVHKxxUDhQaColwi8BJ40QT79GsKlBhPrqFOe37VxaeIAj/IpKZBsZcXIxco0EfX/mieHVKqUBuZ1ejicw/VAoV3vbe3BV+V433LQhVURodTfGuXSh9fQDQhIcjd3KicMN6bFtfHvDr6G6Lo7stE9/qwpm9qRxef5FmnTzLZzYp1Qrc/LRkJKZecYx3979b4fmk9u/xS6aCNFlvsIfl+RB+MZ0nmogZe4JwLSKZaUCyv/+BzP/9D0wmXO6919rhYBsZSfbceZQeP45tZKS1wxGEGmXbrh0AxpRUzCUlyO3scBo1kpyff0FmY4v71EcrrFDv7GVHl9EhdBkdUml/r3Z+lYcjH+ZMzhkS8hOQkOjg1QGFTMGF/As8EXOcT7ICkUmldFBfYn6Hvjx7NoPZF9MZ6elMoG3l074FQRDJTIOgT0wk54cF5C5ahNLHhyY//YjaymswASjdPQAwl5RaORJBqHkymQyP56aR+cmnxI+9neC1f+Lx1NPIVCqy5syhaMsWS4kEedUmhcpkMjztPPG087xi/FcLtxY8dckTJJjVzIN7ArsC8E2EHX0OnOHZM4ksaxuCXIyfEYRKianZ9VzRjh0kjBtP7qJFqAIDCfp1Ub1IZAypqaTOmIHCwx3b9u2sHY4g1Ar3hx7C95OP0SckkPbGmxRuWI+5qBgUCspOn8ZcUnL9TqpIJtfwZogv9wSGlr/moFTwUVgAu/OK2J9fXGPHEoTGRlyZqcdKDh0i6fEnUHp44PvRh2h79rR2SACY8vK49OAUjFlZ+P/vc+Rq9fV3EoQGyvG22zAXFpL25lvkLVt2+fXhw1FotTVyDLMkUWQy46BUXLGtl4tliY8DecV0da6Z4wlCYyOSmXqqNCaGSw9OwaZlSwK++RqFk5PVYpEkidKjR1H5+aF0cyN+3HiM6ekEzP0K+y5drBaXINQFmUyGy113IXdwQBd7luxvvrFsqMHCdsUmMwBa5ZUXy1VyGaF2Gj69mMZjgZ6o5OJWkyD8l0hm6iFDSgqJjz2GTXg4gQsXILexsVosZp2OxIcepuTAgQqvB3zzNfbdulkpKkGoe07DhmHo1IniffuQyeW43n9/jfVdaDQB4KC48soMwGfhgYw4co6VGbmM83atseMKQmMhkpl6pmDjRpKfehqVnx/+X86xaiIDlltdJQcOYN+9O8533E7JwUNIZhN211kZWxAaI5WnJ02XLqnxfgv/vjJT2W0mgOKicwA8dfoSQ+3TcXBoUeMxCEJDJpKZesSYmUnKy9NRN22K/5wvaqV+S3UUbt1K0tTHUAcF4f3Wm6j9/Wuk0q8gCBUVmyxXZuwUV95mKjXquOus5es7ZKs4cPBHNBofXJyjCA19CY1G1KARBJHM1BOF27aRNXcuMpWKoF8XoXB2tmo85pISkqY+BlhuKdWHGVSC0FiV/n1lxraSad65uiIA7nVM4MN208nIbE9h4QlSU1eQc/AgLcK/x91dLLoq3NpEMlMPFO3cSdKjU1H5+uL/v/9ZPZEBSH3zTQC833gddWCgdYMRhEZu6aUYwI7bD+5FK9NRZFahQscAbR5nDS4ocGdqSFvkcjXeXiPw9hqBRh3FufMP8/uqVxg44GOa1JPFZwXBGkSdmXqg9Nhx4O9BtZ2tOxbFrNeT8sqrFKxeg/tjj+E4dCiFW7aU19Mwl5Yi1eAsDkG41WVlbSEq+wV8pGQC5Vk0U2bR2y6NcBs9vxQ2ZVeZN3c7JBDsHFRhv5gTn6LX22E29eDHH39k06ZNnD9/vsLvp9lsJi0plbMnY8nNzMFUbEAyi99fofERV2bqAZW/HwD6S5fQhIZep3Xt0sXGkr9iBZqwMFR+fpzvPwBzsaVYl8LJCVNREfY9uhPw5ZfIlOLHRxBuhiRJHDv+EN7Anq5tsbX1q7BdbywjqywHL7uKy4WUlqZjY3MGheJBHnjgcTZt2sTRo0fZvXs39vb2BAUFYdAbOHvubIX97i7rgdbOHpW/AwqtCrlWjdxeSW6xEZuWrrj6aFFpKh+ELAj1mXg3qgcMlxIBsAkLs3IkULxnL2BJalJfew3H4cNxvfceCjZsoPTYMUqPHad4x05MhYUoXVysHK0gNGwymQyZTIkkGQHzFdvVSht8tb5XvL5r9xvI5RASPASlUsnQoUMZMmQIFy9e5Pz581y6dIlLly4B4KC2J6JpOE62Dvg2bYEptRRDRgnG7DJMFwswZZehAP5cE0+pZFnx29nLFmdPOxzcbfEIdMAn2AmFSlzIF+ovkcxYmaTXk71gAeqmTVH6XvlHq67pL1wAwCYiAm3vXrg/8QQyuRzbyEjMJSWcHzwYbbduIpERhBrSu1c0u3Z3JSVlKSEhz123vdlsRi7fBEBAQPvy12UyGUFBQQQFBQFw5vdDLD+6Dle5A4PuHIb8n4J8bS73ZTSYOPnJYVxyyxjwWGuKC43kphWTn1FK8rk88nanYDZabku16OZDv0liSrhQP4lkxookvZ6s775DKinBd9YsZPVgETmfD2biNWMGCq39FdsyPvkUc14+Hk89ZYXIBKFxUihscXXpQX7B0Sq137z5J+QKcHF58Zrtwkd3ZKSDxIqdfxK7K4YWfdpU2F6aU0rCJ4dxM0noItwJae1xRR+SWSI1Lp+Vnxwh41Jh1U9KEOqYuG5oRWnvvEPW/77AvncvbCJaWjscwPLprrJEJnfpUnJ/+QWvV6aj8vOrZE9BEG6UXK5Gkq68zVSZ/HzL7SON2q38NYPBUGnbolxLApKXmY3ZbKYkv6h8W8bhDBxMEiUuNoRMqvzvj0wuw7eZMyHtPVGpxduFUH+JKzNWpPT2BrAMpq0HV2WupjQmhrR33sV5wl24TJhg7XAEodGRyzWYTEXXbwiMHj2dzZsXk5j4Biq1I3JZMEuXLiUyMpJhw4ZV+Fti42AHwF8ndnEo5gjZ8iI8VS7c9+QUAgcEcmpLIo45pWQcTcez3dWL7/mHu7Bj8Vn0ZUbUNuJtQ6h/RKptRZrmzQHIW/5bvZ3uLBkMpL7+BppmoXi/8oq1wxGERsugz8VstlxhMZnKSE5ZQk7O7ivaKZVKWrf+EZPZhXPnnueXX37B2dmZQ4cOkZSUVKFt+8FdePn5l+gY2BpHrSM9AjqQYcjlyJ97kMlkKJs6IpPJKIkvuGZsPiFOSGaJjIviVpNQP4lkxorsu3ZD7uBA2ptvUrL/wPV3sILsHxagi43F5623kalU1g5HEBolV9fu6PTpHD48DqOxkIuXvuXMmVc4Gj2JjIwNV7T39e2As1MoNjbFtG8fzMMPP4xGo+HUqVNXtLXR2jL0wTFMfvFhOo/oCUBcykVipu9EE5dHMRAwrOk143PxsUfromH/qgvoS401cs6CUJNEMmNNRgMqHx9UgYHYtm5l7WiuYEhLI2vOHFzvvadexicIjYWX13Datf2ZgsLjnD7zCklJP+LlORwAvT6zQltJkohP+JIy3U4ctL0YNmwCSqWSTp06sXfvXk6fPl3e1mAwsHv3bor/rhXl4OmMBhUZBZm4SJBqkFDdFoxCc+1bR3K5jMEPtyIntZgVHx8hLT6/hr8DgnBzRDJjJZLRSPLzL2DMyCDgyznI7a8cdGttcltb5FotxXv3IRnFpzFBqE3Ozp2wt29GRsY67GybEBLyPBq1F5cuzScu7mNy8w6SlraKLVtDuXDhU/z97qVDh6+Qyy2JSP/+/WnZsiUrVqwgPT0dgN27d7Np0yYWLVpEYWEhO3bsQC8zEu7bjLRwN+K0arb8HkfsvtTr3ur2burEmOfaIZPDbx8dZsvPpykrrnzgsSDUNZlUXwdrVENBQQFOTk7k5+fj6Oho7XCqJOfnX0h/7z0CvvkGbc8e1g6nUpIkET96DObCQkI2bUSmEJVBBaE2mc1GJEmPQmEZuFtUFMvFi1+TnbMTgyGnvF3ToKcIDn76iv31ej3z589Hp9Mxfvx45s+fT2BgIImJiRgMBuRyOW3atGHAgAHY29tTVmxg55KznD2Qjm8zZ4Ii3TGbzLj5aQmMcEMutwwmjj9+nsKsHCL7RWEymVn67q+kntmASmNm5HPP06R12zr5/giNT029f4tkxgrMZWXEDRqMXefO+M36yNrhXFXB+vUkP/MsAd9+W28TLkG4FUiSiYLCE2Rn70Cvz6B5szfKr8j8V15eHt988w0lJSXY2tryzDPPEB8fz+LFi4mKiuK22267Yp/EUzns/u08BdmlmI0plORsRa7Q037o3ahslOxZ8hkg4eLXnqLsRAxlmdg6heLipSEj/hxTv/sFtY1tLX8XhMaopt6/xRw7Kyg7fRpjRgYO/fpaO5SrMhcXk/HRLLR9+ohERhCsTCZT4OTYBifHNtdt6+zszPjx4/n5558ZPnw4Go2G8PBw7r//ftzc3Crdx9Fdj539X7j7OHFi2184unuhK1ZzcNX/ALB3DcNW60rWpQNo3cNpP2wS3W7vTfqFcyx67TnS484REBFZad+CUBdEMmMFBX+uReHsjLZPH2uHUilDRgapL7+MMTeXwOkvWzscQRCqqUmTJrz88sso/nVruEmTJldtv+OXBVyKOYZSrabDbaPoesfdKFQqVn82n9L8Au547SmUKiWS2YxMfnmopVdwKB5NmrL5+3lMeGcWGrv6N/ZPuDWIZKaOmfLzyfvtN9zuvx+5bf28LJv0xJOUHT+O/5wvUF/jD6AgCPWXohpj3Ery8wjuEMVtT1RcG2rUtCkVnv87kQGQKxQMe+pFfp3xPNt+nM/gR8VSJ4J1iGSmjhWsXYtUWop9t67WDqVSkiRhLvq7EqkY8CsIjZ7JaERXUozWXPktqGtJ2PQLMet+Q1eip+DcwVqITqgPJElCMkvIFfV3AnS1kpm5c+cyd+5cEhISAIiIiOD1119n6NChAKSlpfHCCy+wadMmCgsLCQsL49VXX+X222+/Zr9ffvkls2bNIi0tjTZt2vDFF18QFRV1Y2dUj0mSRPaCBQBowuvn6rMymQxtzx7kXLiA0v3KhecEQWhcZk8cDUCvu++rUvsDsx5i56FUHNQGCvUqPLVGIp0zCbVLhvgdENQT6vHyLLcySZLQlRgpytVRlFtW/m9xro7CXB3FeTpKC/WYTZbkxWy2/PvPNKEedzajTf8A657EVVQrmfH39+eDDz6gWbNmSJLEwoULGTVqFEePHiUiIoJJkyaRl5fH6tWrcXd3Z9GiRYwbN45Dhw7Rrl27SvtcsmQJ06ZNY968eXTu3JnZs2czePBgYmNj8fT0rJGTrC/ylizFcPES3m+/VelijvVBWWwsOT/9jMezz4pCeYJwC9DY2aMrKaZJm/bXbVuScYmdh1IBCG0egKe/LxGTXkeWfQ5WPAQLR4BLEPh1AP8o6HAfqGxq9wQEAMxmieI8HWVFBoryLIlJcZ6OopwyivJ05YmLUX95QVOZXIa9kxqtiwatiw3uAVrsHNTIFTJkchlyueXfizFZJMRk4xGoteIZXttNT812dXVl1qxZPPjgg2i1WubOncu9995bvt3NzY0PP/yQKVOmVLp/586d6dSpE3PmzAHAbDYTEBDAk08+ycsvV23waUOYmi0ZDJzt0ROliwvBa1bX26UBLj3wAPrkZEL++KPexigIQs1JOHaE395/nXtmzsYrOPTKBpKEoSCTnJjtbFzwPQUlEnc88She3UZXbGc2Q8JOOL0aUo9D8iFodQeM/UZcqblJZpOZ4ny9JTn5+wpKUa4lSSnOtbxWmFNWYZ9/Jyr2zjZoXTVonS1Jyz/Ji52j6rq3jkqL9Pzyxj6CWrsz4L7KV1e/GVafmm0ymVi2bBnFxcV07WoZ/9GtWzeWLFnCsGHDcHZ2ZunSpZSVldHnKrN29Ho9hw8fZvr06eWvyeVyBgwYwN69e696bJ1Oh06nK39eUHDtRdLqg/zVqzHn5+P73bf1NknI+elnivfsxWv6y/U2RkEQapZ/y9Zo7Ow5vWtbpcnM9hl3cuic5Y1SKYOR995xZSIDIJdDcG/LA+DEb7D8AfBpA92eqMUzaPiMBhMZCYWXb/2UJyllFOfpKCnQ8+/LDkqVHHsXDVoXDY7utvg0cyY5NpegSHcCW7pi76zB1kFdXvTwZuz7/QKSGbqNrSTRrUeqnczExMTQtWtXysrK0Gq1rFy5kpYtLdna0qVLGT9+PG5ubiiVSuzs7Fi5ciWhoZV/E7KysjCZTHh5VVx63svLizNnzlw1hpkzZ/LWW29VN3SrKd6zh9QZr6MJD8emVf28dWNIzyBzzhxsO3TAZcIEa4cjCEIdUSiV6EqKuRQTjdlsQiaTI/v7Skp+3DGOnCuhRRMtTdu2o2nv0dj4VXG8X6vbIfUYbJoBXhEQUn/ralmTrsTA6s+jy1ckV9so0LraYO+ssVRibuVW4YqKvbMGjZ2y/P+oNmVcLODU7hR6jmuOnaO61o93M6qdzISFhREdHU1+fj7Lly9n8uTJbN++nZYtWzJjxgzy8vL466+/cHd35/fff2fcuHHs3LmT1q1b11jQ06dPZ9q0aeXPCwoKCAion4OSSmNiSHzkUWxat8J/9uw6+QGsLkmSSJ3xGjK1Cv85XyBT1+8fWkEQao6+tBSAzEsJfDZhFGpbO7yahjDk8Wkc+P5DNEozA1/5HJWzT/U77/+G5ZbTykfhwY3gIko9/JskSSx57yCF2WX0mxROSDtP1Lb1Y5KxZJbYsfgsbr72tOrla+1wrqva3zW1Wl1+paVDhw4cPHiQzz//nBdffJE5c+Zw4sQJIiIiAGjTpg07d+7kyy+/ZN68eVf05e7ujkKhKF8U7R/p6el4e3tfNQaNRoNGo6lu6HWu7MwZEh9+BHVoKAHz5qF0cbF2SJXKW7yY4h078Z83t97GKAhC7VDb2nLnjPdJOXua3NRkXH39Obx2FX99O4dLcXl0CZXfWCIDIFfA6K/gh6Hw3QCYvAY8w2v2BBqw+GNZFGZbbuH5h7vWm0QG4My+NNLjCxg9rV29npL9j5v+zpnNZnQ6HSUlJYBlzMu/KRQKzGZzZbuiVqvp0KEDmzdvZvTo0eX9bd68mSeeaNj3WMtOneLivZNQNQms14lMWexZ0j/4EOcJd+FQTysSC4JQe2QyGYGtIglsdXk5AqVazbYfvwPk+OuPgaEUVDdY5NPRF6ZshoUj4fvB0H6S5eHerGZOoAE7tjkRV197eo5vjoNr/Zn1pSs1snfleZp19MSvef187/qvaiUz06dPZ+jQoQQGBlJYWMiiRYvYtm0bGzZsIDw8nNDQUB555BE+/vhj3Nzc+P3339m0aRN//PFHeR/9+/dnzJgx5cnKtGnTmDx5Mh07diQqKorZs2dTXFzM/fffX7NnWodKY05w6YEHUPn7E/jNNyjd3a0dUqWMWVkkP/UU6qAgvF56ydrhCIJQT7QbOgJHN3f0R5fil7bTkoiMW2hJTG6EvTtMWgU7P4ajP8Ge/4F/J2g+BJoPBq9WtT7jSVdq5NzBdEoL9RVel8nA3lmDe4ADrj72KJQ1exVCMktkJhZy6WQ2WUnF2DurCWrljm8zZ0qLDAS0cME/rH4lDAf/iMegM9Ht9vo96PffqpXMZGRkMGnSJFJTU3FyciIyMpINGzYwcOBAANauXcvLL7/MiBEjKCoqIjQ0lIULF1ZYpTUuLo6srKzy5+PHjyczM5PXX3+dtLQ02rZty/r1668YFNwQSJJE3vLlpL8/E02zZgR+Px+Ftn7Oy9cnJnLpwSlIpaU0+eZr5Db151OBIAjWJZcraNalB3TpARfvssxKmt0awoZC1ycgsEv1O9V6wNAPYcBbcOYPOLkSdn0GW94B79bQ60VoMaLGk5rctGJitiZxZl8aJoMZGwcV/D0zSAKQJEoLDQDIlTJcfewJjHCj6+iQGz5mSYGexFPZXDyZQ+LpHMqKDKhsFHg2cSQ9Pp/jW5LQ2CvRFRtp0qr6lZdrU06K5fsVNbIpWpeG875w03Vm6oP6Umcm5+dfSH/3XZzuuB3v6dOR29fPwni68+e5eP/9KOzsCZg/H7W/n7VDEgShPsuJh+NL4dTvlq97vwBtJ4LD1cc2VolRDxe2wb4vLf+G9INhn4Jr05vqVjJLXDyZzfGtSSSeysHWQUVELz9a9fTD3vnK8Zb6MiPZSUVkJRVxZm8qeeklTPms1w1N2LgQncnG705iMprxCHQgsKUrgRGueAU7oVDILZXgk4s5tSuFnNQiuowKwTvY6abOt6ZIksTqz6MpzC5jwuudUahqf6xMTb1/i2SmpmLYtInkJ5/C5d578X71FavEUBWSyUT86NEgkxP4w/co3erXpwJBEOoxXSGsehxi14FCDY/tA+camkl6dgP8+RwUZ0HP56D7U6Cs3kQPo8HE6d2pHNucSH5mKZ5NHIjs609oB68qvzFvnH+Sopwyxr7QofqncCCNvxacJritO73uCqv305n/K+5oBuu/PsGwxyMJal03wyOsXjRPuKxoxw6Sn3wKbf/+eL0y/fo7WFH+76vQnTtP0LJlIpERBKF6NA4w7kcoSIHPIuD4Yuj1Qs303XwwNOkOf70JW9+19D30QwgdcN1dDToTJ3cmc3TjJUoL9YR08GTA/S3xaupY7asr2clF+IQ6Vzv8kzuT2bYolvAu3vS9J7xBzAD6N6PexO5l52nS2q3OEpmaJJKZm1S0YweJUx9DHRKC9+sz6mUdmX+YiorI+OwzHG8bKtZdEgThxjn6WmYkHfoBej5fc+NcNFoY9jF0fADWPg8/3w7NBsGoryxjbv5DV2okZmsSxzYnoi81EtbVm/aDm+DsaXdDhzcZzeSllRDQ0pVLp7IpKzZQVvT3o9iIrsSA2XR5AcZ//jXqzaScyyOyrz897myGrAYq79a149uSKM7TMfLpttYO5YaIZOYmGJKTSXz4Eew6dSLwh++RKev3t7Nww0ZMWVl4vlBDn6QEQbh1hQ2Dwwsg5wK43fhg2Up5tYT7/rQMFP7jWZg/EB7aAnaugGW9oONbkji+NQmTwUzL7j60HRSIo9sNTh//W2mhHrNZ4thfiRz7KxEAhVKOjb0SG60KjZ0KhfLyIoxyuQy5Uo7aRkmPO5sR2c+/Xn+gvRp9mZEjGy7Soocvzl43lghaW/1+963HTIWFxN91FwDuTz5R7xMZgPyVK7Ht0AGVzw0WwBIEQfiH+9/TdrPjaj6ZAcvVnhYjLDOdvukLyx+geOj3RO/I4cSOZJAkInr50W5AYKWDem+EvbOGca90AkBjr8RWq0apljfIBKU6zuxNQ19qosOQhluhuf6/A9czZr2e5KeepmjbNlAq8X7nbew6dbJ2WNdVcvgwJYcO4ff559YORRCExsClKdi6QGo0NB9Ui8cJgju+58K377Nuz1HUNkra9PWnTf8AbB1qdoCtTCbDI9ChRvus7ySzxPEtiYS096hXhfuqSyQz1SAZDCQ/+RRF27cDEDh/Pvado6wcVdVkfPwJAJJehyRJjf6ThiAItaw4yzK76e9bP7UqpC8lTc/BURl3v9kZe+eG+6Zb3yScyCY/s5QBD7S0dig3pWENt7aytHffo2j7dgK+/ZbwkycaTCIjSRKG1FQAUl54kdSXp2PMzLRyVIIgNGixf4LZCC1G1snhvCKCACiIT6iT490KJEni6MaLeDV1xLtp/ah1c6NEMlNF5pIS8pYvx3H4cLQ9eyBTKKrfh05XC5Fdn0wmI+TPPwj+8w+833yD/FWrSBh/F42gxJAgCNbiEmT5d9PrUJRR64dzi2yHEh1pMedr/Vi3ivOHM0g9n0+n4TdXpLA+EMlMFSXcNQEA96mPVms/Q0oK6TNncr5ff2LbtCVh4j0Yc3NrI8RrktvbowkJwb5HT1AqsW3bVtxqEgThxgX3geGfwalV8GlL+O0hS0XfWiJ39MDTLon0hIJaO8atRF9mZPeycwS39aBJRMOvOSbGzFSR7uxZtL17owmp+qh9c2kpF++dhCE5Gdu2bTGkpFB6+DCGpGSrraKdu2gRMoUC77ffssrxBUFoRDo+ABFjYN9c2P4hyJUQEGUpdFdTlYH/xctTz7nkhlfQrT46+Ec8uhIj3e9sOItJXou4MnMdktlM6ptvAmATEVGtfbO+/hpjRgbBa9cSuHABALZt21qtYJ0kSRRu2IDjiOH1dgFMQRAaGFsXS+E8gGOL4I9n4H/tIPnI5TYlOWAy3PShvIJdKDI4UZSZd9N93crijmRwbHMiHYcF3XRtnvpCXJm5juxvviVv8RI8nnkGpYcH2d99h/Mdd6Bwdq60vamoiKwvvgBk5PzyC+6PPIK6SSDxo8cAUBodjamoGIW27hehLPzrLwzJyTiNqJsBe4Ig3CKUasuyBp4tIKAL/DgKVj8J3Z6E4kzY/hE4+cM9v1mqB98g7zbhsCWP9KMn0A7qUYMn0DhIkkTmpUI0dkqcPK4sfmc2Sxz6M56DaxNo1tGLdoMabl2Z/xLJzHXYRLREplKR9dVXSHo9KBRkfPIpSh9vNEFB6C8lgiSh9PJC6eZKyaHDmP4eE2Pfsyfujz6CTKFA06wZunPnAJDb132FxbLTp0l++hm0ffpgF1X/6+IIgtDA9Hvt8tfDP4Wf74CVj4BMDu7NIeMUnFoNXao37vDf7EMj0SpWkH5GIqQWS9s0VCe2J7Nj8Vlkchmt+/jRopsPTh52mIxmMi4WcHTjJZJic+k8oikdhgQ1yGUXrkYkM9eh7dmT0G1byfryS+w6dsSuUycKN2/GkJyC7tw57Ht0R6HVYszMxJiTi8LZGZcJEyhYvx7/OV8gU6kAcH3wAQrWrsW2QwerDLxNfW0GMhuber9+lCAIjUDTXjDd8kGvfOXrt1xAXv1ZoBUolHg5ZZOefOOrKzdWeekl7PntPM06eeHibcexzYkc35JUoY2Thy0jn2pLQIs6qA1Ux0QyUwVKNze8X3+9/LnL38sYXIvHU09WeF5y4CAAznfecUMxFGzaRMbHH2Mb0QrHYbdh37MncnXVql8W7d5N2cmT+M/9CpXvjV/iFQRBqDLlf5YY8G0Hx36FqIduqltvfyX7Y9wwG03IlTeZHDUSZpOZvxacwt5ZQ997wlFpFLQdGEjmxUIKc8qQK2S4+tjj6mvfaD/MigHAdcSYng6AOjCwWvtJkkTOjz+R/MyzqLx90J0/T9LjT3CuW3dSXnqZoh07kAzXHliX+fn/sG3XDm2fPjcaviAIws2JehiSD0PqsZvqxivcH6OkJjv2Qg0F1vAd2XiJjIQCBtzfEpXGkuCp1Ap8mzkT1tmbZh29cPPTNtpEBkQyU2cMaWnIVCpsWlavZHT6zJmkv/8+LnfdReD38wlevYrgP9bgOmkSpcePk/jwI5zr0ZPUGTMo3rMHyWissL/u3DnKjh/H5e67G/UPsiAI9VzLUeAUCN8Pgf3fwLlNYDJef7//8GjXHjlG0o+fqYUgG57MS4UcXBNP+8FN8A5u2FV8b4a4zVRHFA4OoFCUj6GpqpJDh7Bp2RLvGZcH12lCQ/F46kncn3wCXWwsBWvXUbBuHXnLlqNwc8Nx8CAchw7FtkMHsr79FqWXF46DxWg5QRCsSG0Hk1fBsvtg/csgmSC4L9y91DIbqoqULl6426SQdkGBdYpc1B8mo+X2kouvfaOo4nszRDJTyySDAV1cHHnLlqEd0L9ayyAUbt2K7tTpq650LZPJsAkPxyY8HI9nn6HsxEkK1q6lYP16chf9Wt7O+623kFVxfI0gCEKtcQ2GR3ZYBgbHLIMVD0HcZggbWq1uvDzKSMxo+FVrb1bK+TxyUoq5/cUOKJS39o0WkczUInNpKfF33Ik+Lu7vF6q+FpIxK4u0t97GvltXHAYNvG57mUyGbetW2LZuhecLz1MafYyCdeuQDHqcx915o6cgCIJQ82Qy4O/b3k7VrxTs1dSJmEQ3yvIKsHG+dWc2XTiaia2jGq+gW/d78A+RzNSirK/mXk5kgKItW5D0+uteJTGkpJD09DNIRiM+M2dWe6yLTC7Hrn077Nq3u6G4BUEQal1IP1Co4eJu8K7eDSOvNmGwI4/0I8dp0u/WLJ5n0Js4sy+NdgMCGlW9mBt1a1+XqmUyjWVqom2HDqh8fQlcuPC6iUzGp58RN3gIxuwsAuZ+hcrLqy5CFQRBqFv2bmDnBiXZ1d7VKaw1NvJC0s8k1kJgDcPFmGyMOhPNO3tbO5R6QSQztUjbuzf2PXqgdHPDmJNDwfp112xftHMX2d98g+t99xH8++/Ytm5dR5EKgiDUMaMOdIWWqzPVJFOq8HLMJD3x5td7aoj0ZUb2/h6HbzNnnD3rvqJ8fSSSmVpk27oVgd99i///Psf1nonk/boYfVJypW3NZWWkvfMOdp074zHtWRSO4h6oIAiN2KHvQV9smbJ9A7z95KTnuyCZzDUcWP13eP1FSgr09L033Nqh1BsimakjTmPHovTw4OLdd1MWG3vF9pyffsKQmor3G6+LejCCIDRuRp1lejYSKG1uqAuvMF90Znvy/jUu8VZgMpqJ3ZtKeGdvcVXmX0QyU0c0wcEELV+OXKsl+bnnAEt1X/2lS5QcOUr2N9/iPGYMmuBgK0cqCIJQyxRq6PqE5et53SHtRLW78GzXFjCTfux0jYZW3507lE5xvp5WffysHUq9IpKZOmTKzsKQloZNi5ZIkkTKSy8RN2gwF+++G4WrCx5PP2XtEAVBEGqfTAaD34OXLoLWC9a+AGZTtbrQeHjjos4g7XxOLQVZ/0iSxPEtSQS0dMXNV2vtcOoVkczUAX1iIsnTniN+7O2o/XzxfuN1Eh99lILVa7Dt2BH/b76h6bJlKN1EEShBEG4hts4w6D24tAfm9YAzf1oK6lWRt0cJ6Rm3TkHQiyeyybxUSIfBTawdSr0jkpk6kPTYYxSsXYvXq6/iM+tj4gYNpnj7DhRubpQeOoRUVCgG/AqCcGtqPgimbAZ7D1h8N+yuvOJ5ObMJDKVQlo+Xv4rsUk8MRUV1E6uVxe5Pw81Pi1+Yi7VDqXdE0bw6oA4KQm5njyowgIvjxiHp9bg9NhXPp57i4r2TyJzzJfY9e1rWbxIEQbjV+HeEyath89vw1xuwby7IFZbExWwAkwFMestDujx7ycvQBInZZJ46j29UW+vFXwdMJjMJx7PoMDTI2qHUSyKZqWVlZ89SuG07mEwkPfIoyOX4fzkHh/79AfB+600S7ppA0uNPELjgB2RycbFMEIRbVN/XwCUIClIsiYxcCQqlZcCwQg0KVYWvXWVqlHMhLdcZX2vHXssMpSaMejMu3mIGU2VEMlOLJEki4e6JYLAUdlL5+9Nk0S+oPD3L22iCg/F5+y2Sn3mW/N9X4Tx2jLXCFQRBsC65HNpPqnpzwCv4COnxhbUXUz1RmFMGgK321hkjVB3iMkAtKjtxAunve7meL71E6F+bKiQy/9D26oVMpSL1lVcoOXy4rsMUBEFosLyaOpF2IR+pGgOHG6K4IxmoNAq8morxlZURyUwtSrhzHABNlizG7f77rtpObmeH12uvAXBx4j0UbtlSF+EJgiA0eN5NHSkp0FOUq7N2KLUmL72EY1sSiejlh0Ip3rYrI74rtSjg228BkKtU123rPO5Omq5eBUDWvK9rNS5BEITGwqupEwBpF/KtHEnt2b/mArZaNZ1uC7J2KPWWSGZqkV1UJ5Te3mTNnXfdtjKZDJlCAYA6IKC2QxMEQWgU7BzVOLjakHGxcY6bMZvMJJ7KIayLN2pbMcz1akQyU4vkGg2e056lcNMmig8cuG57U77lk0Xxgf0Y0tNrOzxBEIRGwbOJAxkJBdYOo1akxxegKzHSpLUoqnotIpmpZY7Dh2MTGUn6Bx8gma5drtu2TRs8pk3DlJlFwvi7Gv2ANkEQhJrgGeRI5qVCJHPj+5spU1gWHs7PKLVyJPWbSGZqmUwux2v6y+hOnSb/91XXbqtQ4DblQZQeHigctJj/vlJjzMlBf/FiXYQrCILQ4Hg0ccCgM5GbXmLtUGqcd1MnQtp7sH/VBfEB9xpEMlMH7Nq1w/G228iY/RmmouJrttVfuIAxMxPdufMkPfU0xsxM0j/4gLjBQzCXldVRxIIgCA2HZ6ClenrmxcZ5q6lVLz8Kc8rITr72+8etTCQzdcTzuWmYCwrJ/nuG09WoQ0Jwun0sACUHDnCuZy8KVq+xbJTJajtMQRCEBkdjp8LZy470RjoI2NnLHoCiXPGB9mpEMlNHVH5+uD5wPzk//IA+Kfmq7WQyGb7vvUfo1i243ncfjiNGlG+TazR1EaogCEKD4xHo0GivzIC4vXQ9IpmpQ+5TpqBwciLz00+u21bl44PXyy/hN+sjFM7O2LZrVwcRCoIgNExeQY5kJhZhMpmv37iB+WfauauPvZUjqb9EMlOH5Pb2eDz7LAVr11Fy5GiV9pEkCVNeHnI7sbiYIAjC1Xg0ccBkMJOb2vjGlZzek4qrrz0ObjbWDqXeEslMHZIkCX18PADGjIwq7WPKzrZ8oRD/VYIgCFfj7q8FICelcSUzF6IzSTieRbuBgcjEuMmrqtY75Ny5c4mMjMTR0RFHR0e6du3KunXrAEhISLBUsa3ksWzZsqv2ed99913RfsiQITd3VvVU3pIlZH/7Le5PPIHjkMFV2kfp7o7D4MGUHY8pL6onCIIgVKRUWyqom4yN5zZTdnIRfy04RXBbD8K6eFs7nHqtWsmMv78/H3zwAYcPH+bQoUP069ePUaNGcfLkSQICAkhNTa3weOutt9BqtQwdOvSa/Q4ZMqTCfr/++utNnVR9VLx3L+nvz8R53Dg8nni8Wvt6PPM0prw8Lt5zL+ZSUThJEAThv+RyGcjAbGocg2VNJjMb559E66yh/+QW4qrMdVRroYcR/5pZA/Dee+8xd+5c9u3bR0REBN7eFTPHlStXMm7cOLRa7TX71Wg0V+zbmJTFxpL4+BPYdeyI12uvVnt/dVAQALpz59DHx2PTsmUNRygIgtDwyeWyRpPMxGxNIje1mDundxJrMlXBDQ/EMJlMLF68mOLiYrp27XrF9sOHDxMdHc2DDz543b62bduGp6cnYWFhTJ06lex/xolchU6no6CgoMKjPjv6zUYS3LrhP+cL5Gp1tff/d0ZuzMmtydAEQRAaDbmicSQzxfk6DvwRT0QvPzz+LggoXFu1072YmBi6du1KWVkZWq2WlStX0rKSKwXz58+nRYsWdOvW7Zr9DRkyhLFjx9K0aVPi4uJ45ZVXGDp0KHv37kXx9yrS/zVz5kzeeuut6oZuFWaTmSPFERASwdZ3fqf/zLvLt+lyC0ncHE3q8UTKdNDv3XEoVBX/SzI++YTCjZsAcJk4EW2P7nUavyAIQkPRWK7M7Ft1AYVSTueRwdYOpcGodjITFhZGdHQ0+fn5LF++nMmTJ7N9+/YKCU1paSmLFi1ixowZ1+3vrrvuKv+6devWREZGEhISwrZt2+jfv3+l+0yfPp1p06aVPy8oKCAgIKC6p1Injm1OAhn4OhRxJteb5ttjCOjdmsxDZ1j6XcrfrSy32Jr8cYjmY7qU7yuZTGT/sACMRhyHD8f90Ufq/gQEQRAaCLlCjtncsAcA60oMnDuYTtTwptjYq6wdToNR7dtMarWa0NBQOnTowMyZM2nTpg2ff/55hTbLly+npKSESZMmVTug4OBg3N3dOX/+/FXbaDSa8hlV/zzqo4KsUg6suUCbvgGMfGcIdvocVi9KZ9PLv7JinuX8wh2TmDyjNUpDMZeiUyvsL1MowGTCafRo/D6ehdLDwxqnIQiC0CA0httMJ3emIEmSmL1UTTddvMRsNqPT6Sq8Nn/+fEaOHInHDbz5JiUlkZ2djY+Pz82GZnXnD2dgliSiRjZFoVEz9MFmqMxlnM3zwqi0I9Qpg/4fTaL4bAJGlT2O3hXvjUqShNzREWNmppXOQBAEoeFo6MmMyWDm2OZEwjt7Y+8klq+pjmrdZpo+fTpDhw4lMDCQwsJCFi1axLZt29iwYUN5m/Pnz7Njxw7Wrl1baR/h4eHMnDmTMWPGUFRUxFtvvcXtt9+Ot7c3cXFxvPjii4SGhjJ4cNXqsNRXkiQRuz+Npq3dUdtYvs3e3dtwX+tQUvecwrm5P07B/QCQOTgChcRHZ+C+Zi1+XaPQuLsjk8lwHDSQ/D/+RDKbkclF4TxBEISrkcllmM0NN5nJuFhASYGeiF5+1g6lwanWu2NGRgaTJk0iLCyM/v37c/DgQTZs2MDAgQPL23z//ff4+/szaNCgSvuIjY0l/+/ibwqFguPHjzNy5EiaN2/Ogw8+SIcOHdi5cyeaBr6oYuKpHHJSiq/4oVQ72tNkSCecgi9fefLsGMaA/irSDbms/PkrtrxjGWtUuHUrecuWI9faI5WJ1VIFQRCuRSaXITXgZKY4Xw+Ao7utlSNpeKp1ZWb+/PnXbfP+++/z/vvvX3W7JF3+QbO1ta1wVaexKM7TsWvZOXxCnPAPd6nSPiGjumFY8RUAcSmXSP/6a3I+m422Xz983ntXrM0kCIJwHfIGnsykxedj76xBYyfqylSXuG9Rw0oK9Kz4+DD6MhO9J4Zdt2qjyWAZeW8ymcFcglymQCeXsXjT79jeMxH/OV+gdKlaQiQIgnArk8lAasCTmRJP5RDY0lVU+70BIv2rQdnJRSx+5wBqWyXjX+103UuF6+ct4dT2FXg364KLjy9gosv4Z4ndvpS8jDR8n39OjJMRBEGoIplchllquFdmCrLLaNGt4U9+sQaRzNSgiycslYsDWrhcN5Exm82c2rYMSSojNXYzqbGgsnHHO9iVPYuTue3J51HbiPumgiAIVdWQx8xkXCzAqDNh79ywx4tai0hmalD7wU3ITSvm/OEMDq9PoHUf//KZTP8ll8vRuodQmBVLp5FTcPJ0Ibh9OCvefx3fsJaEd+9dx9ELgiA0bA11zIwkSexadg5XX3tC2ol6YjdCJDM1rOf45qjUCg78EU/0pkTaDgyoNKkx6AwU5ybj7BVBr7uHA3B0/Rqyki5xz/ufiXumgiAI1WQZM9PwkpnovxJJPZ/PiCfbIFeIoQU3QiQzNUxto6TXhDDaDW7CkQ0Xr5rUZCdnYjbmERo1DrBk5gfXrKBF9954BYda8xQEQRAaJMuYGWtHUT05KcXsWxlH24GBBEa4WTucBkskM7XEwdWG3hPCaH+VpCY/IwsAV19LHRrJbKYwKxOfZmHWDFsQBKHBami3mSRJYvuvsTi429BFLCp5U0QyU8sqS2oOrztOYdo3ADRt2+z/7d13eFRV+sDx752aPukdSAIhQCgJRXqRXgRcVNYGrL27uuoqu65lV+y6rq6iv10Uy9oQUBQB6R2k1xCSkEZ6nySTzGRmzu+PgUBIIUiSSeB8nicPM3fu3HnnMDP3vacCUJiZDoBvaPtcMFOSJKm962gdgFMPFZKdVMr0R/uh1srmpcshk5k2cjap6TuxM4+t3EhB6TRUNhvlO3dxk78n2xZ/hFdAECHR3Z0dqiRJUoekqDpWnxmrxQaAf7jnRfaULkYmM23M5qllTadQ6BSKu83KXrWGJZl5PBfWmSn3PYLOVc70K0mS9FsoioK9A02ad7YPpd3WgYJup2S9Vhvz12m4wcMDzfFSqnMdq42P8vVi9vwX8PKXQ/IkSZJ+K5VKqbNkTntXmm9Co1PJFbJbgKyZaWN7DqawcmkiGsBeoWN47yAWxsU5OyxJkqQOr6P1mclMKME3xB1FJafiuFyyZqYNZT3xJEtf/HftfaXUQl8XHdbi4g51NSFJktQedaRkJvdUGRnHiug3Xg76aAkymWlDxpUrmZewmheDSgFQBFz7+xtJGjYc0+7dzg1OkiSpg1MUOkSfmdRDBaz66Ah+Ye5EDwhydjhXBNnM1Ia6bd7EqZnXM+D/XmZO97EMyEvE11wOgDY42MnRSZIkdWwqlYK1nS+bvfXbkxzecJouffwYc2uMbGJqIbJmpg0dV+Xy8ngjRV52RvauIKY0s/YxbefOToxMkiSp42vvzUxHt2RxeMNpRsyOZtqDffHwcXF2SFcMWTPThoLcgtgfrWJ/tArv8kOMGhFMXM/+3PjIKygqmVdKkiRdjvaczOSlGdn6zUn6jA6j31jZT6alyTNoGwp2D+bIvCO82XsB128NxbfcnYxfEykrKXZ2aJIkSR2eogJ7O0xmqitrWPOfo/h38mT4TdHODueKJGtm2pDdVEP233cRiw+dw+8hvSIBi72Kin8mob0R3AfKfjOSJEm/lUpRaI9dZjb9LxFLlZXrH49HrZF1CK1BJjNtSOWmrb3tqfWlt8/w2vvZO3P4ZdPP9B/SmyHDB6EoslOYJEnSJVEpQPuqmbFZ7aQdKaT/xM54+bs6O5wrlkxm2ljYyyMo/iaRqrxccvwWY/bMwP34fWw9ZafYkMGadRmcSDpGXFwc/fr1QyX70kiSJDWLokB7m7IrcXcutho7XQcEOjuUK5o8U7YxRaXgMkNL6sCnMYZtxeyVTvGQv6DWVgGgVekxGo388MMPvPvuu6xfv15OqCdJktQMitK+OgBbLTb2rUqja3wAfqEezg7niiZrZtpYTU0pu3ZPrLfdHLwHjEFcO2IC14yKIzk5mYSEBLZu3UpkZCRRUVFOiFaSJKnjaG81M6cOFmAsrGbyvX2cHcoVTyYzbWzL1oH1tiUdHYfRGMSgnqMZMqY/KpWKHj16EBMTQ15eHrt3765NZqqt1by5902Kq4v504A/Ee4Z3tZvQZIkqV1S2tlCkz4h7gBYqq1OjuTKJ5OZNtazxysknHiG4cO2sX1ZAqdSdpNrc6yePe3319bZNyk/idNFpzEqRqYsnYJGpWFClwl8k/gNAPGB8czpNafN34MkSVJ7pLSz0Ux6V8cp1m5rPwnWlUomM20sNPQmQkNvAmDcrSFUfltD1vGd9O87qHafY+nH+PL7L9GWaNGgYYWygrKKMvxc/PjPkf/U7rc6bbVMZiRJks5wNDO1n8TBXOWokdHo1E6O5MonOwA72fSbJhIYGIjZZgLg2OljfLX4K2zlNgDKfcuZ0HsC7177Ll9O+5Lru13PB+M+INg9GFONCatdVl9KkiTBmZqZ9pPLkPRrHjpXDX5h7s4O5Yona2acTFEU/Pz8OHbsGH3i+rD4m8W44MI9991D14Cu9fb/x/B/ADAsdBjLkpYR/3k8W36/BR8XH2rsNWgUjZyjRpKkq5OKdtMD2FJt5di2bGJHhKJzkafa1iZLuB2orKwE4Ov/fY077njEejSYyJzv6UFPU1VTxaq0Vdy55k4ivCLYlbOL+MB43h/3vkxoJEm66rSnmpnUQ4VYqqz0uVYO0mgLspmpHbjxxhsZMWkEQu34FsZExlz0OW5aN14b9RqP9X+MaO9o8kx5WGwWtmZtpai6qLVDliRJancUhXYzz0xBRjkePno8feXK2G1B1sy0A15eXiw3LedA8AFmuc9iavzUZj1PURTu6nNX7f18Uz6Tl05medJy7ul7T2uFK0mS1C61l6HZ5cXVHN+WTa8Roc4O5aohk5l24FTZKX7N+ZV5A+fxcPzDv/k4gW6BDAoexLsH3sVqt/JA3AMtGKUkSVL71h4mzRNCsPnLRHQuagZNi3BuMFcR2czUDnxz4ht0ah239rz1so/V2bMzAB8c+oD4z+L5NvHbyz6mJElSR+DoM+PcbObk7lzSjxYx5rYe6M9bXFhqXTKZaQeKqovo6dcTXxffyz7WvNh5tbetwso/dv2DX3N+vezjSpIktXeKkxfNriwzs/XbJLpfE0REX3/nBXIVkslMO1BcXdwiiQxAuGc4y2YsY+2Na1l34zoGBA1gwe4FbTofzdcnvualXS9RY69p8PECUwHllvI2i0eSpKuDolKwO6kDsN1mZ9MXJ1CpFUbO7u6UGK5mMplpB4qrWi6ZAYj2iSbYPZgg9yAe6/8Y6cZ03tr7Vosdvylmm5kFuxfwTeI3rM9YX+/xFSkrmPDdBGb/OFsmNJIktShn9Zmx2+ys++Q4GceKGTu3Jy4esnmprclkph0wWox46bxa5dhxgXHc1/c+vkj4AqPF2CqvkVuZy80/3cyM72cw8btzK4I/veVpPjv2WW0bttFiZMGuBQwMHkieKY+vT3zNjqwdvLv/XUw1plaJTZKkq4gTshlhF+z8/hTJ+wuYeE8sEX1k85IzyGSmHfDSebHl9JZWq6mY2W0makXN8qTlrXL85NJkjhUdI7UslWs7XcuK61ew//b9zOs1jzf2vsGz258ltzKXN/e8iclq4uURLzM1cipLk5by5OYn+c+R//DCzhdaJTZJkq4ejnlm2u71Ug8V8MXzuzi4NoOh13ela3xg2724VIdMZtqBG7vfSFJJEreuvJWS6pIWP36oRyiTIibx1YmvqLJWtfjxh4cOZ0bXGQA8GPcgkYZItGotfxr4J14Z+Qpr0tYw4bsJrEhZwYNxDxLoFsiw0GFkVWRRXlNOmEcYq1JXkVeZ1+KxSZJ09WjLeWZMRgvrPjmOl58Ls54aQPzEzm3yulLDZDLTDtze63aWTF+C0WLkhhU3tEpCM7fXXIqri5n942w+OPhBo51zL0WVtYoXdrzAzStvZkXKCub0mkOgW90rk+uirmPJ9CW8NfotVs1axQP9HHPfDAkdQqBbIK4aVx6NfxRw1PBcqKS6hAP5B1okXkmSrmxttZyBsAs2f5WIolaYdHdvQroaWv9FpSbJZKadiPKO4p1r36GgqoANGRta/Pix/rF8POlj0oxpLDy0kO+Tv7/sY+7J3cPSpKUIIfj7sL/z50F/bnC/SEMkEyMmEuIRUrvN18WXVbNWsfn3m+ni1QUAbxfvOs87XX6aacumMXfVXP667a+XHa8kSVc2R5eZ1s1mhBBs/vokqQcLuPb2HrKzbzshk5l2JD4wnhifGHbm7GyV4/f2702EVwQANrvtso/nqnEF4PVRr/O76N9d8vN1ah2uGlcSSxJRUAj3CKe0uhSLzcJPp37iofUPYRVW5vSaw/r09a3SRCZJ0pWjtWtmcpJLWfbGPo5tyeLaOT1kH5l2RCYz7czYzmNZk7aG+9fe3yrHP7tcQmJJIvZm9JTLrcxldepqcipy6j129vkVNRWXFZPZZkalqFifsZ5R34xi2FfDmL91Pt56b94a/Ra/j/k9FruFV399ldLq0st6LUmSrlyKCmileWbKi6tZ+cFhbFbB9Ef60XOYXHepPZFrM7UzD/R7gIWHFrI9eztFVUX4ufq16PEnRUyi2lrN37b/DV8XXx6Jf6T2sRp7DVrVuSpTm93GLStvobCqEJWiYlTYKIaEDmFj5kZOFJ/AaDbiqfMk1OPyvtTjO4/n9T2v8/yO5wl0CyQuII7be91OfGB87T739r2Xz49/zubMzWyYvQGVIvNwSZLqaq2amerKGn589yA6Vw3TH+2Hq4eu5V9EuizyjNDOnD8XjNlmbpXXmNF1Bnq1nv87/H9kV2QDsC59Hf0/78+4JeNqZwtWFAUFhW7e3fjr4L+SU5nDG3veoMJSwbxe85g/eD4//e6ny57wL8AtgL8N+RsATw18irfGvFUnkQF4JP4Rbu95O4qiyERGkqQGOYZmt3w2s/fnNExGCzMejZOJTDsla2baGS+dF928u+Hr4nvZNR6NsQs71bZqAH5J+4VIQySPb3ocgHxTPusy1jE5YjIqRcXT1zzNk5ufJNonmu9mfIfNbkOtUrd4TLOiZzG+y/gmJw88WXKSGN+YFn9tSZKuDGeXM0jcnUt4Dx/cDfoWOW7WyRIi+/rjHeTWIseTWp5MZtqR0+Wn+e7kdySXJtd21G0NapWapTOW8s6+d3hr37llDu6IvYM1aWt4avNTfJnwJXf1vqu2luZ0+WniA+NbJZE562KzICeWJDI1cmqrvb4kSR1bcJQBvzAP1n1yHACfEHeixAn8u4cQPm0ELoZLT0bMphoKT1fQZ0x4S4crtaBLqq9fuHAhffv2xcvLCy8vL4YOHcqqVasASEtLczRLNPC3ZMmSRo8phOC5554jJCQEV1dXxo8fT1JS0uW9qw5q9o+zWXR0EeAYSt2auvt054PxH/DD9T/wxug3WDRxEX8a+Cd+nvUzr418DbWi5uEND5NUksSo8FE8u/1ZFh1Z1KoxNaW0upTcylx6+PZwWgySJLVvfmEe3Py3a7jj9RFMvDuWcEMFhq9fpebvfyR56FB+Hfd79j/5Fum/7KXG0rzFd3NSykBAaLR36wYvXZZLSmbCw8N59dVX2bdvH3v37mXs2LHMnDmTY8eO0alTJ3Jycur8vfjii3h4eDBlypRGj/n666/z7rvv8uGHH7J7927c3d2ZNGkS1dXVl/3mOpJqazXlNY7lDB6Me5CXR7zcJq8bZYhicsRkrgm5BnDU2kyNmsqiSYu4r+99LDq6iGGhw7ALO+/sf4d0Y3qbxHWhxJJEAGJ8ZDOTJElNc/PSET0wiJ66RFTu7vh/+CnK7+ah0Qj0Py/G9Ogcjg0cwe4Z93JowccUHc9o9FjZSaW4GXQYAlzb8B1Il+qSmpmmT59e5/6CBQtYuHAhu3btIjY2luDg4DqPL1++nNmzZ+Ph4dHg8YQQvPPOOzz77LPMnDkTgM8++4ygoCC+//57br755ksJr0Nz0bjg5+JHUXURd/e+2+mdXFWKiofiHiKpJIlXf30Vb703E7pMINTdOcMRE4sTcVG71E6wJ0mS1BQhBMaVP+M5fhwBY64hYIzjgs1mqiLvl20Urd2C/uAedJ9vJf/zN0j37oRq4AiCZ19H4Ig4VCrHb3B2Uimh0d4oiuLMtyNdxG/uM2Oz2ViyZAmVlZUMHTq03uP79u3j4MGDvP/++40eIzU1ldzcXMaPH1+7zWAwMHjwYHbu3NloMmM2mzGbz430MRpbZzXotiSEwCqs3BF7BxqVhuSSZLp4dUGrdt7skoqi8Pyw59Hv1jOv9zxi/Vq36aspiSWJdPPu1qp9diRJunKYTyZhSUkh6M9P1dmudnMl9PoJhF4/AYCq7Dwyl63DvmEL2k3fU7LuK3I8AqH/SPxmTqEgzUzM4OCGXkJqRy45mTly5AhDhw6luroaDw8Pli9fTq9evertt2jRInr27MmwYcMaPVZubi4AQUFBdbYHBQXVPtaQV155hRdffPFSQ2/XsiuzKTOXEe0TzfTvp5NuTOfvw/7+m2bWbUm+Lr68Pvp1p8YAjpqZ3v69nR2GJEkdRP4bbwDg3sDF9vlcQ4Po/vBt8PBtWKuqyfhuPaaVq9HuWkPllqUMcg0iZP73bRCxdDkuuS0jJiaGgwcPsnv3bh544AHmzZvH8ePH6+xTVVXFl19+yV133dVigZ5v/vz5lJWV1f5lZma2yuu0pX15+wD4y7a/1PZLObtcwNWuxlZDSlmKHJYtSVKzCCGo3LbNcUfb/NptjasLUXOmMeDr94jdsx3tmEm4ay34hnm2UqRSS7nkZEan09GtWzcGDBjAK6+8Qr9+/fjXv/5VZ5/vvvsOk8nE3LlzmzzW2T42eXl5dbbn5eXV639zPr1eXzui6uxfRxfkFlRvW4BbgBMiaX+SS5Ox2q309O3p7FAkSeoAFEUh/N/vAVC5ZctvOoZar0OVm47h2lGo1LJ5u7277F6mdru9Tv8VcDQxzZgxg4CApk/GkZGRBAcHs379+tptRqOR3bt3N9gP50o2OGQwb495G3etO3f0vgMAf1d/J0fVPpwoPoGCQnef7s4ORZKkDsJj3DjcBg4k/+1/IuwXX4fuQjV5+ZhPnMB9xIhWiE5qaZeUzMyfP58tW7aQlpbGkSNHmD9/Pps2beK2226r3Sc5OZktW7Zw9913N3iMHj16sHz5csCRPT/22GO89NJLrFixgiNHjjB37lxCQ0O5/vrrf/u76qAmdJnArlt3cbL4JJGGSDp5dnJ2SO1CQnECXby64KaVs29KktQ8iqIQ8Kc/YU5MxLhy5SU/v3L7dlAU3Ic33u9Taj8uqQNwfn4+c+fOJScnB4PBQN++fVmzZg0TJkyo3efjjz8mPDyciRMnNniMxMREysrKau//+c9/prKyknvvvZfS0lJGjBjB6tWrcXFx+Y1vqWOz2W3sytnFnF5znD48u704UXxCNjFJknTJ3PrH4zFuHPlvvY3n2LGo3N2b/dzKbdtwiY1F43t5a89JbUMRojXWGG1bRqMRg8FAWVnZFdF/5tltz7Indw9rblzj7FCczi7sDP1yKPf2vZe7+rROh3JJkq5cltOnOXXddPzuuZuAhx5q9vNOjhiJ16RJBP/t2VaMTmqp87e89G+HRoSNILsym21Z25wditNlGDMwWU2yZkaSpN9EFx6OYfp0Sr7+GntlZbOfpw0MxFbe8ecwu1rIZKYdmtBlAv0C+vHF8S+cHYrTnSg+AUAPP7kmkyRJv43fffdhLy2j6JPFzX6Oa3w81YePtF5QUouSyUw7pFapiTREsj17O5nGTOzi0nviXykSihMIdAvE10W2W0uS9NvowsPwmTOHwn//m9OPPIq5GYsZu/btgyUtDdt5fTyl9ksmM+3U2RqJqcun0u+zfryz752rMqlJLE6UTUySJF02//vuxXXgAKqOHiXtttuxlpQ0ub9Ln74AVB092hbhSZdJJjPt1GsjXyPCK4Jgd8fkgYuOLmLBrgVOjqptCSFIKE6gh69sYpIk6fKoDQYivviCiK+/RlGryXzgIWxN9KHRdu6MyTUA44FjbRil9Fv95oUmpdYV5R3Fj7/7EQBTjYk/rP4D3yd/zx8H/BEvXccfsdUcBVUFFFcXy5oZSZJajDYokE7/9xEr//4LPz+xm65uWYx4+jq0GoXMjYc4fTCL/Hw7JXYfrINfIDSpAOeukCc1h0xmOgA3rRvXBF9DQnECVTVVV00yIzv/SpLUGlz79MF7jIm8I5WkG33J+MtWrGo9QqVFY/PGV11Kj5ByirWuFJaGIIRAURRnhy01QTYzdRCzus8CYFnyMidH0nYSihLw0nkR6h7q7FAkSbrCRA2LAsCqcSXMq5wBPWuIneSD+rooTvaKZnt1CNmnwWSykllhvsjRJGeTNTMdgBCCndk7Aa6q9YlOFJ+gh28PeUUkSVKLi+jrx4BpEexbmcZxwtB4GNCtKQFKwE9LdZiWjNgyduhO4FMcylxPWUPcnslkpp0z1Zh4bsdzrElbw80xNzO201hnh9RmEooTGNd5nLPDkCTpCqRSqwgeH8bq7HwmHzDBPsfopjVxO0k3bMFuyQYBmOFApo25XeY7N2CpSTKZacfyTfk8vP5h0o3pvDHqDSZHTnZ2SG3GaDGSVZElRzJJktRyrGbIOQxlGVCWRUSvmeztqkVX/gOuFkjxO0yVtxdhnr3pqsQQYClma1kCpafXAzKZac9kMtNO1dhreGrzU+Sb8vlsymfE+MY4O6Q2lVicCCBHMkmS1DKEgLd7gqno3LbD3/LXITfzUcAGAKbqQsiqyiShKoVMRUEjBN2tgsnFKWCzglqeMtsr+T/TDp0uP81re17jQP4B/jPxP1ddIgOOzr96tZ4IQ4SzQ5Ek6UpQdtqRyLj6wn1bYP9nsOV1+tpvq91lvTmbsRo/Jvn2oE+n0fSMnoo+9xgsngqFiRAU68Q3IDVFJjPtjNlm5q41d2HHzoIRCxgcMtjZITlFYkki3X26o1HJj6gkSS3AI8jx74QXwbsTxN8OW15n1I/P8EeDF/n+XZl/2wYU1QWDfEP6gaKC03tlMtOOyaHZ7cwvab+QXZmNu8adMnMZicWJV+UyBnLmX0mSWozNCptfc9x2PbPOm08XeGAHeIZwt/DkL7//uX4iA6D3gICekLWv7eKVLpm87G1nRoWP4oF+D7A3by//3PdPLHYLBr2B3v69uav3XQwKHuTsEFud2WbmVOkpbo652dmhSJJ0Jcg9BFvfdNzuNh6S18GGBVCYBH1vgnHPg86t8eeH9Yes/W0Tq/SbyGSmnTHoDTwY9yAA1dZqjhQeYVnSMn469RMRXhFXRTKTXJKMTdhkzYwkSS0jtP+52wvONDcFxkL3SbD3Y/AIJlfVBdewXuh0KkqSDlCcdpLirEyKC4spLq1C2PXM/YMJrWsTSY/kNDKZacdcNC4MCh7EVye+IsgtiIfiHnJ2SG0ioTgBlaIi2ifa2aFIknQlUBT4ay68NxCMp2HAH2Da25B/HI5+x7Hv/8vqnPoDLbz0NnwNOkLCgjieUkpeeirhPWS/mfZIJjMdwNr0tQB46jydHEnbOFF8gkivSFw1rs4ORZKkK4XWFR4/6khsziis8eLThJEAuHl5Mn7KMOyo8enaB5/o/mjd3AGw22yc/MNscpNPymSmnZLJTDtWWVPJhowNtfftwo5KufL7bCcUJ8jFJSXpCiSEwFiQT0VxER6+frh4eKA/kzC0iQuWRvn0SUdtt5vBm3ve/5jCrUmY88qpOFBD2a7d2Kw12KxWUAQ9fAdjPJ4N17VduFLzyWSmndqRtYP71t1Xe/+LqV9cFYmMzW4jqSSJiV0mOjsUSZIuk9lUSW5yEjnJieQkJ5KbfBJTWWmdfe585yN8QsLaPDa73VZ7W+fiyr6PlxKWGo4asFjLsWNHQUGrKKgUDT1cBmErs7Z5nFLzyGSmHUoqSapNZCZ0mcD8a+YT4Bbg5KjaRroxnSprlez8K0kdWGVpCUtffo6CjDQQAp2rG8HdutNn7CSCu3WnoqiQoqwMDq5ZybHN64kdMx6f4NA2jVGlUvOnr38k9eBe9v2wHO+TnqB1PKadGkjnMfGoVOra/U2HCyj+8gS2CgtqD12bxipdnExm2qGzK2SDo7/MbT1vu2qSmYTiBACZzEhSB5afmkJBeipj77iPzr3j8A0NqzeHy54flwGwe/m37P1pOQ/+90t0Lm3bT05RFKLiB+FfFoxxdRoWqtHhgkeoX51EBkAf4QVAdVIp7vGBbRqndHEymWmH5sbOpbd/b+atngdAhFeEcwNqQ4nFiYS6h2LQG5wdiiRJl8hurwEUKkqKAeg7fgpqTcOnGZ2LCxq9Hq1Oj7Db0er0bRjpObYKC8a16XgMC8V7RtdG91N76dF19qTqSKFMZtohmcy0U1qVo75z/jXz8XP1c3I0bUfO/CtJ7VtZ2UGSkl4iIGAiOl0AVlsFVqsRY9lBSkp3o1a7ojLeiKuXodFEBqDfhKn0mzCVZa++gBCi4dl324CtxAw2ga7zxUeLusb6U7Y2HbvFhkqnvuj+Utu58nuUdlC3/nwrAIVVhRRWFTo5mrYhhOBE8Qk5kklql0wWKwczS50dhlOZzXkknHiGMuMBklNe43jCkyQlLSAz8xNsNhMRXR7A1bUzVR7/xS/64p1lhRDkJp8kpFv3Noi+YaZDBQAUf51I4SdHqU4qaXRf195+YLVTfbyo0X0k55A1M+3U19O+5k+b/sSnxz7lk2Of8M1139Ddx3lf+LaQZ8qjf3E2M45vhNMpMOYZcPd3dljSVe54tpGvfs3g813pADx0bVceHReNscpKgOdvaBqx1ZC38R5MlBM+ehFarXfLBtyKEhKeobo6h/7xX+Hu3hWNxgOVqm4ZdOp0J+tXjcDQNeeixyvLz6Oq3EiwE5MZw7RIRI0N7GDJraRw0VE8RoVhmBKJcsFQbo2fK7pIAxW7c3CLk01N7YlMZtqpWP9Y1ty4hp3ZO7l37b0IIZwdUqvLTFnLv/ILsZdsgZoqSN8BfWfDiZ8ABYY+BLHXN/t4Qggyi6uw2Ox0C/Sg0mxl26kint+RTHl3LwL0Wv4cGczUAO/WektSByWE4Nu9mSzekU5CjpEATz33jooivaiS9zem8MGmFISAaX1DeGZyDzr5uoHd5lhd+YITYC2LCTQu2Ne/SNCO5QDsrO6HNmQIvj7DiIx8BKUdT79QU1NGcckOoqOfxcfnmkb3U6v12GrsaFQX7/eWm5wIQHBX5yUziqLg8zvHbONCCCq2ZVO28hTYBF6TIuo1J3kMCaH4qxPU5FWiDWrDOXKkJslkpp3LM+UB0Nmrs5MjaX0VaZuxA8oTJ6EoCX75G6x7ATiTyCVFNyuZMVmsPPzlAXakFFJd41hxPMzblazSqtp9orp7c6KymruPpvFpn0gm+MsOx9I5lRYbTy89AsATE7pz/5iuaNWORGPl4RyKKs0owAebUpi1cAe3XdOJOzOewctWCnOWg6s3VJXCFzdAWSa4+UP+McDRtm8f9hDWPR8QlW7iqOseysr24urWhZDg653wbpunsHADQlgJDLj4HFCKtgqtuHhfv9MJRzEEBuHm1T6+f4qi4DkyDEWtULoiBVFjx2dW3WVVXGP9UHloqdiVg8/Mbk6KVLqQTGbauQxjBkFuQVfF1P7qvGPkuXgS4uIFYQPgjp8dV7Mvhzh2qCqBmmrQupx7UnkuCAFeIbWbVh7OYcOJfB4f350+4V6YLDY2JRbQ2deNd9adxKZXc1tkILeE+HHX0VTmHEllUe8IpskamnZLCEFubi779++npKSEW265BbW69Tpgeug1PDK2G+9tSOb9Tck8PPbcSWta33OftSl9Qnj0f/vosuVxvNTbHRvf7gW3fwc6D8jaCxEjwSsUBt3lqLlx9UbVcwYmVSlB2/6Hy8RX2Jv5F44ffwIFFYGBU1CdGQDQ1qqrq6mqqsLHx6feY9k53+LlFY9eH9TkMew2K2q9BRea3g8gKzGBzn3iflOsWSdLOLY1m7Du3vQYFoJaXbdWy2Sx8u8NyWw4kc+J3HJuHBDOGzf2rdd01BCPYaFUbM/CZrTUe0zRqHAfFEzFjmy8p0WhaNpvbdrVRCYz7VxuZS55pjyOFx2nl18vZ4fTqvxKMinx7UzI+Rt1bjDhH1CaDnv+C8eWQZyjczRHl8H3DwIC5nwPXYZiqywmcfO3DO86jD+OP3dFdV1fx4RcViH416ZkVAJcVQr9PN3YWFxOiM45Jw/p4oqLi/nkk08oLy+v3VZVVcXq1avJy8ujf//+DBw4EK22Zf8PH7q2G6uO5uKu1zR6AvT30PPWBAMhn51JZB7eB0vvhG/nwXVvO7ZNfgWC+9R/coBjYUOtUNO5011kZC7i2PHHyTy9mP7x/0OtbtsLGJvNxuLFi8nNzWXw4MFMnDixNmE0mVIpLf0Vtdodi6UYnc630eOUl2SiUgtcXZqe1bfGXE1RZgbxk3/b+gA7l6eQl2okeW8emceLGfeHXmj1agorzLy8MoGfDudgsdkZ3zOIroEefLfvNBN6BTEpNrhZx7ebbVgLqxp8zK1fAOUbM6lOKcU1pvGykNqOTGbauYfiH2J//n7uXnM3S2csJcQj5OJP6oDKq0uJrKogtUff+g8Of9Txb9o2OLESNHo4vAROroKYqVBZAJ9OB58uqIuSeRbYOm5n/eMA/gFuKFaBpcTM9Pwk9hpN/LFLEP0Nsu27vdq4cSMWi4VbbrkFi8XC0qVL2bRpE0ePHgVgzZo1JCcnM2vWLNzdL/7/WJafR3FWJv6dIyg6nUFZfi6e/gFExg2sk7QczCwlOb+C565r+iIiJCqWHV5TGGBch+IRhu627+D/xsA3tzt20Lo1+DzPmHkInsO6/lmi708gPHwuSckvU1CwhoyMRRi8B+DrM7R5hdQCtm/fTm5uLl27dmX37t2o1WoCAwPp1q0brq5BaLW+1NQUs2PntYwauQ+VquHTR2lRCgAeF2kaL0hPRQg7QZGX3lRTnFNJXqqRyff2RlEprP34GEte2cOQ67tyRFhYdiCLPwyL4KaB4cSGOpqwNp5YTXJ+BZNioaam5qLJr1vfAKqTGx7ZpAlyQ+3nQvWxIpnMtBMymWnnwjzCuL3n7by25zWKq4uv2GQmPW0jvYXAK2Jk4zspakdn4BM/gZsf3LQYel3v6Cx88H9QnIqlOBOdMDMiNqrBQxwrqEAAIzp58/xBx5D3hzpf+qiEyjIzP757kG4DAuk7thNavRpzpRUXD1nD05Jyc3M5cuQI1113HTExMaxatQp3d3eSk5MJCwvjnnvuYcmSJRw7doxDhw4xbNiwOs+3Wa1YqkxYqqqoLC0h89hhtn39WYOv5eHnz4jfzyF29DgAeocZiAny5L0NSdw4MBwvl4b/b9NTjhNZvg89NRizj6OLGgC//wL+cy2ggHeXBp+ndvHGqtHgWpwPwo6razhhoTdTULCGU6n/BGDE8F3o9Y7Zv4UQZFRbCNZr0bfwnCw5OTls2rSJESNGMH78eJYtW8aOHTsAcHFx4bbbbmPUyD1kZi7mZNI/sNlMqFReDR6roiwNAC/fhr+DZ+WmJKPWaPDv3HD5NCX9aBEarYqIPv6otSpufGYgW746yaoPj1DcywOA+VN7oNeca4rsFujBybxyMjMzWbRoEf7+/vTr149+/frh5VX/vajcNNirGh5erigKrrF+mPbn4319NxTVxZuupNYlk5kOIN2YjkbREObR9ouxtZWytM0ABHdtonOh5sx6KDcsgt43nBs1onODa+4BIGvvKiKtpzBWmDD4uNQ7xPbkQrQ+OmJ9PPixfzS3HU5hxO4E5keF8PtgXxA15OX/jJ/vSHS6JjowCijKqqQoK5UDv2RgqXYsWhc7KowRN3VDo72yJ9Sym2oo+SEFe2UNfrf3ROXSOj8l69evx9fXl/j4eADCwsLYvXs3ABEREQBMnz6dY8eOkXoihf5BvbBklmNOKsFaWE1NWRWJpb9yuGRz7TF9wzoRFtOT8uIi8lNTiOp/Dcm/7qCiqJDVH/yTXUu/5q53/4OHXsNnd13DqNc38p8tp3hiYkyDMWZv/5qhIp898a8wKLK/Y2NYf7h/G9gsoK5bNsJup2zn89jzDuFrtVIcPwHfM1Pn+/qOJK7fYk4m/R2T6RQmUwpFwsC3ucV8l1dCssnMMG8PlsZ1bVbfj+aw2+2sXbsWHx8fxowZA8Do0aOx2+0MHTqUJUuWsHTpUh577DEMhgEAGI0H8fMb1eDxKiuyAPD2b3w2XYDcY4fx9Q2Aagtc4kVAdlIpQVEG1FpHUucX6sHvnujPofWZfPhDAriBmrrl467TUJRxkkUnfgAcSdqWLVvYt28f999/Py4udX8vVO5a7CarY0K/BsraNdafii1ZmFPLcOnqfUnxSy1PJjMdQFfvrliFldVpq7m5x83ODqd15BwiT+dKkHsTa1Dd+i2kboFeMxsc/lpamIvBWkQVejzc6/c32J9XRmaGkeEDHLVbgwzubBjUgwUp2Tx+IpPPs/K40fgwXUjH23swA/p/2Wgo7t56DAGu+AS7ERjhRdbJElQqhRM7cijNrWTaQ/3Q6usnNDVmW4PbOxKb0Uz+wkOOmVOB7Bd34jenF669Wnam6vT0dJKSkrjhhhtq+2707t2bZcsca/p06+ZonrCYHZ00kzJSKPzPERStCn03b9z6B1KQfIqeDMEtyp/I64fiGxqOi4dHvdeadP+jGAvz+c9Dd1Kal8PeVT/yeoY/x7LKuCbSlyV7TzeazKitJnLxY9DMB+s+cEE/mbLUZZj3fYBrxhG8jdVY1QrlPt54jH61dh9FUfDzG0lPzavs2zebNw8s5hNFj16lZlqAgfF+XnyYWcB+o4kBLdA0arfb2bBhA6dOnWL27NlozszY6+fnx4033khmZiYVFRXExsYC4OnZGze3bmRlf9NoMlNdlYtNpUGrazq+rL2/4l1QTMrEiRhmzsR92DC0IcFow8OxFRdjTjlF5fbtaDuFYystxfjzKhSVCsXdnSzvufQZXf/irt+4TsTkl7LqUEa9x24bGMyvP6zGEBTK7JnTCAsLo6SkhPfff58PPviA/v37M2jQoNqmSrWXHmwCW5kZjXf9CyNdZ080/q5U7smVyUw7IJOZDqCyphKAJSeXXLHJjKE4jULvsKbHP3gEQp8bG3zIbhds/NedjFPVUDJvE6E61wset3Pfd4dQtCrennyuD0S4i46FsRF01x3mtdMWCnmEV3iKsrJ9WK0VaDT1T3xnRcYFsG9DIqeri8k3ZqJXu+MfGUbWKSs/vHOAiXfF4uV/Lo5ffzzFnpVpqDUq7v/3mOYUS7tjLaqi6IsEhE0Q/OdBjhqa75IoW5OGS0/fFqstEEKwbt06goODa0+kACqVijlz5jgWCIyKwm6zc3TdPgAiVEEEPdYfjZ8rypkrdq+JXTj67HJ8i/0J6toNtbrxnzwv/0Am3Pswr36zjfc2qwDH+kLHso1M7NXwJ1PYbYRmrcKqNL6KsrnoKMYtz+B7ZCueAio7xVAx+lY8BjxGYxPoG7zi+VUzhUW2u5nqlsG/BkzDU6PGahdsKS7nqcRMvg8Lo/zDw6jctfjc1P03nVDXrVvHjh07GDt2LL161e0bVFRUxCeffIKfnx/jx4+nqKgIPz8/wsJuJinpJXJylhISckO9Y1osBdhV9U/+dfaprMRotxIT3QMP/yDKvv+e4k8+aXR/RavFc8pk1F4GCg+lUIMeP5fKRnY+888FH8Wufnr2KuAR0o2wMEci5OPjwz333MPu3bvZvn07R44c4Q9/+AOenp7owh3f/ZrsygaTGUVRcL8mmLI1adhnWlG5ytOpM8nS7wCiDI62Z7PNzHPbn6OipoLhocO5oXv9H5KOqMZmoUtlKSkRI37zMexC4IkJHTV4eJ+bNdhqs6NRq7hn5VEKMsu567oYgt31HC48ydPHj1AtdARpbWw3h+KrVPH36K4M89vAjp3XUlCwpt6Ptd1uxWg8RHZOLhZXX0p9D2Evt4ACJruFjPISonsMxJRt4ZuXfiWkmzeKSqEws5yKMzUZNqud9GNFdIlt+TW3hF1gN9VgM1pQe+pQe9Y9yQohQHBJbfxCCKoTikFxTPmu0qsJuLM3Gl8X8HXBc1xniv+XgL3c4riaPU9FRQUff/wxnTt3prKykri4OJKSkhBCUFlZSa9evejfv3+910xKSiIzM5PbbrsN1QX9Q7p2dTRfWK1WXl/wKhbh6Ndg1djRBtetDVAUBZ9xkfBLBScXr6fnXZOafK99x01mx1pHk2Gou0J2paC40sK4ng0nM4m719DDdpoEbWyDj1fn7ED18XX4WW2URw/EY+YXeLpfvN+boqj41DYbgN0mT1TCCqjRqBTe7dmZyXsSKfz3QXQCbKVmCv97hOAnBqLxb3wElL3KijndSPFXJxBmG2gU9mh2Ex0ayahR9WtZVq1ahd1up6CggLfeeguAGTNmEB//B/JyV5CZ+SnBwbPqJbA2ewnQ+EUAQNb2raAoREyfQei06YgXbZiTU6g+dgx7uRFd125oAgLQd4/GXlmJyt299nV2/X0jZAuC+4Q3+RoXzjMa0ykIM1pOZ2fX2R4UFMSMGTMYPnw4ixcv5tNPP+Wmm24iMDAQRadqdEQTOOacKfs5FXO6EdcesiOwM8lkpgO4tvO1/LH/H9mQsYGU0hQOFx5mbfpaBgYPpIvXpXeea28yM7YRZbfj3nnYxXduhEatotvcf6P9YgSJS/5Kj7s+Ysx/tpOdYUTRqcBsp3efQP42wtE0sbswjQM2x0kxwQzXu57g1biJeLs4fpAMhgFkX3DlWV2dw5Gjj5CQUMWplEEA+BlC6NG9J9v3b0Bjd8OqMnGq4DCPPvFHjm7KoSzfRF6qEdOZ+Sq6Dw7i5O48youqf/N7bYxxXTrlW04jLI6JAlGBW3wQHkNCEDU2jOsysGSWg6LgfV0U7tc0b4iqtaCKos+OA6Dr5In/Xb3r9JE5mxjV5JvqJTMZGRkUFxdTXOyo5UhKSgLA29ub0tJSkpOT2bFjB4MGDWLw4MGAoxZt/fr1dO7cubYpqSEZR1KwCCtDu/Vn6MRRNJaehY+N59Cm7zAk+mApr0Ln2fSQ5yfjXXnzQBXZlYK3Z/djU2IB18Y03Pyp0zver3niaw0+XrL8ekJqbJReezfeo99q8nUv9KcQC8/lQBE+fJ6ynft7jAWgt6cbvwyKoXDLfkpDXBk7O5bc1/ZgLaqqTWbMGUYsaUZUbhpqsisxp5ZRk1vpSGRdNbj29UffxYvwjUdJyk5l81drGH1L3URv8uTJ5ObmAo6E9tdff2XXrl3079+frl2f4sDBORSXbMfPt+5FiF0xolGa7lSf9esuVHZByMjRAChqNS4x3XGJqT8TsPqCZkFvNwtZaNH5NtwBWXXmk2ATos4J7uPv16Gnht6xDY9O8/PzY968eXz77bd89NFHDBw4EL1HFSHpKnrRcOKk9nVB5anFkiaTGWeTyUwHcXefu7m7z90AbM/azsMbHua65dfx5ug3mRTR9NVme1eUuoEoIKTr5b2PiOjeHNDE0i37R/q9NI3qai3RPf3wd9PR2duVV8ed6/MQdGZemSBy+TYuhmjD7Do1ABZLAVVVGWzfMQYfn8G4unYmN/d7bDYT5ca+qFRW7r//QQICQrDWWNm+fwM2pZrOvj3JKE6gtLiU4TecOxFXV9agd9Mg7IKCjAo2f5lIYWY5Y26rv6imEILMY4cxFuQTNeCaZs2OasmqwLguA/ehIbh09UblqcOSYaRiWzamfY5ZpLWh7nhN7IIlo5zSH1PQx/igMVx8bSF7ZQ0AhuuicB8UjOqCPj+mwwWgVtBH1I+zV69eTJ8+nY0bN1JRUcHkyZPp06cP7u7u1NTU1HbAXLVqFeHh4YSFhXH06FHy8vK48847m2y2SjmYiE5oGH/TFNT6xjuQVmYWYaj2xSKqUakvPgpo3nVDePPARgBqCk7z7i1DGt3Xv4ujX4wpaQsMqj8SryasN7aCfbhtX4wY+cYlrQx9b4/xmO2rWZAXjJuq7qiaQKuCV7WgOMpQm0AWfnIMfZQBW2UN1jxT7b5qPxf0EQY8hoeijzSg9nWpLdffdZ3N2x++y9GUBEZT9/vn7++Pv/+5Wk4hBMuWLaOyshIfn6HodP6Ulu6pl8woGhNapelax7zUZAyo0DYwiuhiQiPcOJZcgzG9ABff+p859Znk2moTnP+xOH3YMTprwsCejR7b39+fe++9ly1btnDgwAHKTeX4pKfRi4aHyCuK43NvTiu75PchtSw5dWEHNDxsOFt+v4UwjzDWp693djiXzZa1j0KNDo+LDOW8mLKSAuJtR/FUqhDVAo9OHqybN4Svb+rP6xN61iYrWeU53JvumOF0tEcFMT6R9Zoy4uO+oGfP1wgImEBZ2UEyMxejUrnQp8+HFBQEYbdr8PcPQlGU2hOUUOxkFCfgpvKhS3Tdzoku7loURUGlVjHzsTgAjm2tW90NjhPG5i8+Zsk//sqaD//F1889hclYxu7l37L6g3+yb+UPWKpM9Z5nOe2YUM57aiSuvR1X3Z4jwwn+8yD87+6D/529CXwwDs+R4fjcEI2iV1PybSLizHIPTTk7PNWtX0C9RAYAqx1sAuPGTGryTdjOJD9nDRgwgDvvvBOA1atXY7E4aqm0Wi3jxo3jvvvuQ61W880331BdXc3GjRvp3r07nTs3Pk+JEIKkzFOEeQah1muxWq2kHU6mxnzutatLyznx0RrSPt+BRqWFAa5o3C6evHm6u/HtLY4JF5/e2PTqyF5+gaSpu+CTurLBxzvP3EDl9BfQWayUn1p60de+0K2RjhrAXSV15zvxNegp14BSUYOiVgh4sB/aMA9UXjr0Xbxw7RdAyF8HE/aPYYQ8NQjfm7rjPjDY0Z/oTCJjKi7nk/98giIUxo259qKxnP3/yMzMRFEUPDx6YjQeqrOP3WZD7WJG79J0zUxRWQn+fk109m9Cp2ExqOw1pGw80eDj2rM1hba6n20lwFET++bH3zR5fI1Gw9ixY3niiScYHXkNRmtlk2vj6bp4YTldjrBe/LsktR6ZzHRQXxz/gqyKLAaHDGZDxgZe2PECRVUdc1l6j8IUcg0Xn/r8Ygxn+soU4YMu2Jvy0xX8lJxfb78is+PEHy7SeXdQwx2KXV3DCA25ke7Rf2XokDWMGrmHwdf8SJXp3MlcdWY4rUpRUMS5r1Kf2Lgm43Q36BlyvSNx27MylZT9+ZiMFoRd8NUL/2PfT8u5dt493PHPDzGVlfHhvXPYseR/FGVlsuV/n/DxY/eRsG1TnR9YbYijr0h1Ummd11LUCi7dvHHp7lM77brKRYPfrT0xp5dj3JTZZKxwLplprIOj7y09cB8aQvn6DPLe3kfOS7uo+LXuismHDjlOesOHD8dgqHs1bTAYuOOOOzAajbz66quUlJQwduzYJmPKPHiKfHspcf3jSN+XxBsvvcbiZV+wZtH3tfukrtiJR6obHmWemOzlBA5u/mKGsd0dzbcBSuP9Jc6yCA1adeM1SJ597qdGo8J6+NNmv/5Zc/b/CsBAb+8625MTCvG0gsrm+AzoO3sR9Eg8fjf3wGdWNH639EDtqUNpYoqAzUvXYbRWcufvbqfHiH4XjcVgMODp6UlmZuaZ+/0pLt6KzXauybSqsgCVRuDi0ni/IFN2NuUqCO7W8Oiwi3ENDcTfnkP6yYY7AG/LdiR+Lhe89+cfmoM9IBprcRblpuY18/oG+mHDjrGotNF99BFeYBW1FxSSc8hmpg5qddpqAF7b8xpVVscPbi+/XsyOme3MsC6ZsNsJqygkJfriV4YXk3wqmUihkNr1Vlb+bihj39nM40sPM/HJsejOa16Yn3AciODRsKZHXFzIaq3hww+/BaBPXx0FuUWsXbGVtOwkhOK4Krt+ymziBl982YkeQ0M4tiWbA79kUGO2oSjgHeRGfmoCisqP/lNnAjD7+VdI3LGF7kNGEBTVDWNhPps/W8TP773JrmXf4BMSijZbRV/9SBQUlGYO+9ZHGXDr649pby4uMT7oOnk22qRjr7KiaFWNrkGjaFT4zOyG17jO1OSZMO3Pp/SHFFR6Nfoob4zWSjZv3syQIUOYMGFCg8cIDw9nzJgxbNq0CV9fX4KDm+7Ps3vpRtBA5sl0fs79BYPGnXxrKZkljtouIQTFv55C0YfR/fVpzWpeOt/nP2wC4OYeDc/ee76u9lTyaHxOFUXrSrVvALrMw1QnrUDt3RVtQMMdhs+XU5nHfosjKbit67nk7kRKER6fO1ab9up86c005ooqNnyzmt1Zh+gd1J1OcU3PB1P7PhSFzp07c/DgQWJiYs7MouuLWn3ue1RhdAyJdnFt/P8v5+uvQFHQ0nhtx8WERrpzOM0DW1U1ate632PTmRoSXQOf15umjGbJp0ks+n49j9067aKv4xfqqD0qSs/D4F9/vSoAbYgHik6FOc3YYFOr1DZkMtNB+bn6carsFBO7TOSHlB8I9whnfJfxzg7rkuXnHiTIZsMlfPBlH8vf4Eml4opfxirSV/rSs/NIjiQUklJWRU/fc6NciuwuDNGmMDfm0kaDHTv2MwCKYidvTy/eP/weilAR4NmZiIiBDBjal6Cw5o1Qcjfomfuyo8NzRYmZpL155CQVk5uYiV+nc81tgRFRBEacu+/lH8j0P80n/fBBTuzYQmVJERqTGxZtNZ2fGoE24OIn37M8R4VjPlVGwQeHUPu64DenF7qQ+nOD2KusKM0Ydqr20KH20KHr5Im9wkLxV44Tbrqn40o50Kvpsjl16hQAs2bNuuhrBdgN+NhLOZqbiI/Wk3HXjuN/vyxhQJ8zI6OEwF1jwEPrzcllm+hx01iSl2zFaqyix10XX/XZ3cMdKKNGQEVFJQiBh2f9ETpJ6z8lGjsZoVMIbeRYwm5HXVEKGh0u/5sDQGlYJ9xvWY3Wo/EROfcd3AeE8mxQHnpNXO1227eOTtSpN0UxcsClT6S57dt17M48RLgugHE3XFo/tdjYWBITE/n444/pP+BHAgPrzqVTXpoKgIeh8SbCyEf/iOuNv5B+4jjxlxy9g6GTH/ZMKD9diHd03TIcGuzN3jxjg8/rExXOV96dyDl5mBrrZLSappN/v0hHjXF+ei5RA+r3bwNH7aeusxeWtIZfU2obMpnpoP455p9U1FSQV5nHylMruaH7Dfi6dLze9PkpvxAEBHa7+AnmYrz9gzk6YRE9frmNyBP/4Fnz2xiCu9ZJZKptNjLsAfze9+LNBxdavvwAAA89fCff/msvACFe3bjnT7dc1vwqHj56+o0L59AvnyDsJQyaMfOiz+nSN44ufeMAOPzG99gKrZeUyABog90J/vMgzKlllH6fTMm3iRimRmItrMJutlGTU0lNdgVqLx2KS/Mn+lPp1PjNi8Wab6KmwETFD0cAWPHLSlb8spKH5txHQNe6zRA5OTlkZGQQGhpKeHjTQ24Bxrx8E2POu7/56zUAmKsdzQeKSoX/zB6wpgKPfVpO79uK4/q9eYs3Xj9uEH/bto4PTwg+fGkTAH72Cr5+aBTRXc7FXpSTSjTQ+/rHGz+YsKMzW9CYzNhUYOw3AZ8Dayn65QH8Zv3Y4FNSjLnk1KjQi2oe7jXpvEMJDGWOfkG+qzIoK7Y65lNRFFApKKpzt1HOjDRTFFA5albsCLZmOObluea6kWTmZZGZl9WsMjlrypQpZGfvx829FCHU5Oadew9ZGT+CCxSeKqAyf3PdJ573HdEYDKSUF1O8YgWaC9dIqvddUuo9rk06AsRz+OeThI10TD9wttW1orgKFPj5SA4qlYJjNgJx5kgK7mEx1JRl8vnyn4nvFn7mkErtd/jC224qPSnHkujbNRZwTG3geMEzN+0CRa1gTjci7EIubeAkimiqZ1MHYTQaMRgMlJWVNbjGxpWoxlbDrBWzSDOmAfC3IX/DRePiaGpQFFSoUCkqx21FVWd7Q9tQQKWoah9XUGqfbxf2On/izLf47A+EQCCEOHdfnNt+1vkfs/O3Ry17kIjSHMR175z5ATnvh6DOj1pj2+s/Vph+DP8D/+YWy1/Z5t2fN+f0r31KVvlpXjtt5w2v75kQFt/wMS505skfLnScBOLiooiKimPVyl+oMlcwsNs4ors51mdxdAh2nFRqbyugqn3McTy7zY7dJmr/9q38ltPHVqNz9WL0nHkIuw273Y6w2bDbzty227Hbbdht9trH7TYbwQcD8dB64zHsvLqBht7OheV23l3L6XIsqU1fWXqMCgM7nDk71M5ZU3vffsH9M//aK2vYk3qIX7XJgGOV6OBOoefKS1FIS0sDHKNJPD09z4Tb+P/JhY+lpKTU3n6w0w21j9eUmLAXmGsf21q2HJcLmwLOO3GdXzifpcB+74brDq6NCUCjVvF06p10E+nYe99Y24cKcwVU5Dn+7DYI6oUt9yDqikJsnoEoXuGosvZzKNYTTa/ZOLIOx2sqKJQJF36Xf67WcGagNxpFQa2ARlHQVdTg+2sB03Ks+LppEWf/T+zi3G0h6mw/+5WrxMxXLtsaLdfmMhhy6dtvbYOPmcu0JHzdvMUjxxxPx62m4fWPLuZw7/so9K+/MG2qxsZ3HpYmnimYrDtBsKqi2a/VyebHpJq4JvdRuWkImT+4dsJGqXla6vwtk5kOqqS6hCnLptTODtxRHUmtP+14SygV7lxrfov8mE7YIuo2D7gIE+/wAJ40/8cMoKLclwMH6rezu5iC8TQ2v3NpQ+zWXCzl55ZPUFQqVGo1KpW69nb9bSpUKjWjdTegU1zQBDVQMyMuuNHQt/3MNluZGVFjR+2tR1ErtbvazsyJo/F3dZx0lfOv+i+8f3bbmeTgvH0UBYoLizgk0tB08wRFcSTBQpCeno7RaKR3796Njhy52HZTUTnR9hB6GiLrvdXK4mJSjUcocy26YDK1ugn4mTu1N202O/Yz95enCzJdwwkMC8M/OBirXfDX7IfoakmEiJFnkgg76Nwds1V7Bju25R+H6rIzhaLCjo3ymkyS43o61hs7e4Fw5q/GrmJWxTNEuyiEuXliFQKrENgEtbeTTWZuDPLh9ZhODZZJg2V0JtG02wV2mh5507zTQg3qCzo+CyGoLjehc72gSa6h41mtqJUGTvwN7dvANrvNjk3n1mDSW20XoFZq83eF8ypUziTaXmfmSqq9+DrzWWzotsauOtPvSqm9CKitETv7AmcuXqRL45RkZuHChSxcuLD2Kio2NpbnnnuOKVOm1O6zc+dO/vrXv9YuIR8XF8eaNWtwdW24eveFF17gxRdfrLMtJiaGEycaHnbXkKsxmTnrbI2IXdjr3D5bgyKE44fr7JfTJmy1NSNn9zt7u6HjCCEcNTYX1vKg1PkROXu/oe0XuvDHx0vRoNE38P924Uez3ke14RMQgA0Fm3AkBedqkBzs1jJ06vNP/KKR2/Xv22wKoK7zPlSKCoSCXQiEXZw5p52prbKfu20/e+WMOJOIKKjUjh9Ax78CtUaFcqasJUmSrnQtdf6+pD4z4eHhvPrqq0RHRyOE4NNPP2XmzJkcOHCA2NhYdu7cyeTJk5k/fz7vvfceGo2GQ4cO1ZvD40KxsbGsW7fuXFAa2ZWnuc5vErri1GsWaf4JXs3ZlAPqtbnoGh6V0KzjNtF1pGMvHylJktRxXVLWMH369Dr3FyxYwMKFC9m1axexsbE8/vjjPProozzzzDO1+8TEXHwuAY1Gc9GhmJIkSZIkSQ35zZfzNpuNr7/+msrKSoYOHUp+fj67d+8mMDCQYcOGERQUxOjRo9m27eKdzZKSkggNDSUqKorbbruNjIym+1GYzWaMRmOdP0mSJEmSrk6XnMwcOXIEDw8P9Ho9999/P8uXL6dXr161c0S88MIL3HPPPaxevZr+/fszbty42sXlGjJ48GAWL17M6tWrWbhwIampqYwcOZLy8sZnU3zllVcwGAy1f506Na8TnCRJkiRJV55LHs1ksVjIyMigrKyM7777jv/+979s3ryZ0tJShg8fzvz583n55Zdr9+/bty/Tpk3jlVdeadbxS0tL6dKlC2+//TZ33XVXg/uYzWbM5nPDLY1GI506dboqOwBLkiRJUkfllA7AADqdjm7dHHMIDBgwgD179vCvf/2rtp9Mr151p3Lv2bPnRZuNzuft7U337t1JTk5udB+9Xo9ef/EF4yRJkiRJuvJd9hAYu92O2WwmIiKC0NBQEhMT6zx+8uRJunTp0uzjVVRUkJKSQkhI4wuVSZIkSZIknXVJNTPz589nypQpdO7cmfLycr788ks2bdrEmjVrUBSFp556iueff55+/foRFxfHp59+yokTJ/juu+9qjzFu3Dh+97vf8fDDDwPw5JNPMn36dLp06UJ2djbPP/88arWaW265pWXfqSRJkiRJV6RLSmby8/OZO3cuOTk5GAwG+vbty5o1a2pXwn3ssceorq7m8ccfp7i4mH79+rF27Vq6dj23KmtKSgqFhYW190+fPs0tt9xCUVERAQEBjBgxgl27dhEQENBCb1GSJEmSpCuZXM5AkiRJkiSnaKnz9xU4bawkSZIkSVcTmcxIkiRJktShyWRGkiRJkqQOTSYzkiRJkiR1aFfE8tRn+zDLNZokSZIkqeM4e96+3LFIV0Qyc3YdJ7lGkyRJkiR1POXl5RgMht/8/CtiaLbdbic7OxtPT08URXF2OA06u35UZmamHD7eimQ5tz5Zxm1DlnPrk2XcNpoqZyEE5eXlhIaGolL99p4vV0TNjEqlIjw83NlhNIuXl5f80rQBWc6tT5Zx25Dl3PpkGbeNxsr5cmpkzpIdgCVJkiRJ6tBkMiNJkiRJUocmk5k2otfref7559Hr9c4O5Yomy7n1yTJuG7KcW58s47bRFuV8RXQAliRJkiTp6iVrZiRJkiRJ6tBkMiNJkiRJUocmkxlJkiRJkjo0mcxIkiRJktShyWSmDZw8eZKZM2fi7++Pl5cXI0aMYOPGjXX2ycjIYNq0abi5uREYGMhTTz2F1Wp1UsQdy6ZNm1AUpcG/PXv21O737bffEhcXh5ubG126dOGNN95wYtQdT3PLec2aNQwZMgRPT08CAgK44YYbSEtLc17gHUxzyvmFF15o8HF3d3cnR98xNPezLITgzTffpHv37uj1esLCwliwYIETI+9YmlPOaWlpDT6+a9euS3sxIbW66OhoMXXqVHHo0CFx8uRJ8eCDDwo3NzeRk5MjhBDCarWK3r17i/Hjx4sDBw6In3/+Wfj7+4v58+c7OfKOwWw2i5ycnDp/d999t4iMjBR2u10IIcTPP/8sNBqNWLhwoUhJSRE//fSTCAkJEe+9956To+84mlPOp06dEnq9XsyfP18kJyeLffv2iVGjRon4+HgnR99xNKecy8vL6+3Tq1cvMW/ePOcG30E0p4yFEOKRRx4RMTEx4ocffhCnTp0Se/fuFb/88osTI+9YmlPOqampAhDr1q2rs5/FYrmk15LJTCsrKCgQgNiyZUvtNqPRKACxdu1aIYTjRKtSqURubm7tPgsXLhReXl7CbDa3ecwdncViEQEBAeLvf/977bZbbrlF3HjjjXX2e/fdd0V4eHidHy+p+Roq5yVLlgiNRiNsNlvtthUrVghFUS75x0lyaKicL3Tw4MF6vzNS8zVUxsePHxcajUacOHHCiZFdWRoq57PJzIEDBy7r2LKZqZX5+fkRExPDZ599RmVlJVarlY8++ojAwEAGDBgAwM6dO+nTpw9BQUG1z5s0aRJGo5Fjx445K/QOa8WKFRQVFXHHHXfUbjObzbi4uNTZz9XVldOnT5Oent7WIV4RGirnAQMGoFKp+OSTT7DZbJSVlfH5558zfvx4tFqtE6PtuBoq5wv997//pXv37owcObINI7tyNFTGP/74I1FRUfz0009ERkYSERHB3XffTXFxsRMj7dia+izPmDGDwMBARowYwYoVKy794JeZaEnNkJmZKQYMGCAURRFqtVqEhISI/fv31z5+zz33iIkTJ9Z5TmVlpQDEzz//3NbhdnhTpkwRU6ZMqbPto48+Em5ubmLdunXCZrOJxMRE0aNHDwGIHTt2OCnSjq2hchZCiE2bNonAwEChVqsFIIYOHSpKSkraPsArRGPlfFZVVZXw8fERr732WhtGdWVpqIzvu+8+odfrxeDBg8WWLVvExo0bRVxcnLj22mudFGXH11A5FxQUiLfeekvs2rVL/Prrr+Lpp58WiqKIH3744ZKOLZOZ3+jpp58WQJN/CQkJwm63ixkzZogpU6aIbdu2iX379okHHnhAhIWFiezsbCGETGYa09wyPl9mZqZQqVTiu+++q7PdbreLP//5z8LFxUWo1Wrh4+MjXnjhBQGIXbt2teXbandaspxzcnJEdHS0eOqpp8T+/fvF5s2bxejRo8W4ceOu+ua8lizn83355ZdCo9HUaaa+WrVkGd9zzz0CEImJibXb9u3bJ4CrvumptT7LZ82ZM0eMGDHikmKSyxn8RgUFBRQVFTW5T1RUFFu3bmXixImUlJTUWfo8Ojqau+66i2eeeYbnnnuOFStWcPDgwdrHU1NTiYqKYv/+/cTHx7fW22jXmlvGOp2u9v4//vEP3nvvPbKyshps1rDZbOTm5hIQEMD69euZOnUq+fn5BAQEtHj8HUVLlvPf/vY3Vq9eXWdEyOnTp+nUqRM7d+5kyJAhLf8GOojW+DwDjBs3Di8vL5YvX96i8XZELVnGzz//PC+//DI1NTW126qqqnBzc+OXX35hwoQJLf8GOojW+iyf9f777/PSSy+Rk5PT7Jg0zd5TqiMgIKBZJ0CTyQSASlW3e5JKpcJutwMwdOhQFixYQH5+PoGBgQCsXbsWLy8vevXq1cKRdxzNLeOzhBB88sknzJ07t9Evi1qtJiwsDICvvvqKoUOHXtWJDLRsOZtMpnqfdbVaDVD7eb9atcbnOTU1lY0bN/62PgZXoJYs4+HDh2O1WklJSaFr166AY5oNgC5durRc0B1Qa3yWz3fw4EFCQkIuLahLqseRLllBQYHw8/MTs2bNEgcPHhSJiYniySefFFqtVhw8eFAIcW5o9sSJE8XBgwfF6tWrRUBAgByafYnWrVvXYPWmEI7/h4ULF4qEhARx4MAB8eijjwoXFxexe/duJ0TasTVVzuvXrxeKoogXX3xRnDx5Uuzbt09MmjRJdOnSRZhMJidE23E1Vc5nPfvssyI0NFRYrdY2jOzK0VQZ22w20b9/fzFq1Cixf/9+sXfvXjF48GAxYcIEJ0TasTVVzosXLxZffvmlSEhIEAkJCWLBggVCpVKJjz/++JJeQyYzbWDPnj1i4sSJwtfXV3h6eoohQ4bU6wuTlpYmpkyZIlxdXYW/v7944oknRE1NjZMi7phuueUWMWzYsAYfKygoEEOGDBHu7u7Czc1NjBs37qrvK/NbNVXOQgjx1Vdfifj4eOHu7i4CAgLEjBkzmjwhSw27WDnbbDYRHh4u/vKXv7RhVFeWi5VxVlaWmDVrlvDw8BBBQUHiD3/4gygqKmrDCK8MTZXz4sWLRc+ePYWbm5vw8vIS11xzjViyZMklv4bsMyNJkiRJUocm55mRJEmSJKlDk8mMJEmSJEkdmkxmJEmSJEnq0GQyI0mSJElShyaTGUmSJEmSOjSZzEiSJEmS1KHJZEaSJEmSpA5NJjOSJEmSJHVoMpmRJEmSJKlDk8mMJEmSJEkdmkxmJEmSJEnq0GQyI0mSJElSh/b/ofkg0yvR0lsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"13May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state VA\n",
      "clipPoly 0 intersects [0, 50, 56, 58, 62, 63, 94, 109, 118, 121, 129] counties and a total of 33 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 550 is inside the map's convex hull\n",
      "working on confirming HD center 1193 is inside the map's convex hull\n",
      "working on confirming HD center 1746 is inside the map's convex hull\n",
      "working on confirming HD center 2324 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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o+4VktysYcPvHNOrhjm9TSS/V8NK0Plwbf3LC6p1HithY18S6+AiCThPI9KQ6g4lFJdUcbmnDLMChljbqjCZ626t5JsyPEa5nv2u23mJhWHImAWoly2PDeixIymnUMvvHA5TlNdI3xoOfb4ynqbac6sXXEGrIIT3+ZeKnzO2Ra4lEorMnBjPHEYMZ0T9ZbWUJNZ9NJ8yQyf4+T5JwzUPsL25g3jcpACy6KY4BgS4nnffXyMWH0YFc7e16vrvdThAEdmu0vF5Qwe5GLY+FeHNfkNdZLeVeVlHPfZnFbB0cRYRdxyuvuuuWNYfYsLWIUD9HVtycgI3URNqimxnUuIZdfrNJuPltpDLZmRsSiUTnVE+9f4tp/iLROZSzfyuWRZfgYSwjf/IyEq55iB/2lTD94934Oduw6u5hpwxkABYW19DH3oarvE79+vkikUhIcrbnp9hePBTszasFlXxQXH1WbX5RVssoV4dzEsgAfDaxD2MvDaOgqoXJH26npMlC/L3fsTvsPhJKv+Lg21NpbdGck2uLRKLzTwxmRKJzZO8vCwj85Uoa5e5YbttMWNwYnlt5mEeXp3HlQD++vz0RT8dTv5lX6o38Wd/Ezf7uPVrMrrW1gNzc12nUpHT5XKlEwsMh3jwY7MUr+RVsqmvqVh/qjSYONLdyhee5DdLeHxaO+0hfGsxmpn20g225dSTOeIG04QuJaNlHxTsjqSzJPad9EIlE54cYzIhEPcxkNLD7o9sZdOAJDrqMI/ChzcicfLlpcTLf7C7ipSv68MqVfVHJO57m2NnYAsA4t56dNj2YNpei4o9JSbmW1taCbrXxcLA3Q53teTq3DJOl67PUezVaAJKcz+0mknYyGQ/G+FMf74aDuw2zvtjD59sL6D/mOqqvXYmtuRn5Z2PI2rfxnPZDJBKde2IwIxL1oIaaCjLfHEdc1XKSo+cz6N5vya03MfXDHeTVtPDdbYnclBh0xtGWfRotvWxVeCgVHR7TajBhNFs63TdBENDpSvnrn71Wm9fpc48nlUh4rpcvea16vqmo6/L5JToDKqmEALXylK9r9Sbu/DaF6z7ZRXFda7f6+JervFyYHeSJYaAbxiB7XvjtCLcsTcU/ahDKOzZTo/AleNW17Fv18VldRyQSXVhiMCMS9ZC8tJ3oFgzHT59P9oRvSJj+OCvTKrh60U5c7ZSsvHsYg0M6l8hbZTDirzr1mz3ApqxqYl/4g2GvbaRC09apNiUSCSHB9yCRyPD2vgJ39+4vU+7jYMtkDyfmZ5dyf0YxzSZzp8+tN5pwVcg7DOh+Si1lw5FqdufXc8kbmwDQtRjZuiyb1HVFCF0YDVJJpbwa4c++Ib356bo4/OO9+DOtkrEfbUdq70noQ3+S5jyG+JRH2fXp/VjMnb8PkUj0zyEGMyJRD9i3+lN8f7ocrcwR/c0biUqcyCu/Z3Df0gNM6uPDj/OS8HW26XR7DUYzLoqOp6G+Sy4m3NOeqiY90xbs7HS7wcF3MGpkBr1j3moPJtqaDRSm1WI0dO2NfEFMEC+H+7G6ppHJKTkUtek7dZ4EON0aSqVMivlvB+z+NY+sXRXsWpHHtmXZ7V/XGc3sK6xH34lgKsHZns1XxjFxci8Kq7WMeX8rJU1m4u/7nt2h95JQ+iUH3r5cTAwWiS5CYjAjEp0Fs8nEro/vIn7vwxx2ugS/B7egdg9i9hd7WLy9gKcvi+Gta/ujPk1gciq2Mimtlo6nkMI97cmosCbg3jo8pEttHz8iYjZa+PHVfaz+KI3PH9ne5VGPm/09+D0uAr3Fwo1p+TR1IqhwU8ipM5roqCrEtIF+zEgMYmp/X/Y8aR090mmN2DhaR6qqi63bNQiCwHWf7ObqRbsY/tomTJ2YcpNLJSwcGsHkyyOoM5uZumAHW3JqSZz5ImnDPiKqZQ/l74wSE4NFoouMGMyIRN2kqa/h8JsTGFz+LbvDHyTu/h8pboapH+4gvUzD1zcP5pZhId1ajeSqkFFrMHX4+v1jI3jh8j58OjOeW4eHdvsemuraaK7TAWDSm9sDDF1mJvlXTKNk7jwsWu1p2wi3U/Nd/1CqDUYeyiw54zUD1EqMgkCxznDK11VyGc9N7c371w9o3yl74ARrnpFfpDNT7o0FoLbFwIGSRgCqm/VUNuk6c8tIJBLeHRhCwMgAFG5qbv5yL59tL6D/2OupvGYV9uYmMTFYJLrIiMGMSNQNhRn7aP5gGEG6DI6M+YrEG59l3ZEqpn20A1uljFV3D2NoL/dutx9lZ8ORljYMHYzOKOVSbkoMYlyMV7evAeDkYYOrr3VVkXuAPZKjGzzWLlyEpbWVli1bKLnjzjO2E2ar5pVwf1bVNLK5vgnLaeaR/tqSIbe1c9NSAJ5Bjtz4fCJXPDAQlY11zyg3OyVR3tZqxBIJ7RtNdoZSKuWZKD+q+jgxaZA/L/52hPk/p+MfNQj5vE3U/pUY/NsnnW5TJBJdOOd+JzmR6F9m/7qviNz5CFUyH1pm/ELv4CjeWp/FBxtzmdzPhzeu7oftWWzSqDWZ2VTfRJtFIFuro4+D7Vn11yIIHW4XIJVJufqxeOrLtXgE2rePIknt7TBrrLkjypDOTWNN83Lhk9IarjuYj0oqYYSLA9f7uDLB3emE66+v1WAjlZLYwYaZnSWVSvhhXhIphQ0MDnE9YU+rzhjn5kigjQq1rwNvBLry5IpDFNRqWXhTHMEPbiBt0WwG7XuEXZUZJMx5U6wYLBL9g4nbGYhEnWQxm9nzxSMkln5Gqv0lRM5dgllhxwNLD7Axq5pHJkRyx4iwsypyd7iljdnpBdQajNwd6MW9QV4opN1vb3llPQ9llTDAwZZlsWGopJ17wzfV1lLz3nvIvbxxv2Mekk6+kTeZzOxqbCGvVc/K6kYONLcSZafGVialyWTGW6lgj0bLCFcHlvTr/vRYT3kpr5zvK+o5NLQ3KUUNzF2Sgp1KzuJZ8YR72LH7m2dJyPuAA/bDibrjG2ztnS50l0WifxVxb6bjiMGM6Fxr1tST9/EN9NPuJjn0ThJnvER+XSu3fb2PmmY9718/gFGRnmd1jSMtbVx9IBc/lZJP+wQT3AMbS47ck4neYqGgzcAcP3deifDv8FizuZXWtmLs7SJ7rOpwcmMLi0trsZVJcZbLKNcbKWjTMz/UhzGnKQhobtEisz+3RfUA1tQ0MudQIWlDeuOpUlBSb/2elja08f71sYyO8mL/+m+I3PEg5XJ/HOb8iJd/2Dnvl0j0XyHuzSQSnSfF2Qeof284oa0HSR/xCUmz/sfGrBqu+HAHUomElXcPO+tARms2Mye9AF+Vkh9jw3okkAEIVCspaLMm2o48zW7XZrOO5D2XsWfPZNIPdZwjY7YI6IydX8Kd4GzPp32CeS86kOfD/fi0TzAbBkWeNpApf/JJsuPjKX/iyTO2X1dawo4fvqW2uPCk1zSrVpE1OIGSu+5GMJ06mbqXrTXPJrvVmjwc4GrL8juGkBjqxi1f7WPxtnxix91IxdUrsTc3IV08huzUzWe+cZFIdF6JwYxIdBoHNy7F5dtLAQmaG9fSb9Q1fLgxh1u/3kdCqBsr7hxCiPvZjyC8ll9JtcHIJ72DcVb0XCrbW1EBPBjsxZK+IUxwt06RpG1Yy4Kbr2P1wvfY1dBMo9FEc8th2tqKAKipWX/KtqqbdYx8cxOxL6xnc9bZbTTZEXNzM5qffgZA8/PP6PPzOzzWYjGz/KUn2f3T93z1yN3oWlpOeL12wUdIVSpa/vyT2kWnrvDrcHRLCd1xS9LtVXI+mRHHvBFhvLQ6g8d+SiMgejDyeZuok3sT+OvV7Fv96dneqkgk6kFiMCMSnYJgsbDry8fpu2UeuXYDcL1vK66Bvbnz21TeXJ/NvaPD+WRGHA7qjrcb6Kxag4mvymu5N8iLUNueGZH5i4dSwaMhPoxzP5br8ecvP6FV2/OWxJFpB/KI2n4IvSIEudwZAJPEBqPZeFJbaw9VUtGoQ2e0MPuLvT3az79IbW2Re3u3fy737HjEy2Qw0NJQ3/55S8OJWyvIPT0x1dQAYNO3zynbEDj1LLtUKuGxS6N4+9r+/LK/nJsWJyOx9yT4oT9Jdx5F/N6H2fXZQ2LFYJHoH0IMZkSiv9E2N7L/rctJKlxIcuCt9H/oN+pNKq78aCdbs2v4eEYcD4yLQHoWibnH+7a8Dikwy6/7S7k7q6ioCI27H62e/uSFxOAiBd/GGj5Z9BV7csbzXZ0j80vg7o13n3RumId9+8aSoR7nJp9FIpMR9NWXeDz0IGFr1yCzt+/wWKXahgGXTgGg/7iJuAcEnfC676uv4DprFv4ffoD9iBGnbKNKb51+cutgNOzKgf58f3sC+bUtXL5gB0UaC/H3LWNXyN0klSzmwDtX0KZt7s6tikSiHiQmAItExynLP4zhm+vxNFeRPfQtBoy/iW05Ndz93X5cbBV8MjOeCK+Oc0+6Y2pqDh5KOZ/16Vol3+7Yu3cvv//+O4IgsCEqjlyvAKYe2EaMDBrr66h0KmOH625cFQ5sueHkbRLWHqqgQqPj+sGBXa5qfK6YTSZk8u5Nze1pbGHq/lw+jA7kau+O980qbWjltq9TKK7T8v71AxgT7UXquiVE7XyIMnkATjcvx9Pv3H//RKJ/GzEBWCTqYelbfsb+63EoBAO11/1O7Lgb+WRrHrM+30NsgDO/3jWsxwOZNrOF/U2tDHHueATiTARBoObDBZTeex+GwsLTHuvktJtGnxo2S/yZkWbko72tDHVxpk1rzTeRCDUM1On4OTcD2hpPOv/SPj7MGRqCWiFDp9OhPUN14POhu4EMwCAnO6Z5OvNETikFpyni5+9iy/J5SQzt5c6tX+/jk615DBh/ExVX/YKDuRHJp6PITt3S7X6IRKKzI47MiP7zBIuF5O+eZ1DOexy2iSdo7lKUdi48/nMavx4oZ96IMB6ZEImsh6aVjpfXqmNociY/xYYx1OXUgdKRHeUUpdcxYHwg3qEn1zlp2bGDkltubf88OjPjlO0YjU0sW3spT+04tkpoO45IRrmzU5+L1MWJaX9ORfpXHsnDOWB/6pyV6upqPvvsM/R6Pddddx1RUVEAaJoOIpUocXCI7tT9W2+gBurzwH8wHFcHZ23hWn7L+40bom5giN+QTjf316+0zi4v1xhNTErJodViIdHJjl62avo52CCVSGg2mfFWKYiyU+OskGOxCLz1RxYLNuVxdZw/L0/rQ3NtGXWLrybImM/hwa8SN/nWM19UJBIBPff+LVYAFv2ntWmbObxoFonNf7LLbyaDb36HyhYjty/aSV5NCx9cP4Ap/X3P2fXrjy5zduugYnBTXRublmQCkH+ghrsWjT7pGEF/6j2O/k4qVYDkxJL/Uls5DsPDeCtNoLDNwPZR3/POgfmQeGeHgQxARsaxgGnp0qU899xzVFat4vDh+wGIjnoVX99rTjjHZBGQ/z0g1NbCRwnQWgfh4+HGH633bWhi/rb5mCwmtpRuYdHYRSxOX0yiTyJz+8/tsF8t2hwO7J8FEgkDB3yDre2Zp36cFHK+6RfKu0VVFLXp2VzfTMPfNsxUSCSMc3Pk7kBPHpkQRbinA4/+lEZhrZZFM+IIemgThxbOJH7vQ+yqzCRh9mtixWCR6DwSgxnRf1ZFURatX19HjKmMlIS3SZp0C7vz67jr21TUChk/3zGUGN9zO9JnPjqKIOPUowhm45l3gra/ZDhOV12JPicX76ef6vA4mcyGS5OeIbP5AIfqonkwqQ8+/XzY0aKl8Ggtmu8tPrxz34EzXtPHxwe93jot07t3bwDq63dgYxNMW1shGZmPtwczRovAjWl57Gxs4aVwf2Yfn+hclmINZAByji0JN1vMmC3HAorX975OeUs5+6r24W3nzeW9Lj9lv8rLloIgoDdU8fv2cdhHfMglfpdgqzj9lhAhtireiw4ErCM7JToDMokEB7mMcr2BbfUtfFNRx6TUHG7wceWFvn4sdbPl9q9TuPzDHSyeFU/c/T+y++unSCpcQOo72UTf8S02dj07LSkSiU5NnGYS/Scd3rEa3z/m0SZR03blEkL7JLBkdxEvrDrCoGBXFtw4EFc75TnvR45Wx/A9mfwyoBeJHeTN7P4lj4K0WhKmhhIa69Hptjs73VJjMDJkdwbNZgueSjlpQ0+9jPnv8vLy0Ol0REdHI5VKqalZT1r6HQD07fMRnp4TAGsV4Mv357afVzkqFkEQWFpZT3NjFbetnISkrQFCRsCslQiCwIE/Svi1+gcO2u9kTt/ZfHHoC0qbS9GZdbw87GWmhk09qT/mxkZybpiKpbiaNh8H7r3RTJPEiFKqJGVGSqfu6XTMgsCS8jpeyivHT63k674hKPQWbv1qH0V1Wt69bgDjYsTEYJGoK8TtDI4jBjOizhIsFpKXvUp85htkqvvhf9sybJw9ePqXQ/ywr5Sbh4bwxKQo5F3ctLC7Wkxmwrel81ZkADf4uvVYu8ZKLTWfH0Iil+Jxa1/krtbppVaDibfXZyOXSbl/bDjq8mQo2UNR9HQOmNWMd3PC5izuXavNQyKRY2t7bJl0qc5A4u4jmI7+pqkcFcv6Wg0z0wsA6I+GdcFSCBoCUhkFB2v4fWF6+/l3LRpNalUqHx74kESfRG7vd/tJ120zW/jyw0+4ZNH7SI/+Srt2/rGB5zWBD1KsiiQuLg6V6uxq+WRrdcxKz8cswNr4CNQCPLjsIOuOVPLohCjmjQglL20nDitmIMVC4+VfEz7gkrO6pkj0byXmzIhEXaRr05L+8S0kNq5ht/f1xN/6PnVtFmZ/vJsjFU28dU1/rorreO+ic8FeLqOvvQ07G1t6NJhp2VWORCrBXK+j8vW9+L86HIDF2wr4JrkIozKTHSUf8031EpxMRoI2PEvQc5qzvq6d3cn7FvmrlSztH8auxhZm+lqnmIp1BpQSCQZB4CBOEBLbfrxOawQJHF/PbqDXQD6f8PmxLxi0UF8AXr1BImFhehabZDaMPBrIWGwgwOhOiaKWIc0y/Lfczw4uY+vWvjz++ONndY8RdmqW9Q/j0pRsrkjNZbqPKw9MiyHcy57X1maSU93M/6Yl0uK12ZoY/MuVpFS8RtykW87quiKRqGPi0mzRf0JVaR7Fb42kb8MG9g18lcQ7FnGwXMtlH2ynUqPjx7lJ5z2Q+csIVwf+qGtC24PVZGUuaszN1jwYm/7HpqY0bUbcFGVEKz6nUPkHwwJ8euyafxEEgTf3vsmUFVP4o+gPAIa5OPBIiA9eKmvF5Ms9nQmyUeIsl/HLgF4nnB820JOAKBecPG24+rH4ky9gbIOPL4FFQ+H762nT6fllfTr75YG8etNcvrjsaqpeMnBvSDFPZsyn76G3KDdE425bi06nI+3PdWd9j4E2Kr7sE4JaJuGtwkpG7M1im7uUR6+I4be0Cm74dDeCnZc1MdhpBHF7HmTXZw8jWM6cAyUSibpOnGYS/etlJq/Hfc1tmJDTfMWXhMcOZ+meYp7+9RD9/Z1ZeFMcHg49u41AR4wWAbnkxDyW4jY9ibszeDnCnzk9VAVYMFlo2VEGcin2Sb5Ijq4iKi6ppmTaZFxbWkiOlPDWlTLSC0th4usw+LauXaQuDzQlEHzJCUuqcxtymbZyWvvn6bPST3X2CTk9en0VRcWLcXToi7f3yfkwJyjdB4vHtH/6/YT9zP/1CCBBprTwysiXcKMWXYUz2b9Ho3S4GT+XTTwwZjJTfl/BoLpmrnzzJew8Oi6S1xU6s4X1dU28VVhJXquOeQ7O/Lo2F6VMyqcz44n2tmf310+QVLiQFPuRxNzxjZgYLBIdJU4ziUSdkPzjmww49D9yVTF43bKUIDdfnv7lEEt2F3FjQiDPTumNUn7uBiiNFoHVNY0sr2rgYHMrNQYTNlIpITZKJnk4c52PK4E2Kq7wcuHNgkou93TGtQc2mpTIpTiMCDjp626leWiPbsiYkCXw8tCX4PpxoDz9ap+T1OZaR0ZMOoieAtO/aX/JRmHTuT4eF9BlZj5FXf12BMGAIJjw8bmy4xPdw8HWzboKysYVjUFAJZOgN4PZIMWvdAh5xcnUHHYBSyPl7jJeHjENi0zKr7YjsFcqaHjrMDYvDEGqPPvl02qZlKmezlzq7sgLeeV8WFrL41dFs+GPfK5etJN3pscyYfarpK6NInrXo5S+MwqnOT+KicEiUQ8Sp5lE/0oGvY7k92eQcPhF9ntcTvjDfyLYeXDT4mSW7i3mf9P68vK0vuc0kElrbuXSlCzmHSmiwWhihq8bb0cG8FiINzH2NiwsqWZYcgYfFVdzm78HdUYTB5taz1l/AFRRUUidrIX3FKEhTO11eYeBjLlFS+3ChWhWrjz5xZJkayADkLHqhJf87P14edjLTAiewNLLlnaqX3pDNWq1dcpL03QAgD+L/2TkspHcu/FejJbjNr5UO8HcrXDtEnjwCFcN9CfSx4lgN1t+GhaB15FL0R4JBouE8XPvZ8L9AwioNWGzuwpBIeWrcDX7nWXk/pZPWVYDTYYmemKAWimV8mIvP27zd+eNyhqeuiGWUZGezF2SwoJNuQyYMIvyK3/GyVQHn44mZ//Ws76mSCSyEqeZRP86teVF1H5xHaGGbA70e4rBVz1AeqmG25fsw2gWWHTTQOKDe2aKoSOb6pqYfaiAcFs1b0YGEOt4csCgNZl5vaCST0pr2nNdM4f1wbmbIzMGXRtGnQ47Z5fTHqfLLqJ28Z8oAvrhNqMPcmf1KY+rfOFFGpcvRzAY8HjwQdxvP24aqqEIFg0DfRMk3AETX+1Wn/9SU/MHGZlP4OjYl359FyKVqrh65dW0GFsoayljVswsHh708BnbadpQRPO2Mkw6A2aLkZDXxlD42Y88U+7FNp0WfZIngoMCX101V28WcNIo2NjrK6YMyCZUaYG6MUjNsagGjMbR0kRFaTFxcXE4OHR+WshoEZicko3OIrAhLoIFm3J5788croj15dWr+tFSU0r951cTYCzkSMKrYmKw6D9NXJp9HDGYEf0lO3UzzivnIEGgbvJiogaNZcX+Uh7/KZ0oH0c+vikOb6dTv3n3lBSNlisP5HKJiwOL+wSjkp5+9Gd1TSO3HCoErMuWT0UQLFRU/oxEIsfb6/KTasdoqqv45okH0DU3cemdD9B7xLGckpqiAjK2byYyaTheob3QrC+kZWcFgs66Y/RfK53+rnjuXExV1egzM1HHxBDy808nHtBSDc2V4NPvtPfXXfP+mEdyZTImi4nXhr/GpNBJpz2+oFaLkwDmX/MRzBZcr4tCu20DJY8+wbQ3PkNnsfC/HBOjGlfhL/0IMzKWVC9C45/JyPBPCCzVUeGl4vbkZyi18UeJiemqA8gkAo9dczc2vTufz5TW3Mr4fdlc6+2Ch1JBWUEjGzYVEuXjyOez4nGUmTi8cAZxzRvZFXg7ibNfQ3KGnxOR6N9I3GhSJPqbPSveJ/jXq2iQe8Ltm+k1cDQv/XaEB5YdZEp/X5bdnnjOA5lWs4V7MorpbW/TqUAGYLKHM9/0C+XtqJNzXP5SWvYtGRmPc+TIQ2RlPX3S63kpezC0Wjd9XPvRO+1ft1jM/PS/Z9i78ie+mX8/rU0apGo5wtFy/XL3jvNb3GbNwlhaiioigoDPFp98gL1nlwOZsrIyKioqOnXsc0Oe49qIa3l1+KtnDGS+2V3EqDc3M/CtzTROCcZzbn/kTiqkBeuJmlrCoswnGKATGFVtxoM/0VmikGFmsOs7bPT+Hc90DxwbBWKyW3CwtT4bA3LqBeuIWt2SU+931ZF+Drbc7u/B6hoNv1U3sl1tQTvInfSaZi55Zyt7qvUMfOAndgXNI6n4E1LfuRJda0uXriESiY4RE4BFFz2jQU/qp3eSULOcPa6T6T93Ma1mObO+2MPu/HqemxLDrCHBnd548Gx8WlJDmd7A1/0iOxXI/GWs2+n/ItFqc1GrfdHpyigr/56oqJdOeN0rtBeWo0u7A/vGtn/dZDCg1TS2f96qacQtyR9zkwEsAo4Tgju8pt2QIUTsSQaJpEee3ZEjR/jhhx8AmDx5MoMGDTrt8d523sxPmN+ptn9LKycuyIWUogbuXXqANfdZR5vshV1o7JUkGfdSV/YlcAMGSyQOcmse0Av9ZtEn2YOftS7YSBu5zPlF4lu96aVNpU1owBjmw9gjbZgdSrt8vy+E+/FCuF/75zUGI19FVvHRLxnM/DSZOy6L4rE5r5G6NpqYXY9Q8vZInG9ejodvcJevJRL913VpZGbhwoX069cPR0dHHB0dSUpKYs2aNe2v5+XlMW3aNDw8PHB0dOTaa6+lqqrqjO0uWLCA4OBg1Go1CQkJ7Nmzp+t3IvpPqq8uI/vNsQysXkFyzJMMuucb8htMTF2wnYyKZr65JYHZQ0POSyBjsFj4vKyGa71d6WXbsyNAvj5XYTRqkMudSBj8+0mv+0VGM/25V5l836Nc9cTz7V9Xqm0YNOVKpDIZAyddjntAEBKFDOfLQnGeGoZUdfrVPBKptMeeXX5+Ps7OzgCsXr26R9r8y+BgV1KKGgB47NJIALIbsnnAu5WUIXbsGuyKk10KO6t/ZXd9f+ZFP834gZ+w2SORQq9iDvpsQimzZ3f9U7i0VRKk3Ut0SzbTV/6A276VtG56gT2//caKFSuoqanpVh89lAoejvZn272X4OFnz8JfM7j/t0MMmDCLsitX4GSqQ/hkFDkHtvXYcxGJ/iu6lDOzatUqZDIZ4eHhCILAV199xRtvvMH+/fsJDg6mX79+9O/fn+eft/4yffrppykvL2f37t1IO/grddmyZcycOZNFixaRkJDAu+++y48//khWVhaenh3v2ns8MWfmvyn34A7sV8xCgYGqSz8hJvFSVqdV8PCPBwlxt+OTmXH4u3RxyfFZ2FDXxE1p+WwcFEmMfeeWJ3eF2axHIgGptOs1cQRBOC8B3elkZ2fz3XffAXDVVVfRt2/fHmvbbBHYnFWNn4sNfgoD6z9+n1XuaYS6NZJdOZAEzwxi3LJJ+zwCi1HG91NvpdQ3GEVbGs41bzCopTcvlNxFirKMPfIcFBYzdrlpjErLxcXXj9q6OtZMPjbVNfPR+TyeXYKPSsnrkf5dGoUD0JvNjF+6j6L0Wsb39eb9a2P/lhj8OnGT5vTY8xGJ/qn+MQnArq6uvPHGGwQEBDBx4kQaGhraO6TRaHBxcWH9+vWMHTv2lOcnJCQwaNAgPvzwQwAsFgsBAQHcc889nS47LgYz/z37Vn1M731PUSoPxGH2Mjz8wnhrfRYfbc5jan9fXruqHzY9UEOkK17ILWdFdQOpSTEXPHD4p6qtrUUikeDm1vHWDfriJsx1Omz6uiP529J5i8X660oq7fj5/vn5QrJ372C7VwFp8pk0t1krO79R+RbemfXkj7VliJ2MAkdniqP6kLnqNybqp9AYNIr741wQBIGb85cRaC5jTHMMui+/oyE4mPWJCe3XqLpmNskaLeV6I+PdHPm6X2iXn4XGaGLIL6m0Hqilv68Tn8yM+1ti8FwSZ78qJgaL/tUueAKw2Wxm6dKlaLVakpKS0Ov1SCSSEzZxU6vVSKVStm/ffso2DAYDKSkpJwQ6UqmUsWPHsmvXrg6vrdfraWpqOuFD9N9gMhrYvehO4lMe5ZDzSAIe2oKNexC3frWXRVvymD8xiveuiz3vgQzA/mYtg5zsOgxkBEGgpqYGvV5/3vokCAIZ2zZx8I817Tk1F5K7u/tpAxlDeQs1Cw9SvyyL6oUHT3jtUJmG+Jc3MPz1TRTXdVyPRyqVYTGb6ZvnRGvbsdHd1Ma+uDfqGa8KI1yfxviarUz+9TNuWWvCXbODX+PSeODHT1l33yymHFhJSPQeqkcn0/z7OryW/sCAAQNwdnZm+vTpyCQSTEf/DlR3c2NOJ4Wcd0ZFohvkzqGaZiZ9sJ28RvNxicEfk/rOVWJisEjUCV3+V5ieno69vT0qlYp58+axYsUKYmJiSExMxM7Ojscee4zW1la0Wi0PP/wwZrO5w9ULtbW1mM1mvLy8Tvi6l5cXlZWVHfbhlVdewcnJqf0jIKDjVSCifw9NXRUZb04gvuJ7dkc8Qvx9yyhtEbhiwQ5Sihr4Ys5g5o4Iu2CjIjUGEz5H9x46lU2bNrFgwQJeeeUVWlrOzxtU1q5t/P7hW2xYvICfX32uw+OqqlaTvGcyhYUfnZd+dcRYrm3fYNJYduIz+ja5CDuVjLLGNi55Y1P71y06E5r1hWj3VSIIAoOvuAa1vQM2chu87QQkMmvgszLMmhTc+O0+ag7ZA2BvtgOgaVgZ4VUZTNy6FakgYL9ZhqwGGpuymJpTy9D9ebgMH83d997N0oallOc+SqSshDl+7nwYHdjt+x3v7sR3w6PwGeVPDRYu/2gny9MqSJrzGimD3yWmaTu5703GaDh/AbBIdDHqcjATGRnJgQMHSE5O5o477mDWrFkcOXIEDw8PfvzxR1atWoW9vT1OTk40NjYycODADvNlumv+/PloNJr2j5KSkh5tX/TPU3A4mZYPhxOgzyZz7Jck3vAUGzJruGLBThQyCSvvHsaICI8zN3QONRrNOMk7HhE6dOhQ+6jE5s2bu3UNQRDIzX2dlNTr0WgOnPH4+rISVHbWN+yitP0dHpeZ9QwtLZnk5b9FfUPHo6LnmjrSBamDEgDnqSfuwB3gaktFo7Xq8PT4Y3/AaH4voGVbGQ3Lc2jeXIK+VYvBkodN71LqbTYgmK15Uw1xvvw26QoAag85wviXsH1lH1UhIQgtCi5rckE14iGkLtZtBn5ST+ORHS+h3lSBrLCFezOK2Vm+k59zfian4QiZWY/ySoQ/yrP8/TbKzZGNw3tz9zV9MLmreGTpAW799SADJ84mf8JXROrSSf1k3lldQyT6t+vy0mylUkmvXtZdbuPi4ti7dy/vvfceH3/8MePHjycvL4/a2lrkcjnOzs54e3sTGnrq+WR3d3dkMtlJK56qqqrw9vbusA8qleqE6SzRv1vqmi+I2v0YlTIfJDNXEhMUyXsbcnhnQzYTenvx1rWx2KsufJUBB7mUFlPHuyIHBgZy4MABgDMuSzaZTEil0pP+ENBoUigq/hiAfSlXMWZ03mnbiR42koN/rEFpY8NVT7zQ4XEymRqTtYYeTSYjL29+CFuFLfMHz8dWcf6SqGUOSrwfiUfQmZE5Kk947dZhoajkMmwUMq4bdCyYMWv0yN1sMFZq0WU2oOhtT68pRRSaJciqtiF19aPNdTSCkw1vTZnOZb//gt9778GQ8bQ2N7Np8GCam67mwfpwcAHliPlc3beRYp07yrZ6ABRZGh4f6YsSMz4KCxVGCXDiCOCexhZWVDcy3dv1lBWfT0chlfBIuC+z5nkw+5cDbNhVyviGNtbNvJS9ZU+QcPhF9q0eQvzkLm4GKhL9R5z1O4DFYjkpB8Dd3Vopc+PGjVRXVzN16ql3wVUqlcTFxfHnn39yxRVXtLf3559/cvfdd59t10QXObPJxJ4vHiKp7EtSHEYSPe9rLAo77vg2hXWHq3hoXAR3jep12mTQ80UQBASgydRxXspll11GREQEXl5ep80bycvLY+nSpdja2nLLLbecmBTXxSk0Fx8/bv/oSwRBQK7oeAqsd8zbFJd8hqfHRL4u2EVyZTIavYbshmyWXbasS9c8W1KlDE6R86SUS7ll2MmbM9oP96f+uwwU/va4z+6N1pSNVC4QIBPwUVgoke6l1XEiAGPtVYT9uQGln7X+i729PW1u4WSWn/j9KPQNIKI6l2LU/BW0PPv9Uj4a+hOPeesoxZ8RcV+xZcsWsrOzSRoxghsrdTSbLXxRVkve8L7YyWU0VrWy+5c8XH3tGHTZmUsEeKoV/H7dIO5xPcKqjQXMWHGQb656kJTiHUTsfYaKPpfgExTZnccqEv2rdSmYmT9/PhMnTiQwMJDm5ma+++47Nm/ezLp16wD44osviI6OxsPDg127dnHffffxwAMPEBl57B/fmDFjmDZtWnuw8uCDDzJr1izi4+MZPHgw7777LlqtljlzxGWJ/2WahloKP7mBhNY97Aq7l8Sbnqeovo3bPtlBhUbH4pnxjI3xOnND55BZEDAJAlIkpDZpKWwz8EKvjrPx5XI5MTExZ2x37969uLq6UlVVxeLFi3nwwQfbX3NyHEhI8D1oNPsJCzvzXkUAMvnRf+aCAI3F4OQP0hODBReXBFxcrKt1hJJXkUmsrxvMhk5d40JS93LG95kkAMxmC6m/gNk2FoXDQaabepNVEkRz+VYuve4GhqxaQd7sD3CcOBHfN15HIpFwhECO0MSXFj2XmGUs8N3LiO39iXKUsMxZhb5BhyCREOS+G2NLM3I1+EtKsd+7kk3brSM33/zwI81DJ7f3ackrz+KlVCBRTaCyop6cAzIEARKmdm7V0wfjY6jQ6Ni+t5xvIz2ZcvOnaN9LpOGbm/F8bMux76lIJAK6GMxUV1czc+ZMKioqcHJyol+/fqxbt45x48YBkJWVxfz586mvryc4OJgnn3ySBx544IQ2/pqG+sv06dOpqanhmWeeobKyktjYWNauXXtSUrDov6MoMxXpshsJETQcGrmYpFFXszmrmnu/34+7vYpf7hpKL0/7C9I3g8XCssp6VlY3sk/TSpvFOq1kL5PSy1Z1xkq+neHu7k52djZw8nSURCIhNPT+7jW8Yh6kLQXfgXDrn9BBrsfNfW6mpLkEW7ktzyY9271rXSB5qTUc2lIJ3AlSE1Pnx+CTlkb//v3x9/Mkc9EiAJp++w3HSyfgMHYsjW1GQs0y7JslpCNQX9aXHKWJZK2at1sPMMnlDUpkUhanR3P4zwhcIxuJHm1CuvUtwPpHl9pkxLNaT7WLgiE5uUTVeVNQdwCZ7y4qbTRgA40NXcvp+nZaLP2KGnj+p0NMfngkDZd+SOSa69iz5EmS5rzWw09OJLq4iRtNiv5RDmz4nl7bHqBW5o7shu/xD+vDx1vzeX1tJiMjPXn3ulgc1R1Pl5xLexpbuCujmFKdgZGuDgxzccBLKUdvEUhvaWOiuxMjXDu/u3JHTCYT+/btw8HBgd69e/dAzwGTAV467s105q8QOvKUhwqCgE6nw8am5wv/nWtbV2SQvq4ChV01FpOaxDnB1NfXk5SUhI2NDXmXXYYh15pnFLZ2DcrgYBZvy2fH8lyiDTLsBOs00BvObQBslLyOg7QJNaV8knuszszQWRrsm4tpyQgiWxKKS5yZFlM+v6VN5wVtXxQSCQr5enLIJb1xBkZBSV6SgvlXD8NXrTy54x34Nq+KJ75IISnMje9nD2b3Zw8yqORLcqcsJyp+zJkbEIn+4Xrq/VscqxT9I1jMZpK/foKkokXstxtK+LxvkakduXfpAVYdLOfuUb14YFwEsguUH/NTZT33Z5YQ52jLkn4hRNmduzd6uVxOYmJit84tOFjDvjVF9BroyYDxx5YMm9sELISh4GjCsPepN4gUBIGlS5eSlZVFQkICEydO7FY/zjdBEDDk57NHug6vwDYi+iwiIreFotWhbDdOZPuO7Tzz9DMELFhA488rsB85AgEXKl7fy+Vuaqqd67Crso4G59lokKJgsEmJVuJNkO0hBMGMWjChk1h/ZWpVBlzqjQyWHMTHN5sclQN2KjkvCr4oJXL+cNrK+z4ruf/QAIyNG5EoQoja3oeBfkf4tKWEyZMmI+1EfZrrQj15L86T3clVfLOnmOtmvkre6ztwWH0HLRHJ2Du6nNPnKhJdLMTSkqILrqWpgYNvTyWpaBG7gubR/6FVNJhUXLVwJ39mVPHRjQN5eELkBQtkdja0cF9mMdO8nPkxtleXAxlBEGjeXkbj6nwsrcZz1EurTd9kUl3YxM6fcynNrG//uqGkhRrd89Qb76FC9znYugLWLRiuOZDLdxV1ADQ2NpKVlQVAcnIyBsM/P2cGoOrFF8mffBljn/8colcTlGNArbcQa8xmAluwmC38lPYLyqAgPB+4H9sBA2jaWIJELkWf00hvwZttjib0CHhalMxQplIeK2WXJoayDFdqsuMZ5T+PKI+xtF3iSbOxDYkFBCQYtDJyVgVQt3oIyjZrQDROcwkmiYSCuibMxhxMretpluQDUL2nkF1P/0Lj7/lnvC+ZRMJ3E/og+Nvy/KojlDaZsL/hC5wtGjI+E5dri0R/EYMZ0QVVmnuI2neHE96SwoGhC0ma8xq7CxqY+uF2mvVGfr5zCJP6+lyw/jWbzMw9UkiCkz1vRQai6EZApTtSj+a3fFq2lVH+UvI56OUxx6/skh63FYDS3wFB7UareQLysHDAGmTdc6SIbQ0tPJhZQnpzK3Z2didML8lkp6mkXLIHfrkTcv/s+RvpgLG6msr//Y/Gn34+4eua31Yjc3ZG1WrEVNaCXGFE+lfxPYsUZaWG6o8cSV1X1H6OzE6BWWNdiVmurCdErqTVxoKD3gbHpnAe++49hm9dSl6pN9qQ+3ALDaS/fRxJlTdRU+XHfk0QBQ0u5KT5Ymi0o7q6BZPFGvyZpHqe8mnDLbAW+dFvybYoM/OytUwwxuJndqZq/xb2H3iUP4q302rueEl/L1s1s8b2wqSUcud3qXgERnNkwNMM0qwlZfXiHny6ItHFS5xmEl0waZuWE7zlXjQSJ+puWEv/iP58vr2Al3/PICnUjQ+uH4CLXefzC86Fj4qraTaZeT+6e4EMgLnFYP2zwQJYTk5Ra6mv4/cP30IikTDpnoexc+7+1MGYOTHsX19M2AAPfHs5t39d5qjE64E4TDWtqEKPff34t1CzYC2XMGfOHHJzc+ndu3fHwYzFAktvAG0NHPgW7ksDl6Bu9bmyspJVq1bh4uLC5ZdfjuI0S8irXnyRlh07EVpbEQx6XK6/HgDbAQNo2bIFgBunrUZb8yONvy+msBb217kyze8ybGVy9v2Wx+GArWTVZzFv5O3IJY78vO8Pmo9swUc9AYuNdeVl7yh3HJLrSB48GP+yUlwHhtOaat0tu1TIwTnnKuINIayuWoR/eRmCtxQdWpJrVhMQ3ovm+Pdxlwu4j6ikKF9FkF0j8sxeXOVkQbCYoOoI79QVsunHEbSFgTQsjazh/TrcsPKBMB++6l9JVnIN72zI5tGpd5KSt4HwvU9T2XcE3oHh3Xr2ItG/hRjMiM47wWJh9zfPkpD3Aem2gwi+/XtU9i48/GMaP6WWctvwEB67NAp5N/e86QltZgtas4VFJdXc7OeBXxeSNv/Otp8HrfurMTfqcb0h6qTXU9espKa4EF1zE4vvvZX7vv6p29cKiHIlIMr1lK/JnVTInY4Vm5RIJLwdFcBHxdVc6eXSXujN09PzzDvWC2bQaY593lbf7WBm06ZNtLa2UlZWhtlsZvr06R0ea6qtQ+HrgyE3j7aDae3BjN/bb9GyZQs2/fujaNyL8pdn0ZtlyD1HMCgwAYd66/fP1r2Q5/a+A8Cveb+SGPENqzxGodIncuc3H1DnF4mrPpvDza1YLrkErY2awtAQJBYNBr2ZUvt0imUNbImIRa6ywy3YjYDMI4xoGIxEYUtkaDilCS+zvEFBjFqGnVTg9rAUfm94HLleQpWsjsOWHBoCa7gm8HeSnJP54MitlDlFkqJpZYjLqVfpuSjkXBbuyTaNiUVb8hge7k7vmxfT+l4i9Utm4yEu1xb9x4nTTKLzqrVFQ+rb00jKf59k/9n0eWgNrVI7pn+8i9/Synl3eixPTo65IIFMcZueJ7NLGZacQcjWNPrsOESbRWCmX8cF7jpDaiPHc15/fB4fjCrw5Gx9hUqN+WhuirNnx5Wve8KfGVWMenMz839Ow2IRmOzhzOq4CG7x7+JWEDIFjHsBHHzgkkfBd0C3+6RQKNoLb9rbn37Jvfudd2DRNGE3fDhOTz3K2oK1lLeUI7Wzw3HSJBR+fpCxEjx7o5KZibNsZEDL8vbzW+1PzAHaYACV0YBeZUN6v3G4GDIxKjU0a5vQ2qjbj0vbXUy2zkKOqpV8D190Uh9G7NLh0XATAQ1SQisy6ScNo9yyHEEQ6GNjpp+tGe9WCf/zHsRv7kOoiMmiQllLvq0Wu6B8zMFm/N3KeW34C6j21lFW0Hjae7/Bx5VqfzXRAU48uOwggsqR+ks/JNJwmD3fPNXFpy4S/buIS7NF5015QSa6JdPxNleQmfgaAyfOYV9hPfO+SUUpk/DxjHj6+jud936ZBYHXCypZUFyFk1zOZA8nBjjaopZK8VDKGeZy9sutT8fQ1srWb78AiZQRN85BoVaf+aRuGvv2Fuq1Buq1Bp6YFMXtl4Sd+aRzrLGxkQ0bNuDi4sKoUaM6vZfbPX/ew+bSzQCsu2odvva+1hf2LobVD1n/X+0MukZabS+n1edxzEoL/3NezAFNNhVOs+hllJFqZ92e5dvNh9jbpsUkawGJBBv3SpqbrKNVTuZAimXhrI+z4NFUT0KGG3Y6C24tFqpV25i6eSltahW7BvjT94osWmUCa/UDaTSEIm1xYrezEr10BC+nH6JIX4ivTxahYXuRSgVMBiW7VgcTZBS46bZZKOKuP+X9CoJA7x2HuNbJiRU/ZzIkzI2PbhzI7sUPMKj0K/Km/ERk/Ohufx9Eoguhp96/xWBGdF4c2vYr/n/eSavEDv3VSwjpncC3yUU8t/IwAwJd+OjGgbjbd2+/LUEQ2KvRsqOxhZxWPYIg4KlUkOhsx0hXR2xOM8qjt1i45VAhG+uaeCjYm3mBHtidLun1+OtaBGpKmnHytEVlc3EM8V/50Q7SSjWYLAIf3jCAy/r5Yqqvp3HZMmz698duyJAL3cUOWQSB3FY9wTZKlFIpw5YOQ4qUBn0DD8c/zKzes6wHCgIUbAV9E+x4D1SO6Ae/T80XBdRi4Wa01CNwpZ8zt9el8K1TK39U+xFpaSJOE4EM6/e/JWArGqMU5dHMIqWrI+/3tQYL07c1E1rRhlyQE3P4czCksDZ2FMtcJuNurOWmlu9xjHqKoCY99w+Q4VSyln576tnvMJT6pHDiW3MZ5vY60RoFaw9F4FXWjEWQ4qpsZdZzLyMNSzrlM7giNQdvlYKpFhV3fpvKa1f15cr+XuS/Phw7swbnB3aLy7VFFxWxzozooiBYLCQvfZn4rLfJUMcSePtS3J08mP9zOt/vKWZmUhBPXxaDopvTSjsbWngxr5z9za04yKT0trdBKpGwR6Pl49IavJRy7gvyYrafO9K/7YsjCAKPZpWyraGZb/qFMrqL1Xu3/ZhD+qZSAOa8Pgxbx55NVm7QGli0JY9gdzuuGxRwxn19OuP1q/uxYFMeiaGuXNbPOpJR8cSTtBzdxTtg8WLshw096+ucC/dmFLO8qgF/tYKdCdFMDJ7I0qylOCgcuCbiGgAObCjm4MYS+o4IZuCEIIieAoAlw7r0PBkT9QgkNNfyYJkjMIBNip3ovf9ga91odGoLl+gBQYaqMha52wEAcm0cURRUcWfmGzR4BOCdV4VPqBTXgbtxTTMjbZawSZWEi6GJWqU7qzzH8EWVmd+Um4mpTGb6ilKiyyQIfT3587CeXCdX3NNHUBeeTpEiBh/pTixmKfUGWxqWJOP23KmDGT+1kjKdgUkDg7k23p/nVh5hULCrdbn2V6M58vkdDLp/6bn+VohE/zhiMCM6Z3StLaR/fDOJmnXs9rmR+FvepV5n4ZZPd5NWquG1q/oyfVDgmRs6BUEQWFRSw4t55cQ62vJ9v1AucXVAdtwbfo5Wx/vFVTyRU8b2hhY+iA7ETn5s1GVFdSPLKuv5MDqwy4EMQMGBGhxc1TTX6zj4ZwlJ03p2yual1RmsOVRBq8FMvdbAXaN6nfI4wWBA8/vvKIOCsB1w+tyVXp4OvDM99oSvGYqKUAQEYCwpQbtt6z8ymPktrZzltfVIJRJKdUY21DXxRPAVXKfyw6/3NagVthgNZnb9nIfFIrBrRR6hsR44e1mnieTBdtR71RGudSCsvJyXjizBduhICqTB1ITuw2DTDxu3r3HZdTuC4I4ESHNuIlXXl+GttiQZVJh0+5FrDmJT20CjWzG7epsYZ2sEezmmFgkhmgqSfawVm+1dimit7s+V0u/Ya5YSXilHFhTHU5dGkuLpyqC0dHTetfjElKO238ZXvRpJKO7LBIOcNl1ch8/h+HD22Sm92VvYwP3LDrB83hAOxD7F4INPkfL7Z8RNuuUcfjdEon8eMQFYdE5UluRS8vZI+jZuZF/c6yTO+4jDla1M/WAHxfWtfH97YrcDGYBFJTU8n1fOnYGerBoYzig3xxMCGYBwOzUfRAfxVd8QtjQ0c8uhQkxHl0brzBb+l1/OJHcnrvY+9eqfM/GLdKG5XgdAzDDfbt9LR6qbdQS6Wt+Md+fXdXzcW29T8fh8iq6/gab167t8HbdbbsZYUYFNXBweDz3U7f6eKw1aA/cvPYCk0dC+lDzBVInkkxGE/nofqqXWHBOpTIJCfSxYPf7/V3/4Bn/sXsz+9Hd4M7KNkMQ0XBXvMVD2AJebo2hzmkK939v0qvsWfeNn6DSf0ksSQpjOjiiDdfpTrh7AkHwNZnU5qwZL2KBT8PMeFYoKCQalJ/GySkZItEQ6/EqJ8w6+8fgZb2qZUKSkLkzJ+l4yyk2fYlv3OMmRXmyT+FP13UxSqWZS1lz6VM+grPF6HG48ecXbX0yC0D7CaKeS8+70WI6UN/HOhmwGXX4XKfYjCd/zNJXFOT38XRCJ/tnEYEbU447sXovis9E4mBopvfIX4qfMZXlKKdd8vAsfZzWr7hlGXFD35/W3NzTzYl45dwd68lSY70lBzN9NcHfiyz4hbGts5tWCCgBW1TRSqjMyP7T7BflG3RTF5Lv6MeuVITh5dK4qsCAIlOoMWDqRqnbHyDDqtAYGB7uy8KaO/1rXHT6MzdERmbrPPutc54/jfPXVRKWmEPTNEqTKnp0q+zm1lKin1zDz8z0YT1MY7nQMZgsmi4AytQ5FWj17BkfjVpWKTm5m1yAXtnqlU1q6laYmDRPn9iVisBdT74vF7rhl6EUH96NQWROrbd1NyNXW5y8BXs99v/04iSCA0AyWZmybKhluNGBRH/s1qZUbkRm8Gb/HG7lJwoD9diQHe7M/5ga2D76WdeMjODT4Nm7a6cs9LT9hkkkI0wocCI2i2K0XHsU3om65GqnkCD57dGgtfRmeLsen+dio3pGjU5enYi+ToTWb2z/vH+DMg+MjWLQlj10F9fS6eTGt2FD/zRzMJlO3nrdIdDESgxlRjxEsFpJ/eJ3wNTdQqQxCeecWgvoM4bmVh3n4x4NMi/Vj6e2JeDl2f7WOySLwRHYZg53suhSIDHd14NFgHxaWVJPXquOXqkYGO9kRbtf9vsjkUoL7umPv0vk27sooJn7XEa7cn3vGgGZImDt7nxzLD/OSsFd1PCPsdOWVtB04gNTWFv/33z/htabaNv78OoODG0s4Xa6/RKnskZycv1uwKRdXWyVbs2t4+4/sbrXh5ajmgbERhDnb8s6wCALtVBAygko/ZwxKKSaFlKzsObz33nv88fOH6BpX4hFwYlAWGp+AUW8dRQtJGoIgOTHJW2oWeLb4S/qOmYC9iytBoy6l0fkw6RElfDzSgU19bFgwyYlCH3tcJCZ86lVctcUHvdQTlVs/vJTFHApU4NBqxixXUDhwII5GC3KzwCC3MiQyWzzqj9C/cBNB6RJauZov5s7EQ1/B3D2eOGvSAVAatdgXN3X4LFwUMhqM5hO+NveSMBJCXK3LtdVO1E/4kCj9IfZ+80y3nrdIdDESc2ZEPUKva+Xgx7eR0PAbuz2vIe62BTQbJcz8bA97C+t58fLe3JQYdNZvmL9UN5DdqmNNXMQZR2T+bm6AB1+X1/JqfiXbGprPalSmO9rMFn6uagBgt0ZLSlMrg5zszrpd5yunYX/JcKT29kj/tqx767JsKnI1ZO6sQLAIxI49/dRecZselVSKl6pndib3dbZhW04tAIODuzedB3DXyBDCDTlo83fRFD4BRyc/bEa/hjlnPgBtbe4AFOrN1B1Ipjw7g7mLvm4/f8zU2+g3aCzeA6JRbnoG7L0pqXWh1NCfw63jefX7g8wM+AKesxYC/PLLLwkIsCFXZ6HWScZ2J+vIm9RbR2uLMwC9S1rwbzLiM+5xGiQt+DRXketpnW5MCNqE0CCAETLw5zLbXawuDUEqyEhq2ENhfgSlcVH46otR2/gy4OBntNh4Yhc2mh3KwfTt4DkYBQHl3ypRy6QS3pkey6XvbmP+z+l8dOOl7D40i/iCRWSnjidi4MhuP3eR6GIhBjOis1ZTXkj959OJNeayJ/ZFEqfdy+FyDbd/nYLOaObbWxNICD27wnN/+bGygSHO9gw4Wq22K9QyKTf7e/BiXjkAfR06nhoyNzZiKCpC3bcvkk7WPTnj9aUSImzVZLdaRwgibLu3FP1U5O7up/y6odWEjb0CQ5sJTXXbadtYW6NhzqECBGB5bFiP1Nd585r+fLmzkPggF0ZFnaGq8FGm+nowm5F7HCvkl5aWxt69exEEgcOHD/PUk0/i5j2NaBmUleWwfZv1mdrWVwGgl0iJ2Z5Ofwdb3m+zQf9LHg7STSh2zAT3QARtFX7KCkpqYvAp3UaC7yqY+Wv79fr06cNvv/3GNZJ0Xk5dxJueCWyy7OLbgQZm7ZJiX2AhuFaDBDALFopktYzNLGa4ah29pNl421ewbYAXmTsT+bptLHvt7kQhDcRoto4I6YMcGX1kLz8OC+O2slGo7DwQ9Frymsr4dOzj3M6+Uz6bFpMF+1OUDvBxsuHVK/tyx7ep/LCvhCtnvU7B6zuxXTUXbXgydg7OnXr2ItHFSgxmRGclc9+fuP12Cy5IKJjyI4PjR7PyYDmPLj9IL097Pp6RhJ9z13aZ7kij0cT2xmZeDvfvdhtTPZ3bg5lgm1MHE2aNhrwpUzDX1GI/ciQBixZ2+3rHk0gkLI8NY12dhlGujjgpzv0/v4SpoWz+LotecZ4Mm376/Xt+q2kk/GiwdfWBPCpHxZ719b0c1Tx2accJrX/XdvAgRTNnIej1+C/4EIcxYwAwm81IJJL2qbKPbr2Bencz2wY3MqzUnolF7qgHxZOrbkQaEMWniTfhJJOxfWMhg6t03GZvz2PGz5BoW6C1lOa6IFoLG3HJ3UbI1dfi/nwmSKVoqquoLSlkQGwcoQHeuHzcH0mzCRdVPY52rhTbSVmU2MR7adZ8m61xQ4lXy/AwOIBgJLKxAP8A63Ta8sJJbJD2ZWbOduqd7bnML5PkZj+EuDYea/0SnYuOn70m83yvIq53yOY7aTZZvhJubmnp8Pk0mEw4yk8dXE/s68P0+ID25dq2132B65LRHPrsDgbf/32nvwci0cVIDGZE3bbnp3eJTXuRfGUE7rcso5dnAK+syeDjLflMG+DHK1f2Ra3oXAG6zsjQ6jALkOjc/amZgOP2WFJ2ME3Vln4Ic411auSv+is9xVOlYIbvqUdRzgW/SBdufD6xU8cmOtuz/Og02JuRAeeyWx1qWr8eqYMDZr2e0rvuJjozA4D+/ftTVFSEVqvFUVNDg8aNdZ6p6GtNXPpdBU7aHNi5C68HjBjCBWzl4zlU54qsSocAfNLSwiNKO2TSRgAasu3R1XuAUE5VRQVOOh2CQc/Xj96Doa0VN/9AZr/6NsiUYDHhYTJjkAMWKDcN5PoxU/Bqrad6Qgmy1g9x2jeeNiKxyfXloZYqio2B7LLoeFehJ8Kgp+CwD85pTUQ41VEU3pe6ohsJGPEuD7a9R5/iGtoCZLxbZkBTKSVi8vsdPp/cVj1Jzh1v+fDMlBj2FNZz39ID/HTHX8u1nybl9y+ImzSnB79TItE/i5gALOoyg15H8odzGJz+LPvdJhH68CYUjj7M+XIvn27N56nJ0bx9bf8eDWQAclt1yCQQ2sGIilGvY+Xb/+PbJx6gtriww3aCjgY0He2Cre4dg8zJuq2Cum9H2Qv/Pjf6uPJj/zB+jwvnJt+emRbsKpvYWMy11kDSdfbs9q8rlUquvvpqZs2ahW9AII2V5djoZej+FtcqFdapqemtT3JTiAcK+bHv8YrSEI5oPFlVGoXF4yos2mpq3NxY5e3F66+/TnVhPoa2VgDqSotBoYarPqPFN5QEXwvjnGVc7+OHsXIaLQob8pz9aa2Rc19DBascnyDe8QeucX+ZqbWZ3NK4mUlmI3HaGGzDLsVR6kSeoz0ZYy5HsUdB6MGvcX7DCb+HBfILphFQZKKhQsVbti4Qe8Mpn43eYiG/VU/kaZLW7VRy3rsuloyKJt7+I5tBl99Nqv0Iwvc8SWVJbne+JSLRRUEcmRF1SV1VKVWLpzPAkEFyn6dJuOZhsquaue3rXWjajHx9cwLDws/NyEOLyYKtVIqygxyWrJ3byN2zG0Gw8NUjd/PQst9Oedza+AgOt7Th0sE0j9zFhZCVv6LPycUuMaHL/cxtyOVgzUEmBE/AXnn6jRP/SSQSCcNdz+0+VH9nsehpacnC3j4aqVSB47hxSL74hDrDbuzirgDAZDQjQYJMYf2+D5p6FWp7B4arYM3Bz8kNyCKm0ImqqD4oAjaxoyyRbzNvID6ogrCo38ivVNHXPoXSYntKtJE4oqafizf1YfH8kGRLtW02wc3B+IRHYu/qRkt9HdHDRlo7GDWJfVXzkUjcGWuqIyRkFr/v1VDabA2aBrd407fJjJ1Rh9IxnSuaW6mWOOBJM1e1ZpEnrSLMwQe7Mc+RnfMSgVsO8Pq0VmrtmrhztRlPrxupaBlCZst4krY8xf0bJfDAqZ9ViqYVoyAQf4Z8sX7+zjw0PpLX12VySYQ7vW/+jLb3E6hbMhuPRzeLu2uL/pXEn2pRp+Uc2IbDL7PxxETepO9JSJjA2kOVPPTDAQJcbVlycwKBbl1PzO2K0y1mVqjVCMKZa5m4KM68eaTCywuFl1cXewd1bXXc8PsNtJnaeG7Xc6TPSu9yG8eztLbSvGkTNv37o/Tvfq7Q+bIqbxUFmgJmxszEWe182mMFQSB1/0w0mn3Y2ASSlLgBiURGseMvVFb9Qt6eRfTy/471C/VIJDDtoYG4+dkjlcnoP24iAL4rN6LX16O8VEewbDt/rL6f9c4huKul7Mqvw9HTDWefdUhpIuaKKgyHbQj6wYiGTB4dP48W38VYJGYyXDJ43e51Zr/1EZrqKjyCQtr76ejYj4aGndb/d+jL3f0fZnt5Av3cj1Cafgm/MZaGFDVzi8qouFrGIHkzAPvpTZ7TNoZW+lBekYpRrmBTTAs1Dtal1wumyJi3yxost+FKhWciPlXJHT6vXY0tOMtl9LY/cw7a3EtC2Zpdw4PLDrLmvuHUjv+Q6HU3kPztMyTN+t8ZzxeJLjbiNJOoU/atXEjAimk0yV0x37qRyEHjefuPbOZ9k8KISA9+umPIOQ9knBUytGbLCUXDjheeMISEadcSPXwUcxd+dU770pGipiLaTKdfNdQVZY88SvlDD5M3dhyGkpIea/dcSK1K5YntT/Bp+qcMXzb8jMcbjHVoNNZVO21txeh01oKGmqb92Npag4n87G9R2sjQt5pY+uKek9pwueVmpIFafFQZuCmKuc75Mfx1UKE1AHBtbCy9DCbeLG7k80b4IMjEnCvncc3kF6hwVmGRWH+W5IIAez5Flb8Oz6CQE0oI9O2zgOio10hK3IijY2+87FuY1ut3wpwLMUmtU6laG+t8l8MKJ3ZyFV/IbmO3fStrvTbyk+1vtFm0AARXm5AcjcgtEjWrB9phwdqHUr84ts24qcPnJZX89XHmkgRSqYS3p/enzWhm/s/pxCRNJNlvJvH5i8hO3XLG80Wii40YzIhOy2Q0sHvhPOJTHyfdeQyBD23G1j2Q25ek8MHGHB6ZEMmCGwZid5qibj0l0laNgDUJ8lSkUhnDrpvJpLsfwt71wuR89HbvTYRLBACze88+6/ba9u9HdnTZddOatWfd3rlUqa3s0vEmqTOrlPNYy2QsSFCprEu3vb2n0dpagExmi5v9XFoarN/vmKEn1gUSBIFZegVvjpqGRGIdkRMkcp5EzRyUvI0tT42+iu+Cr+Z3BwecqieSdORBvD220ervjC48ikTvRGQSGZ/b9oY1j8HyObDpxJELhcIRX9+rWVuWwr1bn0QV8Bhm00TSDt6A0mxC3dpKRKZ1BZPMJ5FA3RzGaS+n1qEcJJAepsFvkBLvQdUMGyAwum4mWqcbqfP7gNRwWyY4KunvqGdwQAw+rR0nXveyVVNvNFNn6FxlXx8nG167qi9rD1eybG8J8bPfoEARZl2u3dzYqTZEoouFOM0k6lBjbSWln04nXpfG7qjHSJj+OAV1rdz29Q6qm/R8Niue0VFdn4rprkh7NWqphO0NLfR3OLejQN2lkqlYetlS6tvq8bI7+2fjeNlkGr5egtTBAZcbTp0YejYMhlqOZDyGBCnR0a+iVHY/CBwZMJJYj1jyNfm8dslrZzz+/aJqVpjGoZeAwes+xkmtidnBXvPw9pyKSu2FVKJCqXIFCaz1gh8OF/J4qA9BNioK2wxsa2hB5jmG4LZyHvCQQvyjeHxSyC2tUhz/KhDo3Q+n3fbElk4FYHLmPFKnu3KP8CaJ7GJev0uIzZWAewTUZMDuhTD6yRP6Wt1azXM7n0NAYEfZDj4M+ZCWlq2AmeKAEJ559AX6pCYzSz2m/ZwnSm8j3S6bISZ/qoe8AEATcOkHmfzcZy5IlUwrqKJO3USwwRuAAeYQjJVaFN4nr9hzOLoku83S+W0hLu3jw3WDAnh+1REGhbhic93nuC4ZIy7XFv3rSITT1Ti/SDQ1NeHk5IRGo8HRseu7H4tOlpe+G5ufZ2AjtFE2biF9hk5hU2Y19y7dj6eDik9mxhPmcf6TW285VEBJm4F18RHnpPz+P40gCBgKClD4+SFV9VyRvb/k5b1Jadl3mEwa5HJHRlyyv8evcSoWi4XLfttErlxFk409LnIZGcP70rylFM2aAhQ+dnjeFYvk6Bv45vomrjuY335+5ahY2swW4ncdoc5oHakoG9kfmUSCpc2ERWtE7n4st6Ru9+8s/VJJuHo7JkFJ7j1X07t4YvvrQ7xfwmbFQ6B2gtmrofoweESBe7h1P62SQiZtmtp+/L7r97Fj+w6kUim5IVH8sHknN6bswL6hARubUCIDDuJt54+xToJNrzJ2hWZiNlvrxwQ86Uu52pYmmZSgXpfj4BSOUnKsZIDPEwnIHE/eI2tTXRPXp+WzLykGf3Xn99BqNZi47P3t2Knk/HTHEA6u/IBBac+QmvAuAyeKy7VFF1ZPvX+LIzOik6T8/hnRyfOpkPvBjN/oHRTBgk25vLk+izFRnrwzPRYHdc+Uu++q67xdmZFewKb6Zka7/fsDV4lEgio09By2r0AQrMGAQu582mMtFoEtOTUEuNjQy/PsVj3V1dURmp1GVu8EXFs0/DkuCYCWXeXInFUYK7Q0bSjG6dJgAFpPsUmljUzKbwPD2dLQzGQPp/btLaQ2cqQ2J/5qc0ucxLTc1/DNfQcAoUDHLvtA2tqKAVBGXg6PTgOpHNY+BnsXW0+8dSONKU5IdlVwk8eVbPM8yJyoW1ApVYwYNYrrDuaxLb+S2TkZDF7/OwB/9K4gQyPjoejPQQFM3EGcnZTCnPXoqofiePNhzO++icrZkd3abYx3b8ZeWoFgVmM7tDcyx1PnG1UYjEgA1y4WW7RVynnvugFcuXAHb/2RxeNX3ENq/gZ6JT9JZZ/heAf06lJ7ItE/kRjMiNqZTSb2fP4ASeVfs89xDL3nfYVFbsNd36Xye3ol944J5/4x4Ug7qM9yPox1cyTRyY7ncstJdLbHVtbJtK+/BiB7cjRHEGDPJ6ApgeEPgU33dwK/UAIDb0anKwUkREQ8fdpj39mQzQcbrbVKvrs1gSG9ur8E38nJiUCLkRnJ6wHwvuwSABTedugy6wGw6X1symusmyNXebmQrdXxWuSxVV0htipCOrkthK9jKbiGQn0+kh3vMfDxTGprN+LuPhqZzJayyjIkEgm+RbvAuy9UpmP+8x0aN/Sm0ckZu3IzE5TXUrnDjvT35pH28ONsa7COtvyZOJF5Za5YtDWoDDvx6tsHbn4KnAPB0RepRs+Oz2Mxm5rZQyB3HtiPIJMSbzKhqEiBP1+AoKEwuuOpxGytjgC1svM/88fp6+/EQ+MjeW1tJiPCPeg9ZzFtHyRRt2QOHo9uEpdriy564jSTCABNfQ1Fn1xP77Z97A2/j4QbnqWkQcftS/ZRUt/KW9fGcmkf7wvdTQAyWtqYlJLDeHdHFsYEnXl1R3UGLLkSZAqY+Yv1Da0nZP4OS6+3/r9UAc/U9ky7HSg5kk7Wzq30GTUe77DTb01wLly7aBcWQWBfUQOxAc78ctfQs2qvrq6OgoICoqOjsbOz5ohYWo1o91ejCnREGdDDNW+KdsGSaQBUzlzL9ZVqTBYLn0U5YCpv5ocffgDg5vB6AnOsq+GK8ibTvO8Af8YEYZJbVy6pnO8ifv8H7PTw4O3778Ukl/HqgTZGF9UgVbtg8DMTfOdwpMftoVRZoOGn11LaP79r0egud3/knkxi7G34KCaoW7dvsQjc9FkyeTUtrL3vEsoP/EH0+htJDr2LpFkvd6tNkehs9dT7t7iaSURhxj6aPxhOkO4IR0Z/TuJNz7Mjr56pC7bTZjSz4q6h/5hABiDa3ob3owNZWd3IrYcK0ZpOvVS73b7PrSMyjUXw/oCe64i2GiRH37Asxp5r9xSMOh0rXnuBg3+s4dsnHsCo153T653KxL7e7CuybnfwxtX9unx+WVYGXz9yN79/8CZmkwk3Nzfi4+PbAxkAqa0Ch6F+ZxXIGKuqKH/ySWo//ZQT/lYLSoJHcuDRfL4weVFlMDK+9TVKUkdSWvYoTk7WX6TLq42UXH43bffvpe1QJo02Eg6FtpIWpsEkteBSl4pjUwENdlJuWLGIEbvWMFRubq9L5Ozpc0IgA+AZ6IBfhDNIIOnKsC7fU0ZLG5laHVM9nLv7WKzLta+NRW+y8PjPacQMmUSy3wzi8xeKy7VFFz1xbPE/bv/6b4jY8RDVMi9aZvxBn5AYFm/L53+/ZzAs3IMPrhuAk+2FyY85nSmeznwlDeHOI0UM35PJqxH+jHd3OvXBTv7QUm39/5jLe64TMVfAge9BUwrXfNFz7Z6CUa/DqDtWv8ZkMKBQdVzW/lyYMzSEYb3ccbNX4WrX+QTUv+xY+jVGg56M7ZtRqNWMu+3uUx6nM5r5eEs+KoWUW4eFIO/itEr1a6+h3bETs0aDpbkFzwePldQVFPaYm/S4K2QYjC0MYTsAMlkGJmMQDrW19BuWSnaDheyGpWgCY6iX5rG7j3XqK8/fzPVpSfx8iTuHpDUUO/TDo6KUA01rGRlxHepoN5ynhJKXl0d9fT2xsbEoFAqkMimXPzAAk9GCQtn1bT7eLqzCR6VglNvZjVZ5O6l59cp+zPsmhaV7S7hq1hsUvrELm1Xz0IbvEnfXFl20xGDmP8piNpP85WMklXxKqv1wIud9g0ztwIM/HGTF/jLmjgjl0QlRyC5gfszp1BpMlOuNDHKyY1N9M49mlXYczCTcYf2vVAEJc7t8rbyUZAoOpDJw4hRcfY+rwmvjDLes63rnu8HWyZlBU68i/c91DLr8amwcOjEcW50BTWUQOho62AKiq8K9uv9mqlCr0WmtxeMc3Dw6PO6z7QUs2JyLwWQhpaiBT2fGd+k65uYWZK6umDUaDEVF7V8XBIG6rw6jy2rgshhXmoYFoSv1R20qBWBw6GAyyr5FIrWwVysjpVWO3xA3LMo8pIKARSJBY2et7usi7UWYoxPv4ozFzpn1kXG4XReF1EZOSUkJS5YsAWD37t3cc889gDWZuzuBzPaGZlbVNPJuVACqHvg+XtrHm+sHB/DCqiMMDnFFfd0XuC0Zw6HP72Twfd+ddfsi0YUg5sz8BzVr6sn9+Eb6a3eRHDKPxJn/o6JJz9wlKeRUN/P61f2Z2t/3QnfzlJpMZl7KK+e7ijoAwm3VeCoVDHC05fFQnzOc3XXNdbV8evfNCEdre3S039M/TuUh+GQEWEwQPQWmf3PeLt3QuJfy8mX4eE/D1fVYXo2mupIdy77BPTCYQVOv6nBp/TO/HuKPI1VUaKxTaYWvTu7S9dsOHqTiqadQBgfj++ab7UvazU16Kv53rIqwz5MJGBV1FJWvY/5qR4ScAobVbMZrfCFvSAUsWPu3oriaB7xd0EjljM54EI+WYC5TPUOQSzqlprFguh8DAkok+DydyMGsdFauXNl+neeee65L/T9eld7I2H1ZRNiq+SE2rH3F1tlqNZi47IPt2Cpl/HzHUA78+j6D058lNfE9Bl46u0euIRJ1hrg0W9QtJTkHsXx/I73MtaRdsoikMdeRnF/Hnd+molbI+OmOIfT27WCE4wLL0uq4/mAeGpOZ+aG+XOftipvy3P4Iaw9Wkeh2GdlNKdTpy87ptXpU6R6wHM0lylh13i5rsZhIS5uHydRIZeUKhg3diUplzSVx8vRm0j0Pn7GNmUlBbM6qoZenPV/dPLjLfbDp35/QVSffs9ROgcxJhVljrSgstZGjlvuQUjOaA+XpYBNOH1Ud9imxWOJ/4Wgsg6fFyKqyCkoEd9Y12BNQtJCgYdY9t/zlG/iDIcikAYQbvGlNrSZiQET7L+drrrmmy/3/i8kiMPdwIVJgUe+gHgtkwLpc+/3rBjDtox28tT6Lx6fdS2r+n4TtfoKqPsPx8u96Xo9IdCGJwcx/yMGNPxCy9T4apS403LiW/uH9WbKrkOdXHSE+2IUFNwzEzb7nC7P1hLxWHVcfyMVdIWflwPAuFQ3rCkEQ2kcMzFojpg0NBNpHE2gfTeO48590222ho0DlAPomGDn/vF1WEEztxeEATKbm9mCms3p5OrD10VE93TUkMike8/qhy27AJsatvSBfoKstFgGQyNA792OCzsKyQm/y9QEIAXoWy9bhYmrmTf01TPFw4ifH6+kn7MNHYs2jSZFr0NGMVqZjUmwiMnsl9957L0ajEbW6e3lNGqOJeUeK2Nuk5afYXngoez5vrY+fEw+Pj+SVNZlcEuFBn5sXo/8gkdqv5+D+6EZxubbooiJOM/0HCBYLu5c8RUL+R6TZJRJ6+7eo7J159tfDLN1bwpyhwTwxKRpFN+pXnA9Gi8CklGzaLBZ+GRCO+zkYjREEgZ9++okjR44wZswYhg4dikmjp/KVY9MSfi8PRfIPfUanpK2F1nrwiDivly0qXkxJyRf4+V5PSMipk3z/aVYeLKcp9QBxbz5KvdyWGyc+2/6abpQP/bYepFziyDKTO7Ms9fgoK0gU0ikgiAg7C60GA34+vtw29/az6keTycyKqgbeK6pCa7bwce8gRrqeu99pFovAjM+Tya22LtcuO7COmPUzSA67h6SZL56z64pEfxGnmUSdom1uJOvjGSS1bGV3wC0MnvMGtVojsz/ZzaHyJt64uh/XxHe8ud0/waKSao5o21g9MOKcBDIAtbW1HDp0CIDk5cvxfedd5B4e2E++F31GMw6jAs86kGmu17F3dQHu/g70Hel37rdjsHO3fpxBpbaSVXmrGOo3lBi3mLO+bFDgrQQF3trl8wxFRVS/+SbKsDA87r0XSQ8lLXfG1P6+1O78lTqVGlu9DpXZgF52dPRPJuGGiBUEBBymsjyEcc3+/FB8JTpHE5cUH6BN4oPUaGDqxAldvm6D0cRTOWXktOrQmQVyW3UIwDQvFx4L8SbI5tyOlEqlEt66JpZL39vKYz+l8fGMy9h9aAbxeQvI2T+O8AGXnNPri0Q9RQxm/sUaaiqo/XgKUcZi9g95n8QJs0gtbmDukhTMCDw8vS8efo7UGUznPPeku/QWCx+X1HCjjxuxjuduc0k7Ozvkcjkmk4mYw0cwWyzoDh3C3NRE8Lc9kzy7dWk25dkNZOyowGK2EPvXRogX2L0b7yWjPoP397/P6mmrCXTsuF+51S14OapO2M7CZBH4srwWuUTCDF+3bud2VL32Om3paTT/sQHBYMTr0Ue61U5XGAwGFAoFEokE28REaj5cgNps5kW7Rp5xCkIT5sCQgnT8QjIQBDD7FhOAirfDn8RO0kpaVh+U5Vr0Wi0VmYfxCuxcQTuLIPB7jYYX88ppMpmZ4umMTCJhXqAHw5ztCTzHQczxjl+u/f2eEq6e/QaFr+9EvXIureG7sbX/Z+bQiUTH+2e+g4nOWmuLhpqPp+JuqqL8yhUM6D+Ut7fl8cGaLCyOCvSxrjxTWwu11qq1/R1suC/Ii4nuTv+oDRx/r9FQazRxm3/HS3l7gq2tLTNmzCAnJ4de2lYMW7cCoPT3P8OZnadvNWLjqMSga6OhqrXD4wSjBc0fhWAScJwQjFTV9eW8XVHYVIhCqsBoMXKo9lCHwcyCTbm8sS4LgF3zR+PjZN3I8fOyGp7PK8cswK7GFj7uHXza6/01s/3Xz5nRYEbXYkQwGJCqbTADlubm03fabIKtb4CuEUY9Yd0gsouSk5NZs2YN/v7+zJ49G9sBAwhdtRKLVktIaBQNT+2ivrQIsywbvZsNNs5aPuQB9kqSQAZvCXexJzyBQWk7cfX1p+/ocZ267q7GFh7ILKawzcAIFwdej/Q/5yMwZ9K+XPu3w0eXa3+O2zfjOPTZnQy+79sL2jeRqDPEnJl/qeQP59C3ZjXlV/5MYO8kpn+7D31GA4VBttw3KZLhbo64K+S0WiykaLQsraxnW0MLo10dWBgThFMXN7M7V+4+UkSmVseGQZHn7Zqm2lqq334HuacHHnffTfJvReTsqyJ+UjDRQ7q/ZL00q4HN32TiHmDPuJt7I5OfehqleVsZmrUFYBaQuarxeXRQt6/ZGQsOLGDRwUWM8B/BB6M/6DCYvfTdrUgkEjIqmpjcz4cFNwwE4MnsUtbUaijXW6sgV46K7fBaFTlZrHj9BWzsHbjm6ZeRKR344eW9tDToiUuyx3vNOyh7heHz7LNIFKdJek1dAqvuBcECamd4vKjjYzvw7rvvYrFYaGpqYtiwYYwdO/aE1xurWqnIa+TQnx/R1FBMeLCCG/rcgRQzBokKqWDCIpHj0NJI1qThJ1X9PZVKvZHx+7LwVSl5oZcvg53P/87zHTl5ufZ7DE5/TlyuLTqnxO0MRB3K3LuBQTUrSIu8l6A+Q7jk052oMhqJGuzDnktimKVTEK1W4alSEGyj4ipvV36M7cU3/UJJaWrlstQcGoymC3oPlXojN6cXsLyqgXFnuTu2YLLQdqQOU33nViPJ3d3x/d/LeN5/Py1NJlLWFtFUq2Pj15lYLNbY32wxs6VkC7kNuZ3uh3+kCze9mMSlt/ftMJABsOhMSBTW182d7PPZuCv2LvbcuOe0gQxAfLALGRVNANw+/Nj+Vjf5umGwCHgrFWxPiDrttVLXrERt70B9eSlLHr+P0swGWhqsS6VTdrUQvPR7fF966fSBDEBbA8iOjmboGs98k6fg7u5OU5P1fsLDT97rytnLlughviRddR0NtWYOZLjT13wYg8R6XdXRR3VTdHinApkKvYGr9ucil0j4sm/IPyqQgWPLtbMqm3lrfRaDpt1Hqt1w63Lt0rwL3T2R6LT+GX9+i3qMQa9DteZBchXhDLr2ca79cT/1RU3MGxzM7Ct7A9Y3d32+BsFkQelvj8zR+st5rJsjq+PCmZqaw9zDhXzXLwz5BagAnNzYwsz0ApRSCR9EBzLNs+PdqH/YW8In2/K5Nt6f2y85dW2MhhW5tKZUAeD1YBwKz87n3siVUqRSSXsQ85cFBxbwafqnAHwy7hOSfJM63eaZ2Cf6oM9rBLOA6w2nDw56io3c5ozHPDulN8N6eRDuZU+Yx7E34mh7G9KGWn+2zrTpp6OHJzl7dgIQmTQcjwAHpDIJFrOAi3cXcqIG3ATZa6GtsdtbSUybNo39+/cTGBhIYGDHeUJHPAN4c441f+fRxgWMd1pJKLmsNiVwd+Jb9HM8fVVkk0Xg5+oGns0pw0Ym5ecBvfBW/fO2CIFTLdf+DP0HidQsuRmPRzd2KmgTiS4EcZrpX2b3l08QX7CQoqvXcFARzANfpjCtjzdvTIhG4XHim4UgCBjLWjA3GZA5KlH42SORSNje0Mw1B/J4OdyPm89xrsrfpWq0XHMwj/4OtnzWJxiX00x3mcwW+jy3Dp3RWp139b3DTlnwr+K1PUikEkx1OuyH+uI8pWsFwfL315C3v5q+o/zxDrG2P2vNLAQE9lfvp597P76dLOYVdIbRoCd19a+o7R3oN/ZSJBIJNcXNNFRqCRvgiUzxzxssvndnNqv+yMeslmEe6MQVukepMEjJaanh1r63ct/A+zo8N0Wj5ZZDhVQajEzzdObFcP9ztiKvp5y0XHv/WmL+mMmesHtIFJdri3qYOM0kOklJzkEGFHzCXt+bCIwZzFMrDqF0VvF8b3/kLicX75JIJCj9HbCJcUPmqESXUY8ur5GhzvZc6+3KW4VVtJxpR+oe1GIyM/dIEVF2apb0CzltIAPW/qsVx/5StO3gTcKmrwemOut0jcPIri9DDx3gwbibe7cHMgATgiewv3o/AC8O+2f9gv8n/32iUKpImHYt/cdNbJ/S8gh0IGKw9z8ykAEoP1JPjLSA37SPsGTvi5hU4eS01AAwyLvjfCazIPBYdikeSjnr4yNY2Dv4Hx/IwLHl2nqThcd+SqP30Ckk+95IXN4Ccg5su9DdE4lO6Z/520PUZYLFQtOPd1MrdSX2pv/xxp/ZaJv03DUpEqVK3l7ttCMyRxU2MW4ovO3QZTfwcIg39UYTv9U0np8bAN4oqKTOaOKjmCDsOjGcLZNKWHDDQCb09mLRTQMJcbc75XFOE4PxvHcAvs8lIXPomcrBN0TfwMorVrL9uu2EOoWe+YTzQBAEyh58kKx+/an/6qtut/N7egVj397C62sze7B3F1ZbWwmHDz9IYdHHXQ72wpxtedS0DAdaGW3YysuNOub2m8uisYsY4jukw/MWldRwuKWNVyP86edw7soKnAveTmpeu6of649U8f2eEuJmv0WRPBj1r7fT2qK50N0TiU4iBjP/Ent//ZDehjTqR71GVZuUz7fkIwm259ZoHwSzpdPtyOwUyOwUeDUYSXCy49fqxnPX6eM0Gk18XV7HvACPLi1THdrLnY9nxHNpn443mZRIJCh97ZGqT/1XcXHJF6Tun0FDQ3KX+hziFIKT6p9Tg8OQm0vT72sQjEaqXnm12+08t/IwBbVaPtqcx9pDlcde0DVBQ+HZd/QCyM55kbr6reTlvU5h4YddOveRCSE42ZvwVFiThd2dArl7wN0M9Rva4TkZLW28ll/BvAAP4pxOHWT/003o7c31gwN54bfDFGtMKKd/jpuljkOf33WhuyYSnaRLwczChQvp168fjo6OODo6kpSUxJo1a9pfr6ysZMaMGXh7e2NnZ8fAgQP56aefTtvmc889h0QiOeEjKur8JD3+W9RVlRJ58FX2Oo2nz/ArePKXdGRqOYPjfbExCEhtupZsqPR3wFyvY4yLA3s02vMybbG8qgGTIDDH78wVa3tSa2sBOTkv0dCwk9T9N5zXa/c0mZsbEuXZjzzZKmWYjyY8O/31s9NUAe8PgPf6w9Y3z/oaXZXbkMuGog0YLcZunW82aZHLrfPxOn3FSa9nZ2dz6NAhLJaTA39jywa0vctodrWQH2QL4848rfhOURX+aiWPhfT8Tu7n09OXRePrbMN9S/fjFdqXQ30fZ3D9KlLXLbnQXROJTtClYMbf359XX32VlJQU9u3bx+jRo7n88ss5fPgwADNnziQrK4uVK1eSnp7OlVdeybXXXsv+/ftP227v3r2pqKho/9i+fXv37+g/qODb+7AgJezGd/k5tYwduXXY9HWlt5MtMjsFgs50UkCibdSTsraQqsKmU7apCncmrs6E1mxprx9yLm2pbybR2e6cbKh3Op0N1ATTyc/wn0bu6krA4k9xu/UWwtav63Y770yPZWIfb966pj9JYW7WL+ZvglZrgUU2nvnNXLBY0Py2mqa1a8/6uZU0lTD9t+k8sPkBbvr9pm61ERb2EDKZDd5elxMZ8fwJr2VmZvLdd9+xfPnyU/7xJZHK0amlHI52oCDIFs6wzYLGaOKPWg3X+7iivpj28jqFv5ZrZ1c189b6bAZdeT/77YYRuutxqssKLnT3RKJ2XfqXNmXKFCZNmkR4eDgRERG8/PLL2Nvbs3v3bgB27tzJPffcw+DBgwkNDeWpp57C2dmZlJSU07Yrl8vx9vZu/3B3P79/nV/M0jYtJ75pA7kDnkCwdeel1Ue4PNaXRhcFfmolbYdrMTcb4G/vJ2s/SWf3L/ksf3UfdeUtJ7UrVcrwkEiRCAIV5ziYEQSBZE0LSReg7oadXShhoQ/j5DSQ2NhT55k0Ll9O5oCBFM+ajWAwdPtaBoPhlH/5d1tdHqx/GgqPBf92gwfj+fDDKE+z1PhMBgS6sPCmOK6KO676se8AkB6dpgtIPGMbjT/8SPnDD1N2/wNUvfRyt/sCcLj+MAaL9bkfqTvSrTacnAaSMHg1vXu/jVR6YsBcUVHRvrv1X3+YHc/TYyKBAbfg6TGRoUPOnAD7YXE1ANd6u3arr/80ffyceGRCJJ9szWdHXj0hcz7DgJLqr2djMZ+/BQIi0el0+88Gs9nM0qVL0Wq1JCVZa2wMGTKEZcuWUV9fj8ViYenSpeh0OkaOHHnatnJycvD19SU0NJQbb7yR4uLi0x6v1+tpamo64eO/qLVFg/vW+aSrBhA/ZR4vr87AIsDTl1k3C3So0yN3t8Eu0QfJ3+rFNFS2olBbk2wr806d0GcOdmBg/bn/ZaU1W2gyWQg5Ta5M06YSKl7dQ/O2sh6/fnDwHcTH/Yib67BTvl63+DMUHh607tlDzfvvd+saBw4c4NVXX2XRokXo9fqz6e4xP8yEne/Dl5Oh8tDZtdVcCVWnCRQ8o+G2TXDt17TdtJy3973N+6nvYzCfOrjTZ2eh8LVWS2749uyWrQ/yGoS7jfUPnFv63HJWbZ1K796920ePbrrp5JEfqVROePgT9O37IWr16StAZ7S08WlpDfMCPPH6h9aS6Y5bh4UyrJc7D/5wAIuNK9Vj3iVGd5A93z1/5pNFovOgy8FMeno69vb2qFQq5s2bx4oVK4iJsb55/vDDDxiNRtzc3FCpVMydO5cVK1bQq1evDttLSEjgyy+/ZO3atSxcuJCCggKGDx9O8//ZO+/wKKq2D9+zfZNNNr2RTgIplIQOghQBKSqoYO/d114Rfe29vTbsFRUVKygqCBZ6h5AE0kjvPdlks33m+2MxENMbxS/3dXFdSebMmTNhM/Ocp/yeDnqzPPvss+j1+uZ/ISEnd9fn/iL5syV4ibV4XfgmW7Nr+H5/MQ/Ni8VHpybcJCI1WFH6u7ap6powMxSb2UFonBdxp7X9gG5SytDZJVT9rJtXfURt2KudUmzRZMfwWx6OOgv1P+fgMPTcO9ITlCEh2EpKAHCZ2DNxvJ07d+Lr60tFRQWrV6/um4XVFR5Vwa1I6/k8VYfh9VHw9kT4vYMQUuAIiFvAJ+mf82X6l7yf8j43b7i5zaH6BQtw1NUhaLVE/PB9t5ZjLW6k/NV9VH16CNHqwFvrzU8Lf2LNuWu4c/Sd3ZoLnJ2pPymuIt1oApwtFf74+F0OZWZy7v4sriyoY9F/bmXJkiUdPqs6o8Ji44qUXAa7qLk1zK/H85yMyGQCL18wEpvjSLn25HPYFXgJow4v4/CBgbSAAU483RY9GDp0KElJSdTX1/Ptt99y5ZVXsnHjRuLi4nj44Yepq6tjw4YN+Pj4sGrVKi644AI2b97M8OHD25xv7ty5zV+PGDGC8ePHExYWxtdff82117a9C1u6dCl333138/cGg+H/nUFz+MAWxpZ9xa7Bt5EQHMPFr25iQqQXi8c4QwMJDgVJrgIXtXP+mHnhjJwZgkIpa1fC/nCThSRPOaEVVnDvv4oMxZHrO9rJrRAUAoJShmQVm7/vK1KrUlHKlAz1ar/3U9Czz1D75VdoExPRndZ+BUtH+Pr6kpycDNDu30K3mbYENjwOwxfD8EU9nyfnT7A7X/RsfgnOeLjNYZIkUft1JmemxFDpN50kDpPpyGxzrHbkSKK3bAZBQKbtXF34WAy/FyDZRcyHqqlZkYbP1cPQqXToVD0LQ95wMI/Ntc5Q6sbRUWx49lHMxka2VzSQMmEWjaLElH3ZZE4ZTlZDE1FFJixpNbhOCMTokobZXIy/3/xW4aljOdDQxNUpuTgkiU+GR3VJWuBUw9/dWa59w2d7+WJXAYuv/h8FL+xAtfoGmgZvH+iuPcAJpdvGjEqlat69jB49mt27d/Paa69x//33s2zZMlJTU4mPd0qbjxw5ks2bN/Pmm2/yzjvvdGl+Dw8PhgwZwuHD7fe8UavVqNUntsvsicRus8KPt5MvD2PMRf/lf39kUWYw88nVY5sNkyiFku8tHff1Uao6fuCmNDTh7q5BbXEgSVK/ddMuNjs9LTXt9IMSlHK8L4+jaV8FLmP8kbn0jft+be5a7tvklKl/fNLjnBd9XpvjFD4++N52a6+uNW/ePAICAvD392fw4O4pELfLxFtgwn+gt/8voRNBkDubNo68uN1h9vImmvZXoESOa5UXI2QjoAbMZnNzzsmxyFx6pq0iU8sRm5x5Wgqf7hlCbXGw0YSXUk6NzcH6yjosRqdho7aaMTtEEAR8TSLTth2ixOFgaoWdl/ebqErfRsGEJwGJoqJPGTumbQ9To93BZck5BKmVLB8eedK2KugLZscHcMn4UJ5cc4jxEV4oL/gI3y9mkfzRrYy/faDCaYATR69T7UVRxGKx0NTU5JzwH5n+crm8W0mPjY2NZGdnExh4apc09id7vn6WSHsO9rNe43C1hfc25XDb9Cgij+2XE+WNqsRIprHnjQozjGbc5DJkwW5YC9sP+/WGN/LLOTfpMPE6DeM7SADWRHvideFQNIM9en/RinT47Fy273qdMLdQFmwXUV3/EIb163s/dztoNBomTZrUI0OmwmLj8cPF/FBe2/pgXxiYAcPg5m1w5U+w8O12h8lclEiChA0HDbKjn6u6urrer+EY9HMj0MR54z4rDP38bgoSNpRBY0WLH10e5EONzUGcq4YbIwYxbsEilBot8wQLkw4lcVZBNQ8eMlNyJJl1o5+CTYpDmHVHO3EbDAfaveQHRZU02B18NCziX23I/M3D8+MY5KHl9i+TCBg8nORhDzC+5seBcu0BTijdMmaWLl3Kpk2byMvLIyUlhaVLl/LXX39x6aWXEhMTQ1RUFDfeeCO7du0iOzubl19+mfXr17Nw4cLmOc444wyWLTsqWnXvvfeyceNG8vLy2LZtG+eeey5yuZyLL25/h/j/mZK8DEZkvskuv0UMTpjKA9+nEOnjyo1TnS9JiyhSYrYyNswLH0nG8uKqHl/r7vAAMprMvF9Xh2RxYMqoad4x9wWv5JXxdE4pt4T4sXb0UEI0faPO2ynrH4HKTKbm78NUWMyY0ihc8af4ttt7VUYsif1Tun1/ZiEfFVdx86F8VpbW9Ms18B0CEad3aBwZmqrYVPoNufX70R5Juo+PjycgIKBPlyJ3V+G1aAjuZ4S2SlzvkJyN8Eo8vBQN2X80/3hpZCD7A7W8/+T9FF9+ORPnLuDKF9+gLGU/4zd/R+wvr1BTZsNdcD4OPZoayVSU0jBoFCqVM/E4Nub5di+b0mhivF7HoOP1+T3BaFVyXrsokayKBl5al8G48+9qLteuLMk70csb4P8p3QozVVRUcMUVV1BaWoper2fEiBGsW7eOWbNmAfDLL7/wwAMPcPbZZ9PY2EhUVBTLly9n3rx5zXNkZ2dTVXX0BVtUVMTFF19MdXU1vr6+TJ48mR07duDre3wbHJ4KSKJI1Ve3IBPcGHb5i3y+I58DhXW8e+1YXiss54fyOnJMRytlTreLfFhcxbXBvkS6dD8sN8FDx5VBPrxeUM4lE+LwlMuxFjYgmhoQBFCFuberqtsZG6oNPJ9bxv0RAdwd3rcvw85wiDKqzSEkNNQyx3E6SQme6D0qGFZiItphRqHQkmE0c3taPv4qJW/FhaFTdByS2/RVJqmbikmYGcKk83qeRNoWZRY7oRoVWU0WdtU3cmFgz0t+y4xl3P7H7dglO69Ne40Q967nmskVCsrMeZSZcpED9z/1Ndpu5sP0K4dWgT7YqVL82bnw2NEqPemzTxGNjVizssg9/3z8v/6qxakqWQEP175CvioY+34PQEHYhEQCAv7E4TA2GzVtUWi2Eut6Ev0ejgPDBum5/8wYnv4ljdOH+DL86g+xLptIxfIr8R7orj3ACaBbb6IPP/yww+PR0dGdKv7m5eW1+P6rr75qe+AArdj7yweMMe8mafI7+IkaXli7k3HD/bi1tAwJOMvXg1vD/PBTKamy2ii1V7IJM8kNTT0yZgDuCvfni9Jqviyt4ZZQP9RhThVVySFhLTQgmh0IMgFVmBsyddc+Tka7g3vTC5nu5cZdYf49WleXSf0e1j8KUWfAWa+AIPBLxW0UFFiQLBuwBIrolCUMH/EHwkjYuXM2p522mdfyy6mxOTjQYOKiA9msGT2kecpDjSbeyC9nipcblwR6Y260kfJXEQD7fytg+LRg3Lxa55D0lDvD/LkrvYDTPXU8HR3c+Qkd8HXG15QYS6i31DPvh3mkXJnS7lhJkqhfvRp7ZSVel12Gu48fs2+4jcN7djDunEW49DAnpt8IGQ97PnJ+PaNlErPcwwOxzmncaIcNx93HjzOu/Q+HNm2mqnQo3rG/opWXEqRNQZwQTHjYBwwaNMh5rrx9Q6XR7uBgo4nLg7z7555OYq6dHMGmrEru+foAa+88nfIZrzL8jyvY8eUTTLhsoGR7gOPLyd/CdQAA6qvLidzzJPt0U0k84yKu/3QPkkJgk6+ci/08eHRwEB7HlDbb68w4hii5K6znLdUBfFVKzvB2Z3VFLbeEHi03FeQC6nBn9YLkELHmGxAtDgS5DFW4O7IOkou/LKuh0mbjxyFR/ZZU/DfS+kcQjWXI935MtaYJ96lvU5BlQS8HtSoUU+1utIOszdEVs8VZgu0qlzV3DP9nr6g70wpIaTTxQ0UdXgoFszzd0LgqMRudITi1iwLR4sBW0ogqxK3TJp+dMcdXzxzfvqmA8tJ4YbQZAYjx6rhtSONff1H6wFIA6lZ+TdSG9QyfMZvhM2Z3ep0yYxlLNy9FJVfx7JRn8dIcBwG5EReCzg9kSoiY0uKQz003gd2OzM0dn5tuBCBh9jwSZs8jdVMx5XX7kLsfwiFCUOBooqOju3TJv2oacEgw6Zh8L7NDZEtdI3kmCwa7g0C1kgQ3F2J1LY0iuyhxoKGJXfVGDHYHCkFguJuWCR463DvxBJ4MyGQCLy0eyZxXN3H/t8m8f8U57Dh0KaOy3uDwgVlEjWxbt2mAAfqDAWPmFCHjszuJwU7oJW+w7mAZG9IqsI704vHYYG4MaalpIdkcWPMNaEf0Tahuvq8H/zmUT4bRzFDX1h4HQS5DHenhvLZdxJJvQLI6EBQy1OHuCMqjD2ZJkvioqIqzfD0I7UZDyZ4iqrXI651GRkH9ryQoZYSH6BhuMCMT4hmpDSdfl0Z9VilytzLGTXfuKO+PCMAmSvirldz3jzBYg8OBm0KGwS5SbrUhV8g4544EDu8tZ8i4AJQqORWv78dWZkSuVxOwZGz3cj/6kQuHXki9tR6H6OCGETd0ONZWVIygVCLZbNiKirp1neUHl5NTn0ONuYZzV5/Lxgs3dnutjbUWRIeIe1crmgQBBs9o85DczQ3/pUvbPDbs9EEMtT1OdvbLqFQ+hId3vXLtg6JKxutdGeyiocHu4KXcMr4sq8ZgF1HLBHRyebOO0jCdlvsjApjp7c5XZTW8kldOodmKVibDSynHJIrU2BxoZQJXDvLh9jD/drWXThb83TW8sGgk13+6hxU7C1h81UsUvOgs1zZF7UTr6nailzjA/xNO7r+UAQBI3foT4+p+YWf8I8R6BfHQxxuRfDVcPyaklSEDYEqrQTvct0teD0mUsOTUofDSomgnNDLNy41QjYo5ezIY6eZCtsmCySGikgkkurlyhrcbFwd6o5XLEBSy5oojySbSsLUYl+E+KLydL6RDRjM5JguPR3WspNpbJFGisc6C+uzXqPj5PKo9FNR4qRAEgdOmB9P4YzYALiZXsCjJ/UMDhBM/JBgCnR6pV2PbbgnwWNQgnjhcwvn+blxxJLzgG+qGb6jzwW2vMWMrc3o/HPUWp2HXw9yivkYpV3JLQte6HrvPnUPtF19gr6oi+M3udZrWKrRYHM78rSDX7v9fl+XW88PL+xDtEmdcFUvMhN5XN0qSROUrr9K4eTN+d96BburU5mNKpScxMU91a759BiM76o18EB/OfkMT16XmUmt3cEOwL4sCPBmsVSMIAmaHyKbaBj4squKKlKP9jM7y1fNWXBgJbi4oZQKSJJFvtrKytIb3iyr5qaKO5cMjGOZ2koXz/sGsOH8uHR/KUz8fYkLk5GPKtW9h/G2fnujlDfD/BEE62bvndQGDwYBer6e+vh53996FVU42zCYjlS+MoUHhRcwDm3j0pzRW7CnEd0YwG6fGt2pkZ68xIzbZUAV3bUdUvzaPhr8KAfC7JQFVSNvnGe0OnsopJdNoZpzeFQ+lnEa7yO56I5vrGvBRKnhmSDDzfT1anNe4qxRtnDcFMonHs4tZX23AU6Fg54RYXPvBlV5ltSNHYtNbqeRnVKIbbWX+Qj2Gui0MCroYF5dw7PUWKl7fh2i0o58bwU+/vQJA6eEMwkYksuihzhspdoTkkCh/dS/2ShOCWo79qhRq6rYRGXkHev2ovrjNdhFFCw0Nh3Bzi0Mm673nS5IkEEWEbiZ0NlgbeHnPy6jkKu4afRdaRfcSZHesyubg5pLm0N0t77TtcekO5oxMchcsaP4+Nr191WRrYQPGfeW4JPqhDm37mfJlaTV3pRfyY2IUl6XkEO2i4e24sHY9jpIk8W15Le8VVvJgZCDTvdt/VhWbrVydmsvhJgs/jYomXndyJxibrA7OXrYFpVzGqlsmkfTDK4w/+CT7J71J4uyeNQcd4P8HffX+HjBmTnK2f3AXows/pfTi9VRpw1n09nasMXr+d2Zcm1UtptQqtMO63qizfNl+BJmAtaABdbQHvtd2Pzcjt8nCE9kl/FpVz5KIAO76R1hm3dY8brLX46tScnOoHwv8PNp1n1uamvhz+XsATL/yBtTdSDLdXNPAJck5uDTauW1NHaviX6PcPZehHkP5+pyvkQlHDT/RbEc02VF4akj58zd+e+d11DY7Zw8bR9gTT3T7d/BPRJMda2EDNt9ydu2f3/zzM2Zk93ru9pAkiX37L6GubhcqlQ+nTdqKTHZyeIS6S8HBan56w6ntMurMUCae23GF2KHqQ3yZ/iVnhJ7BtJBpbY6x5uWRPeeo4nh7xozkECl9Ziei0RkeCvzveOS61mXXv1XVc0VKLjIg0d2FlSMHd1r11h2MDgcL9x2m1m7ntzFDT/qQ08GSes59cxtXTAzjoXkxJL00n/CmFOw3bME3KPxEL2+Ak5S+en+f2v3p/+XkHtrNmMLl7A27hsCoBJZ+n4Kvrwu6SHcW+nu0Gm+vNiHvZhWNNs4ba4FTEM/j7J4p00a4qPloWDj3hQfwfG4Zn5dUA+BotPLzjnw+KqzkXH9P/hw3lKsH+XT4UN7362oyt2/h4F8b+PT+7qnufl9RS6hGRaNGRoVbPeXuTpd+Rl0GdZa6FmNlGgUKT+fvKm7sacxMzWV6Wj5NX3+DJSurW9dtC5lWgWaIJyj6sEt2J9jt9dTV7QLAaq2iyZTbyRknL6Hx3ixaMoaFdyd2asgA3P3X3aw6vIrb/riN9Jr0Nscow8Lwf+RhdDNmEP71Sqx2EYu9dSNVyS4hNh1VoxZNbStT//05FoEPhoX3qSED4CqX8/HwCOptDv6XV9anc/cH8UF67p8zlA+25LL5cDXhV3+EHQVlywe6aw/Q/wwYMycposOB9ftbKZEHMuqSx3lvUzbZlUY8E305zdMNtaz1f529ytScm9JV3KaH4HdrAoH/HY/Sr+exeUEQuCcigCuCvFmaWUR6VQPpqRXc1lBDRGIALw8N6VK/GofNjuzIS8HUQbPRtkg8ks/jkAt4XjKKAMXRXI0HNj/A7rLdSJLE1q9X8MMLT1Bd5OzOLtNqcPHyRnbER6noQ40jnS6WiPDb0etHMyrxiz6Zs9ZoxWBuLV6oUOhx08U3f++ibTvnp7vs/DGHj+/fwoHfC/tkvnaRJOe/I/hHuDNoiGeXTq23HNWUqWyqbHW8af9+siZOovazzwl47FHy/cIZ98wGxj61gdTill3jZWo5bjNCEdRy3KaHoPRt++9ilLsLD0YG8uWISALV/SOYF6xRcVuYP58UV1Fg6qNu6/3INadFMCXah3u+OYCo9aJsxisMt+xn15e9C90OMEBnDISZTlJ2rnye8WnPcGjOSrRRUzjz1U1cfVo477vauCc8oEWZ9N/Y6yzYKw3YKzLRjkxAruu/5pDtYRVFpuxMZ16txJ+eAmqlnJ9HDUHRxWqepvo61r79KkgSc/5zFy56jy5fW5Ikfqs2oJXJON3LjRpzDevz1vPUzqOJnT+P/pxvnnyo+ft7Vq4BwJKVRf3PP+M+dy6aoe03nexvqqs3YbGUExCwsM3GhlsPV3H1x7uxOkR+unUyw4NbNvez2xuorduFp8c4FIrO86aaDlRQ+0M26gh3vC+LRfhHDlaTwcrH9x/tinzty1PQuPaDZH/pAfh8Eahc4cofwaN7hti3md/y9oG3mRM+h/vG3tfqePHd99B06BD2vDwUfn58veRtVieVUNHgNBDynpvf6pyTBaPDwfCtB7kt1K9VCPdkpMJg5sxXNzE6zJP3rxjDznduZlTZ1xSc9xNRI3vWqHWAfy8DYaZ/MRXFucQfeoWdXucQO/5MHvw+BX93NTdMi6LJIRKgOhqmseTUY8qowXSoGmtJI2WP3knhtdeROWYMouX47+RUMhlPueg5ZGgi02ThfzGhXTZkAFz0Hpz3wGOct/Txbhky4PQOnemj53Qv50vcS+PFpKBJLcaI9rZDBuroaPzuvJMfDS7Mf30zX+ws6Na1+4La2h0kHbiatPQH2Lev7XYe3+8rJsTL6X07e9mWVscVCjd8fc7okiEDzg7VMrUcc1oNhg2t71mhkqFQHX1MyJX988iw7XwPo1wDtbnweveTpBcNWcTvi39vYcg4bCL71uWTurGIYpsNS4Hz/nRz5xDlp2s2ZC6NV0NlRt/cSD/gKpczx0fPq/nlzNubybuFFVRb2/4cnwz4HSnX3pBWwec7C0i8+n8UKsJQrr4Bk7F/erwNMMCAMXMSUvzFrZgFNTGXv8K3e4vYnlPN0wuHYz/yv+V2TGze0WhFO9QLbZw3mjANpn37mo9Z0tvOHehPHPUWJqm1bPRX4qlSnvAqjBD3EG5PvJ1h3sNYNmMZoSMSSDhzPkFDYrn06f+1GGu2OfjvqlQOlhh48IcUCmuajutaGxvTEQSn16PesL/NMSOC9WRXOsu+7zuz9x4kubsaR73zpd5WBZxKo2DeTSOImRTI+feP7rTTek9ZZXFD0VAKgGnYBR2OdTiaMBiSkaSO8zD2rstn5085bPwykz+8/Dg8ehS7x44hY8IEJscoGDlmJZNGr2Rp4RXw5jjY+GKf3U9f83T0IJZEBBKgUvJUdimTdqaxsrSmV73E+pPmcu01hyiod6BY/CF+jgqSP+pd9/kBBmiPkzs9/v8h+9Z9xijjFvaOe5VwpRtP/7KPcxMHcfoQX0wOZzKpwe5AkiTslSYUxwiKyVxdcRk7lqbduxGUStSxsT1aQ0lJCevWrSMoKIhZs2a16oTeEZZ8A64jfPkzWHvSVF9cP+J6rh9xffP3Z1xzc5vjBAHkMgGOvCMV8vY9SjabDblc3q3fTWf4+s4mL/8drNZKRgx/p80xV0wMw89NjYtawdQhvc/t8Vw0hMYtxajD3dHGty3JHxLnRUhc2wq+kiThcDR22RPUHo/4LyLXJlGDhvjxt3B5O+NE0cqu3efS1HQYvXsio0d/gyA4NVpM+/ej9PdHeaQNQUONGZ2nBkOlCcmmJ+lIx/I58fG8m/ouBrGQHFMVV/u6802xEf58Cqa2DlH1lNRNxZRl1zN6bhieAR2EfIv3weaXnYJ/Y69tc4inUsF/joSWK602Hj9cwh3pBaQZTTw6OKjflbR7wn/nx7Ezt4bbv0pylmvH38/4Q0+x/7fPB8q1B+hzTo63zQAANNTXELz9EZJcJjJqzpXc/U0yAP+d7zRKtHIZrnIZFUYLpqRKFH4uqAbpWswR8v57mA4kox0+DJmqZ0mJa9eupaamhvz8fFQqFdOnT29xXJIkzOZCNJpBCMLRnbolrx65zulZ+Kd0+6mAWiHntYsSWLGzgIvHhRCob/sekpOTWbVqFb6+vlxzzTWo1X2jZKzRBDFp4kYkydqucSAIAnOH90xArr6+ntTUVKKjo/Hzc74YFR5qPM6K7NF8kiRxIPlaqqs3Ehp6PdFRD3Q43pScjFyvRxUW1urYdL0Xr+WdjcpXS6q/06gy7imj/pdcNEO98LxgCIIgYDRm09R02Hk/hv3NL/Hq996n8hWnXlD4V1+iTUhg+NRB5KdUofOCyImraLKGMnHiw/j5+SHPUWC0WgHQiUcqzka2HdrrCZWFDWz8whm6ythZ1rFOzupboDId0teAWwDEdJy/46tSsiwujER3Fx7KKsZNLueeiJMvl8bZXTuBc9/cxotrM3ho0T3sf+kPwrc9QNWwKfgEtf4cDDBATxkIM51EHPrsHlylJgIuXsbmw9X8sL+Yh+bF4q07+rIc6eZCY3oN2hG+rQwZAJlGg+v4cch60QRQEATEIw94eRsVSIfS7mXb9uns2r2w2dUvWh1IVrG5rUFHOGwiW77N4q8V6ViaWlflnEhmxwew/JpxzBnWvsGwY8cO/Pz8KC8vZ/Xq1X16fblc3WsvR3usWLGC9evX89Zbb2EwGHo9n8mUR3W1s01BQcH7HYZ9ar/6irwLLiT7zDk0bt7c6njZ9lKU6fVIm8uoMTjDXvW/5SM5JJr2V2Dc5SxNdnEJR612vrgVCvfmMEvj5k1oRzlzbcqeehoAvzB3rn5hMsMXf4qnnxYPz03k5N7FCy+8QO52bww1EVhrx+MtPgJXrIaFbwNOI622dhcmU3GPfzfWdsq528RmAsURSQVzfcdjj+HaYF/uCffn5bwy9huOb0i0q/yzXDvsqg9wIKd0oFx7gD5mwJg5SUjftZ6xlT+QEnM7ev8IHlqVwsRIbxaNbtkl+SyLgi2iFQv9FyufO3cugYGBTJkyhSlTWjbsE0U7ZWXOF3hj4yFqarYCYMmsRX2kjUFnHNpaQsqfRRzcXMJnD2/v8Trr1uRQ/Mg2DL8f32Rdb29vysvLARg2bNhxvXZPEUWRysqjJctlZb3XLVGpfFEojq0+aD/U0bh5C5p4Z9l48b2tQzlppQ1ojiQX78ytAUDupkKyOF94f8sGyOVaxo5ZxYjh7zL5tO3Nnhnd1KnN+WIBjz5ydEWCgEYdRKPB6c3JTvPCzc2N8ioBWfmFWMrO5dt8T4icxt/dRnNzX2ff/ovZtv10DIbk5rksDgs7S3fSaG3s9HcTGOVBzKRAPPxdOOu2kR0PnvsCeA2G0+7otnfozrAAhum0LM0sOmnzZ44t15ZcfCid8SrDLfvY9VX32kcMMEBHDISZTgKsFjOatXdzWBnN2MVLeGF9JuUGC59eM75VLHy6v563q2r4oaKWiwPbznHoLQEBAVx+edtZCzKZAje3eBoaUgFwdz+iGKyUIXSQY3IsVrMdmUKG6HBgMfasKsPRaKVxi3PnbFifj+v4gDZVWruLKIocOnQIFxcXIiPbDr/Mnz+fgIAA/P39iYrqXNDtRFCcfgiZXE5gtDNJWCaTMX78eHbs2MHQoUO73BW6IxQKHaNHfUV1zSb8/c9GENrfG+lOP52yRx8FYND/Xm51/PKJYby3KYfRYZ6cl+jMefG6aCiN20rQRHuijjhagq5W++LrO7PF+d7XXQfDhqEOCEAbEQE4tWd+zf2VcM6iOr0Ji8GFoioQPSqIkqsoFAPR6lRMPzOSmbszWBIRwCwfPdU1m9DrR1Ffv4+sw88xepRTH+j2P25nW8k2AHZduqvDFg0ymcAZV3QxZ23IbOe/HqCUCdwXEcDlKbnsMTQxVn/85Rg6QyYTeHnxSOa8tpkl3yXz/hUL2XHwYkZlvk528iwGj5jU+SQDDNAJAzozJwHbP3mAsbnvkr/oV8zesZyzbCt3zxrCLdPbflG+8FMqf7jB91PicJF37lwrOpTKwU1/ED/tDIJj4jsd3xlWaw1VVb/j5XUaanUgTfsrUEfomxV1O8PcaOO3D1OxWRzMuia+612Rj0G0Oih9emfzzj3oiUnI+qDSZsuWLWzYsAFweqjGjx/f6zn/xlhXy48vP4PNauHsO5fgGTioz+Y+lvRtm/j5tRcAmH7l9Yyad7QfkdlsRq1Wn5CEUVPqQeR6d1QhIW0er2q04OWiQtaDDuPp6emsXLkSlWTmjqgCXJQybnBXsL1iDwBX5T6CLGsjIpX4B0/CX+XHEFsQlbNDOEs4GnIrm55Abu4ycnKd+Tfjxq7BzS0Wu2gn8bPE5nFvz3ybyYMmd3ud/YEoSUzamcZkDzdeimn7d3sysP5QOdd/uocnFw7jggRfil6chEKy43fP9oHu2v+PGdCZ+ZdQmHWAUbkfsDvoMsLjx/Pg9ylE+eq4fkr7SZnnTh+Md4WZZ3JKOp3fbrOx6sUnSf3zN1Y+ugRTQ+9zJVQqL4KCFqPRBGE5XIc2xqvLhgyARqfknDsSOf/+MT0yZABkKjk+1wxDNykIv9sS+8SQKSgoYOPGjaiOJE7/bdT0FSm/r6OqMI/KvBw+uvPGPp37WAoPJqP38wfgz+Xvtzim0Wg6NWRqa2v58ssv+eWXX3D0YV6Ddlh8u4YMgI9O3cqQsdkMVFX9gd1ubPOcgtRk3rruEtas+BQfHx/GcgDF4bWQ9iMZpbvwVnujsmvQnV2HV5AanYcrsRZfoiV/5MhQ2Vvv5cLDb2HM6O+YfNo23Nyc3hWFTNFCs2iUX/82DO0OMkFgupc72+o6D3+dSGbF+XPZhGPKtRd9iL+jbKBce4A+YSDMdAKRRBHDN7cik3mRcNkzfLo9j+Tier69aRIqRft2ZrROy4UBXtxQVIW/SsltYf7tjhXtNiymo8mBVpMJrVvfea8kh4TMpR8UYbuAOswdddjRe3HU1VGzYgWaoUNxmzmzgzPbZtOmTWi12ubk2Ouvv76TM7qHRueG/UgFjbtvawXnviJ67ERSfv8NgHPufaiT0a35448/KC4uJiMjg6amJhYtWtTXS+wSkuRg774LMBqdvbKmT0tvpYq8Z8336Dy9qK8qxyBXo/X0x2FQgMPO4nqR2pQb8DIFMMTTE4+LErmpoIZn3L15plTOfL0bg2ZG8nxpNb9XG7jjyN+RIAjo9Qmt1vP6jNdJqkgi3jseF2XPE+y7iyRJHG6yEKpVtdnGBGCc3pWPi6uotdnxPEkkEdrioXlx7Mj5Z7n20ySt/4KEWZec6OUNcApz8n7q/x+wZ9UbjLUmkzLjU7ApeHFdBpeND2N0WPv9aBoaGsjPySO0uoG7hofydE4pWU1mno0OxrWNRncqrQunLb6U/evWMGruOc079r5C6aPFVmZE2ZGOxnGi7MmnMPz2G9hsBL3wPPpzzulwfGFDIa/sfYVw93BuTbwVFxcXLEdUkydNmtRcvtxXDD9jNo21NditZiYtvrRXczkcDgRBaFPnJjxhNNe+/h6CTIa7T/fvQRTF5nnt7SgmHw+s1qpmQwbAZqtBrW75+XXz8qHwYApKqwXztLk863UGXhm1qOubOGi4g2Emp+fv0G+17ByWRX68M2x4zyC4dPpgJFEkfv9mwmpriI+8sMP1qOVqxge2DjtKkoRx82YQBFwnT+7zEN59GUV8XlqNr0rBrglxaNsILQeqnUZelfXkNma0KjmvX5TIwje38sLaDP676F6SXvqDsK1LqIo/baBce4Aec/J+6v/lVJUVMiT5eXbrz2TMlHO4bvke3DQK7pvTtqqrKIrY7Xays7OJi4tDGiwibU4izFvPAxV1RGrV3NlO35YJ51/EhPMv6pf7EDRyHDW9LK8WRWclSS9fAraiItSDB2NJT6fhjz87NWZe3vMySRVJrM9fj9lh5j+z/4NarcbLy4sJEyb0ai1tIVcomXxRe3Jwzjyg+jU5SFYH+rMHIz/SA+nvtLa/X5KHDx9m5cqVuLu7c/XVV6PTtS7R1/v1XHdk+vTp/Pzzz0RGRnLWWWf1eJ7eolL54u4+EoPhABpNMCqVT6sxp192NS56Pe5+/mTHjeHdQwX8x3cJqqIavBwCcUjIEEAm4mZ2eij9DDUkFGax30PC1drExs8+BODAup+54/Pvu71Ow08/UXL/EgC8r78ev3vu7sVdt+a78hpc5TIqrXZ+qKjlkjYS//VHNjJ1bXQBP9mIC3Ln/jlDeernNKYO8WXYVR/ieGsSJZ9ejdd965F1oSHtAAP8k4GcmRNE3oo7EJERddlr/Jpaxu/pFTx+zjDcNa1DNiaTieTkZIqKioiJiUGlUqHWaUicO4HTNGquLypnV1ndcb8HySFhzqxtUwa/yxzeAM+FwjuTwVTbq/V4XXMN1rw8NCNGEPR052WfVoe1uSKl3lKPTqdj/vz5TJw48YQkyBp3lWHcV05TUiWlz+4EoLHWzIpHd/Dx/Vsoz3OGv3bu3Im3tzfV1dUsX768z9fh4+PDlVdeycKFC1Eoerbf2Vi4kSWblrCvfF/ng9tBEGSMSvyCMaO/YeKE9S0EGv+mUVSgGj+fuKmzmOfrwcWBXsTrnSGgGrnEVzorAaNKqPLZjm9jPf8L9uT87ANEVpWyevVq8gsKkcmd92i3WXu0TlNyCoogpy5R9fvvdzK6+4zVu2I8ov49w6vtEPHfx3UdFASUWWysqajj3cIKlhdX8We1gaYj5x1vWpVrT3+FEea97Prq6ROyngFOfQY8MyeAA39+w5iG39md+CxDdD489uNGZsf5M2dY69200WgkJyeHmJgYNJrWSbYhIyLxc9eS9cd+9jQ1kXj6SORthJv6GkmUMKVUoh3mg9CD6pNmtr8FXhFQlgwrFsN1PU+6dT9zNm4zzwCZrEvGyO2jbuepHU8xyn8Uj018rMfX7TMcklOaHwmOJKZm7Cyjqd6KzeLg2+f2cMs7M/D29iY7OxuAhISEE7jgtmm0NnL3X3djFa38kvsLuy/djUbR9QTxY5HLNej1bSfb1jfZOPPVzVQ1WpgY6c2XN0zglZhQpKEhvCJW8M3eAtRyE/V+33Dt2I9xkWnwjArkf5KIUSZDFEV8Bw8hMHoIjbU1nHXHkh6t0X3eXOq+/hqA0E8+bnec6HDw0yvPUnQolRnX3kzsaVPbHVtU/AVFRZ8RPOgyPhx2EeurDYzTuxKgbjs/rdLq9I56KxXYRQkHUnN+TXJDE8/mlLKxpgER0MoErJKEQwI3uYzzA7xYEhFwXMNTx5Zr3/9tMh9ceS47Dq1jVOZrZCfPHCjXHqDbDBgzx5mmxnr8Ni4lRZ3ImLNv4r+rD9JkdXD9mdE8n1PK+moDhWYrZlEkUrIzymHm3MThHUrmD3Zz5eGIIGYP8kX9xz5Uni5Ej47t075BxyJJTlVWbZx376uIPMMg70j357gFHY/tAkI3XNQxXjF8Pu/zXl+zr3AdF4ClwIBkdeC5aAgAbt4abEfKz72PKD7PmDEDNzc3PDw8iI9vv9S+qiAPmUKBV1Bwu2P6A4vDglU86uVwdNIQsqekFNdT1ejMcdqeU938c0EQGBbsyeubnGtYtWMps3cW0ySBkG1k7ty5/Pnnn8TExJAwahQJo3pXmeQyahRRG/8CQOHZfr5bSUYah3fvAOCX119s15hxOExkZj6BJNnIyHyE03ymc55/UIdrSGowATB/XxYlFisOCXxVCiK0avYajES7aHhhaAhn+rjjo1TgkCDHZOGH8lo+Kq7i58o63o4LY7Ln8SuR9nPX8OKiEVy7fA+f78jngqtfoeiFHShW3YBp8EC59gDdY8CYOc4kf7aEkVI94oWr2VNQx4qdBUyeFMy5abloZTLm+OpZ4OeBymajuCCf31w9WXEghxlebrw4NIRBmpbCcGmNJq47mMc4vStzI/zxHDIIY1k9hzYmNY9RKpUERQWj8/focfjEuK+8uWpJsjpQhboh0/bBx2fWE+AWBJ7hMGJx7+c7hZFpFfhcHtfiZ9Fj/LGaHFiabIw8w1nWrFKpOO200zqcK2vXNn58+RkA5t9+HzEdeAH6Gm+tN/9J+A+rD6/mmmHX4Krsn+TwYYPc8XZVUW20Mja8pRGhcwkHnCrNI5AjKGRINhHjrjLizptCXFxc6wl7QUdGzN+4eHg488I6kfYSBBkymRKHw3bk+87/zgQgRKNiro+eKBc1SplAkdlKutHMAxGB3BTih/IYD6pCgCGuGpZEBnLlIB/uSCvgsuQclg+PZJKHjjyTBRHwUsrxVfVfteIZsf5cPiGMp35OY3ykN+rFH+H/1Zkc+Ph2xt/avpdrgAH+yYBo3nEkK2kzkT+cze7BtzHqkseZ+/pmyhx26sd4cUd4ALeE+uMil1FaWkpVVVWzVP7aqnqWZhZjkyQ+HBZOiEZFoFpJo0Nk5u4M3BQyfhwVjWs7Xgmr2UJJRiFNNUc1ZgSZDN+wALxC/Tr14Ngqm3DUWtAMaf3AFkWJT7blUWO0ctO0wejUJ7F9XJsP6x4EfTDMfgrk/feQliSJuvIm3Lw1KJTHP6Fx3TuvU5yeSm2pU4vonpVr+mReS249jnoL2uG+XVZ87k8qGywcrmhkXISXs+P5ESRJ4sV1GaSWGHhobBi6rw8j2UQ8FgxGPc4Xm2g7ruXVf5O1cxtF6QcZPW9Bh+X5lVW/U1KykqDAC1qpHfcHFlHkmpQ8fq8xoJYJWMSjr4VIrZpz/T24IdgXfT+Eosw2B2e/sQW5TGDVLadx4PuXGJ/2DEmT3yFhZt81/xzg5KSv3t8Dxsxxwm6zkvfcBAREQpfs5O3NBbyyIRNpkj9fTI5hkqczhGAymSgtLW0lpV9ttXPRgWxSGp3uZE+FnFq7A61MYOO4GEK13evc7LA7qMgpoTy/BJlMhkyQ4xXkQ1BMaItx1sIGAFQhbbt81ySXcOsX+wGn6Nme//b/g7fHfHcd5G6CxnIYvhjO/6DfLrXl6ywO/FGI2kXBFc9MQqVp/yUgiiJ//PEHFRUVzJ49Gx+f1lU73SVzxxZ+euU5AOb85y7ip57R6zktBQYq3zoAgDpSj+8NI7o9x4GGJr4vq+W8AE9GunXNmHhqx1P8kPUD1424jptH3tztawI4GqxIVgcV6lou++Uyasw1vDHjDaYET+n85P8nmBwir+eX46aQM9JNi1omo9hiZUttI9+U1aCRyXg9NpTZPvrOJ+smaaUGFizbymUTwnh4fgwHXpxLmOkQjpu24hMQ2vkEA5yy9NX7+yTeRv+72LPyGcbZczi8YDUF9TZe+z0LW7iOTycNaTZk8vLyaGpqIja2dU8Xb5WC1aOi2WcwYnKIJDU08Ud1A+cHeHbbkAGQK+QEDgkhcMhRRdaKzCKS1+/GzdOd8NFDwCFhKzWiHdH+y7XcYEGtkGGxi835C90ht8nCitJqzvB2Z6JH6xLjf2KyOnh3UzY6tYK4Yb68lFfOVE837gjvgn6O6IC/Rddspm6vtTtk7i5D667CZLCS8lcRo+eEtzv28OHDbNnizBvKzMzkscce6/X1h0yYzGXPvYZcocAnpG3tjn3r8tm3Lp+YSYFMXtR5ryZbcaOz/lEES07Xuzs3ny9KXHIgh2qbnXeLKkmbPKzTpNPKpkpWZqwE4K2kt7g09lLcVR0/8CSHo1XulNztiKrzwW+ot9TjkBz85/f/kHJlSrfv49+KVi5jSWTLbvFjcGWBnyf3hgdwf2YhV6bk8syQYK4e1HuD+1hiA91ZMjeGJ9cc4vQhPgy/6kMcb59GySdX43XfbwPl2gN0ykBp9nGgJDedEVlvsct/MdGJp3P/d8k4NHIumBzODG/ng7mkpASNRkNcXFy7eS0uchmTPd2Y5aPnvohAfh0zhOuCfftsnX5DghkxayyeIb6kbNhD4ZZMXBJ9kXXgVViYEMQQfzeC9Bp+vLXjPI62uCY1l2UFFZy7/zDpxk4MDEni3Q2pvP1XNk/9nMb1X+5nr8HIs7mlfFfm7LRstzeQdOA6du1eiNF4uOX50x8C70gYeQks+qjba+0OAZF6TAZnAmrU6I6F60Sxf8pj/SMGt2vIOBwiO3/MwdJk58CGQsq6YJxoYr2QaZ3G4N8Jyt3BIorU2I6K8B37dXu4Kl3RKY8auWp5x4Z76WOPkT58BOUvvNjm8SjPqObk5JG+nXSzHqAZf7WSj4dFcG2wDw9lFvFnde/bovyTqyeFc/oQX+79JhnJ1ZeSaf9jhHkPu1Y+0+fXGuDfx0CYqZ+RRJGUF2bjZ85Fd/cefslo5P7vkhHH+LD3nFHNyXUNDQ3U1tYSGnriXaoWi4XMzExCQkLw8PCguroaSZKawx9Wq7W5f1FvidqUjFWUsEoS78SFsdC/nURKuwU+mY9YtJdXlNfzRsNUZEoZ4lQZQuMuHhh+DjcOHklR0edkZj2FJDmTJ8+Ykd31xYgibHsdGkph6hJw8erxfdksDnKTK/EP16P37bj/lMPh4JdffqGyspK5c+cSGBjYakyjtZEDlQdI9Evsk1wPSZRY/uA2jHVOb9rlT0/E3bvzPlmixYFkdTR7OrrL09klvF9UybXBvjw8uOMKnb85UHmA9XnrWRC1gGjP9j1I9tpasiYeLemN2vgXSv/WHruNhRupMlVxTtQ5KGUnphXHqYpDkrg8OYcDDSZ2TIjFrY9lICoazMx9dTMJIR58cOUYdr59I6PKv6Nw0c8MHt73QpYDnHgGcmaO4WQ2ZvaseY8xe+4jafI7BE84jzNe3ojNR82M6eEsizu6a66rq8NgMJwUxozVaiUjI4Nhw4aRlpbWbMRUVzvLXy0WC9HR0bi69r5K5a2CCp7LKWW+r5634sLa9EpVV1eTsnoZ0wr+1/yzOR4/cet5MTy85SLstkoAtl68FWP17xxKuw9wfqy7ZcwcXAXfXOn8WpDDozU9va0+RZRELvjpAjJqM1DIFOy6dFefvIQrCxpI21pC1Bg/gqI7r8Y52RGtVg5PnYaj1im+OHTfXmQuxz/J999OidnKpJ1p3BTixwORrQ3v3vJ7WjnXLt/DEwviuSDBl5IXJyHDQcC9O9C4dB6KHuDUYqBr9ilAfXU5kXueZJ9uKgkzL+bJNYdAgJooHTO9W/6nlZaW4t/GLrKn7PtlNZ8uuZ1Dm//s9rmpqakolUoyMjIYPHgwfn5++Pn5ERsbS2xsLCqVCpc+ekn8J9SP/KkjeDs+vN3w2tq1a8mosOA48nF1WARWDjZwutLcbMgAlBnL8Pc/m7CwmwgMXMyUybu6t5imapAdCal1oo1iaWqiLDsLqY9CRA67jYLUA5iNrTsf15hryKjNAMAu2qlqquqTa/qGunH6xUP/FYYMgEylIvSjD/G+6UYi1/zUr4aM1WwnbVsJ1SX926m6traWt956izfffJOamt4b102Gev745F32/ryKnu5jgzQqrhrkw8fFVVj7IUR6Rqw/V0wM4+mf0ygwiMgWf0iAo4wDH93W59ca4N/DgDHTj2R8dicK7IRetoy/MipYnVTCeVMjQCVnrP6oV8Nut6NUKpuF8axmO4213U+m/ZsmQz1/fvoBlXk5/LrsZazHdM3uCqNGjSImJoaYmJhWYn01NTV4enr2qdx/Z3PZbDZMGj8+5XzSBl1EQdo0Su67j+LpZ3JhsLP/0oLBCxjiOQSZTEHU4HuJi30Olap1D5sOGb4IQieCdxTcsLH99ZjNfHr/bax48C6+f+6x7l2jHda8+jzfPPkQb15zEZYmY4tj3hpvhnkPa/7a16Xv8qROOA477PkYkr/pVH+lK2hiY/G7807UUVF9sLj2+WN5Gn98ms5XT+yiqqih366zZ88eGhsbqays5PXXX+/SOY4GK7bKtv/mN3+xnIN//c5fn37AphU913G5IMCLeruDTbX9Y8w9OC+WMG8Xbv9yPwFRiRyIu5fxVd+T9PtX/XK9AU59BoyZfiJ1y4+Mq/uF9GH34eIVxH9XpXJalDcRUR4I0CxLXl1dTXp6OiEhzqoiQ7WJzx7azvKlW0ndVNyja8vkcmSyo7FsQeib/2az2UxZWVmbOR39ycyZM3FxccEr8WyiLn0Fc3pG87G73Rey45IdPDW5ZS+mcoOZA4V13dt9avRw1Rq4bS8EJbQ7rCIvB0OlU5At70DPew8dS+7+PShUTsMxe29Lj5IgCHw05yM+mfMJ6xatQyH7FxUhbl8GP98N318Hv/33RK+my5TnG3DzdrZoyNxZ3m/X0el0mM1mAIKDO1dytpUbKXthN+Uv76VhU1Gr46aGenSezlywsuzMHq8r1lVDiEbF5pr+MeQ0SjmvXZRITpWR59emM27x/RzQjid0831UlRX0yzUHOLUZMGb6AXNTIx6/388h5TDGnHsHr27IorLBwtMLh1NvF3FXyJEf8UbU1tYydOjQZg9IQWo1liZn8urGLzLavUZHaFx1zL3lLiISx3De0sdRttHTqbs4HA4yMzPbLBvvb4KDg7nhhhtYsGABShcX3GY5tWxU4eFoExNbKcwW1TZxxssbWfDmVh747kjpraXB6QXoA3xCw9C6O7U23H37JjQYkTgGu9XpjRs8ehwOh4h4jHCZVqFltP9o1HI1jZs2kXfxJVR/2L8VWceFqizwjHB+vX1Zt06VJIk9v+Ty0xtJVOR3v7rGXlWFKSmpR+GW2ElBNFSbcdGrGDM/vNvnd5WxY8dy+umnM3XqVK666qpOx5szapvvp/6X3FbHxy+8AIfDTuiwEZx7/yPtzpNdl81veb9hO6JC/E8EQSDWVUNmk7lrN9IDYgPdeWBODB9vzWNjVhXBV32EiIyST65BdJz83cEHOL4MJAD3A9vfv5PRRZ9RevF6GtwGs+DNrdwzewj/mRbFR0WVPHq4hIKpIxAEoVWlUHmegW+f3wMSDBrqycK7EpvnlRwOjNu2oQoPRxUS0t7l+4W0tDSio6N73EW5L5EcDrIOpvOwVU6omyvPRAe3kGr/bm8R93xzoPn7vEtN8MON4B7kDB/1okrpbxpqqqjIzSFsRCIKZe+TcR12G8XpafhFRFJb5mDNsgOoNHLOvXdUqyqjrGnTsZeVARDy/nvopvSv8FtJ6bfU1m4nLOwmdK6d69F0i4Kd8Pn5oNTCNWvBe3CXTy3PPfK3coRb3pnR5XPtlZXknHU2jvp63ObMIfjVV7q1bICGGjMu7irkipNnT2gpMFD59gGQwGWMP149KKEvbixmwaoFWBwWojyi+GHBD22OeziriL9qGtg8vv82OJIkcdXHuzlYYmDtnVMo2f0TIzZey44h9zHhklPHkzdA+wwkAJ+k5B7azZiiT9kbdg3BQxJZ+n0K0X46rp/iVPT1USmxSRK1dufOwsvLi8rKSsqOvJz8w905/77RnHn9MM65I6HF3BUvvEjh9TeQPWs2poMHj9s9VVZW4unp2SVDRpIc5OW9TWbW09hsfa9FAc5mks8JLhy2OvispJq70lu6nceGe6E90kJg/ohA2PMRBCVCXQF8dWkba5ZIazRh7MZuz83Lh8Gjx/XIkHGIDj5I+YAXdr9Ag9XpppcrlIQOG4HGVUfqpiJc3FU01lr44rGdrSc4tkt5PzUT/RujMZu0tCWUla1i5845fX+B0PFwfzbcfahbhgzQwnPVXZqSknDUO7V1Gtau7dEcbl6ak8qQAVCHuuN3WyI+1w7D8/yeGZ7p1elYHE4v4eG6w+2OkwsC/b0TFgSBlxaPRJIk7vvmAMOnnc8OvwsYlfEKOalt/G0M8P+Wk+sv8RRHdDiwfn8rJfIgRl3yOJ9syyO1pJ5nzxuOUu78VcfrnCGffQZngt7fya+exzSqC4jUEzXaD5msZWKscedONEca5FW/826/3w84w0tVVVUEBAR0aXx5+Rqyc16msPAjtm0/vd/WJRPAceRJqvzH7ynU24Xf7jqdlTdMYNnFieAbA8V7nQfHXMOOukYuSsrmgyJnJdR/s4qZvjuDmM2p1HdByK23rM1by2v7XuOzQ58x69tZAJhSqyj73162Lv+NrPyD1Fc4Px/Dpw5qdX7Q00/jMmEC/v/9L7pOGk62SWkyfH8jpH7X6VC7vf+SW5tRqHvUJysg0p3E2aEEDtZz3r3d63ytHTESmc5Z5uvaz56t440qSIcmuudJ+qP9R+Pn4hR6vCr+qnbHuSvklFhs7Ks30uToH+FHAF83NS8uHsGfGZV8uj2fhKtfpVgejOz76zA39W812QCnDic+ZvAvYve3LzLenk7a3K+pNMHLv2VwxYQwEkOPGiqRWjX+KgWbaxqY6e1OTk4OQUFBraqG2sJt5kyqljnzCvzuu7ff7uNYBEHAZrMhimKnDSkBrLYaZDIlomjt1xfhQ5FBPHK4mLO1eh4d7HzhVzda0GuVKOQyQrxcCPE6Upo7+ynwi6VeH4HbkDO4Z2c6OSYLf9U2EKJRsbqiDn+VgnKrnY+Kq7grvGuGW0+pNdeikqmwilaMNmflUt1PORikLHZU7KRB8karC2TW3DNInB7Z6nzXiRNxnTix5wv47jqoyoDkr0AXAOHtG0Tu7iMJCrqQ2trtREc92PNr9gOCIDDpvJ5VLSn9/Yhc8xPWvHxcxo3t45Wd2nhoPPhx4Y9Um6oJdW9f9+qaQT6sKKlm3r4sVILALB93rg/2ZUIX2pJ0lxkxR8q1f0ljQqQ3qkUfELhyLkkf3c74W/8FuWMD9JoBz0wfUV6UTfyhV9npvYCYcbN5ZPVB3DVK7j1zaItxgiCwwM+Tb8pryC8tw8XFBb2+a43bfG75DxE/fE/09m2ouimut+FQOZd9sJNV+7tXISWTyZB3oy9KYMBC3NxG4OISybixfdOpuS0iXNR8NiKSJ6ODUcgE3tmYzeinNjDrlU2YrP8IF6lceN7nLIaW+DBvbxZ2SUJxZNdqESUmeLhSbnV6ZM5rT4G4B9hrzFR/kYZhQ36LJNOzB5/NMJ9hhLuH8838b9j+w2Gq1fsoGv8oUaM3kj3MncxgG1FjfLu2u5Yk2PIKfH0FVHahQsVcD4ojSeENpR0OFQSB2JhnmDTxT3x9Z3U+9ymEMiAA1wnjEfo5VHcq4qp07dCQAfBQKtg4LoYfE6NYGhlIdpOFhfsPc39GIaZ+8NQ8OC+WcG8X7vhqP4HRo0iKvYfxVd9x4I+Bcu0BBhKA+4z9L8wjpOkgyjv2sqXQxi1f7OO9y0czO771Lj/fZGHCjjSWyE3ceXovdthdxO4QSXxiPQ0W5wv793umMti3a7uniooKBEHA17fvtE1ESeTF3S+SXJnMvWPvJdEvsfOTOmHKC38AUFhj4trJETx8VlyL47GbU5CAhux6dI12lD5aZDkG5g315+Fz4vmztoEEdxeCNd2X6RdFqVVIEKDq00NYCwyIjTbcpoWgb6PZ5OG9Fax7P5WQhG/RhW7nFc0N7Bacn4lPh0d0rUNx/nb4+Jh8lsc66bOU/A388QQMnQdznoN/GEySJHVqRBUeTCb593XEnz6D8ITRna+xt4gOKEsBnyGgGlD1PRkRJYnlJdU8cbiYcXodnwyPQCvvW0MxrdTAgje3cun4UB6ZH0vyi2cSYkpHvGkbPgHHtyhigL5hIAH4JGLfus9IbNpKwfjHQK3n0R8PMic+oE1DBiBMq+bqAA++rTKQ09Rzcbzu4DjGZnV0MXFSFEWqqqr61JAB2Fu+l8/TPie5Kpkrfr2iT+aMC3SnsMbZqPLska17/sTqtNRZ7Sgy6rEUGWlMqgKryFe7C/lyRz5n+Xn0yJDZ+GUG79zyJ1u/a50oKdkcyNROr5aj0drm+WU5OYBEdUk8oqqBcgIJtTvzAH7LLeD7Zx9l1YtPYmrsIGRn72YH8BGL4c4UmPt8K0Pmk625DH14Lbes2Ndugq3ocPDjy8+QvnUj3z37KA3VLRWJHQ4H3333HW+++Sb5+fndW1t7rPoPvDcVng8DS9fyJERRxG7v/xyoU5Gt32bx2X+3kbmrrM/mlAkCVw/y4fMRkeyqN3J3et/rwbQu1/4YCYHiT67uMzXuAU5NBoyZXmKoqyZ4+yMkuUwk8cwreW5tOmabg8fOie/wvIsFM2JAEFek5GC0969mgkIu49nzhjMyWM9TC4cxxN+t03NsNhspKSlE9YOSalf7CkmShO2fIaN2eGnxSJ5cOIw1t00mIcSj1fF3hvrwZLQ/Htqj12484qkK9mx7p+8wWKl8L5mKd5NxGFobneZGG6kbi5EkSFpfQENNS80N/ZnhCBoFLol+eC6MwuFwkJGRQVWV8+Vf9e57KF+5F70tBUeVJ3XbbuHSLCXFMlcS3FyYm76L0uwssvfsZPk9/2n/5iOmwqgrIWAEXN2zypy/ef2PwyhlAj+nlPLN3sI2x4gOB1bz0Xu1mloaU4cPHyYlJYXKyko+/rjnKrMtOLQaVG7gsMLBtkuFj6WxsZE33niD5557jqysrL5Zw7+E2jIjSRsKMVSZWf/RoT6f/zRPN16OCeGHijp+qqjr8/mvPi2cqcd01y6a+jIjzbvZufLZPr/WAKcOA8ZML0n7/F5cpSYCLl7G7vw6vtxVwJI5QwnQty9UJ4oiapmMh6JDONxkodDS9q69L1mQMIjVt07msglhnQ8GDh06xLBhw/qsO/axjPQdyW2JtzEteBrfnv1tm2McDpFV/9vPe3dsJGlD5zs8N42SyyeEMWxQ67BMefnPpO4cT2zhBbx/6WDOSxzEM+cOY2HiIF5aPJI5w9r2oDVuL8FWZsSaW0/ps637PCk1cjS6o8aR2qVlPr0q2A3/2xLxunAogkLGhg0b+PLLL1m2bBk5u3ZR+coruNdUM3rru1zndzMRVV8z5d3H+Onpx7m03k5Fgw3xiGdB7dpBWFAmh3Neh5s2Q1jvwpaDPLQYjxiQ8UFth7gUKhVTL78Gd19/Jl98Jd7BLd37XUlm/xtJkrBXm5DsneyqI6bAkTJ2hrRfIl5rtGK1i6SlpVFXV4fdbmfFihVdXk+r9dkc1P2aS/3aXCTbyb/zb2pqIisrC5utbbE7AKVa8U+HXLuYDx2i4LrrqVz2ZrfEBc/18+BMH3eeyi5p4RXuC/5Zrj1i2iJ2+C4mMf0Vcg8OlGv/f6Vbxszbb7/NiBEjcHd3x93dnYkTJ/Lrr782Hy8rK+Pyyy8nICAAV1dXRo0axXffdV7++eabbxIeHo5Go2H8+PHs2tXNBoEniPRd6xlb+QMpMbfjGRjB0u+TGRXqwaXjOzYYjEYjSqWS7CYL7goZQ1x6r9Db1/j4+JCTk9MvcwuCwA0jbuCNM95gqNfQNsdU5jdQklUHEmz9tn2ti65QXPwFbm7DsVhKEWru5X8XJnDJ+DD+d0ECi0a3LxEvqOTNLzCFj1O4zmg8jNnidM3LFTLOuSOBUXPCuOiRcag0HRcH5ufnM2iQs/Jqa3Jyi2NNgkB9bhVNChvLvYfyyG85PJbrhypyOMOmz+LSp1/u8f13h7cuHcVNUwfzxfXj2zQM/2bU3HO4ftmHjF+4uNWxsLAwZs+ezYgRI7jjjjs6vF79mhzKXtxD2Yu7kWwdeOEWL4cLV8A9maBrO+z55a4CRj21nikv/IFK59H88j1W9qC7NGwpoXFrCQ1/FVH5XnLnJ/QSs83B5qxK6k3tGyPt4XA4+OCDD1ixYgUvvfQSYjthF52nmlnXxBM91p/FS8d0OGfZk09hSk6matkyapYv7/JaBEHgjjB/8s1W1lV1ksPVA1qVa1/zGiXyIPju+oFy7f+ndKs0Ozg4mOeee47o6GgkSWL58uUsWLCA/fv3Ex8fzxVXXEFdXR0//vgjPj4+fPHFF1xwwQXs2bOHxMS2kzxXrlzJ3XffzTvvvMP48eN59dVXOfPMM8nIyMDPz69PbrI/sFrMaNbexWFlNGMXL2HZXznkVzfx8+1T2kwGPZbs7GxGjhxJZloB0S4aZO1sk0SrA+OOUuR6FS4jj+/vwmAw9EuIqav8LUjm+MeOXbLZKHviSay5ufg//DCaoU6FU2upkdqVGcj1KrwuiUGmPvrRdtUNoajocwCCg7ueo6M7Lag5vKSfE0Fp6XccSrsfgNGjVuLhMQbfEDd8QzoP2wHExcWxYcMGAOafdx65ddso+Kuc00P2855ej8VTzew8C3nuQcTLjKQKOtZ4TuenmyZ3ec1tkW+ycEdaAR5KOW/EhuGmaL86LcTLhQfmxvTqeoIgMGnSpC6NNe6tQOaiwFFvxbirDN1prXV1AGfSb+xZHc71xc4ChgXpSSmu5/WdddxzwQXU19czZkzHL+yOEE02ZGo5ol3EWtj/mjvXf7qHzVnOMGTq42eiU3f9EV1XV9fcWdtisXQopxA91p/osZ234pBEB8KRakbJ2j0Da5S7KxP0rtxwMI+zfD24I8yfWJ228xO7yIwYf65sUa79IUEr55L08R2Mv+XDPrvOvxFRkqi22Sm12Ki22jsUPxQACcg0mrk+xLe5Fc/JRq+rmby8vHjxxRe59tpr0el0vP3221x++eXNx729vXn++ee57rrr2jx//PjxjB07lmVH9FNEUSQkJITbbruNBx54oEtrOBHVTNs/XsKYvPcpXPwrol88817bzA2nR7Yqxf4nRUVFqNVqfH19WZx0GA+FgveHhbc5tm5NDo3bS8Ah4T4nHPdpxydbv7KyEkmSTrgxWZZTT3FmLbGTgnBxd4a7DL/9RvHtR3f7selpAFR/kYa1uBFHtRlVmDt+N49sHuNwmCkt/Q4Xl3C8vHogMneEA8k3YrGU0dCQikKhZ+rp3W8yWVFRgZubG1qtlqS35pG2S8fnbqeTH7UDtSKfc/dWc9hjHJs1F+DtquKXO6bgo+t62KYt7kkv4PfqBsqsNuJ1Gn4f2ztjpTc0VFdRlp1JeMJolCo1lR+lYsmsBSDg/rEovHrupVzybTIr9zjzfD6+eizTh7bz+ZUk2PsJ1BfBabc7G4y2g73WTPXnaSCA92VxKDx693/REQ5RYvCDvyAIziV+cMUYZsZ1vfeXw+Hg3XffpaKiAm9vb2655ZYuaUN1hCkpifIXX0KbMBK/e+/tthBfrc3OipJqVpRWU2i2cnd4AHeF+fdI0E+UJPYamshqMlNtteOnUhKpVvLf5fsAgdW3nkbSt88zIeN5Dpz+PiNnXNDta/wbMDlEyiw2Si02zO145wTAW6UgUK3EW6lod0P9N3U2O8kNJk736trGrTv01fu7x6J5DoeDb775BqPRyMQjAl6TJk1i5cqVzJ8/Hw8PD77++mvMZjPTpk1rcw6r1crevXtZunRp889kMhkzZ85k+/bt7V7bYrFgsRxNyDQY+kc2vz0KMpMYnfcBewZdyvi4cVz03g6CPDTcOqNjT4YkSTQ0NLToftuRE8debULp54Kt1EjT3vLjZsxUV1cTE3PiXnh/ExCpJyCy5YtGaKelgkyjQGxy5pcofFvu/uRyDcHBrdsYdBcvz4lkZj0JQGxsz5IN/zYQbeXlqJflkSBKJJDC/oaJvD9Hw4Fz43l75kuoBD0ahRzVEbl8i8NCcmUy8d7xuCi7V5qskcmwHHmo+al630eqp1iamvjsgTswGerR6Ny45cMv8b4kBtPBatTh7j02ZKzWGuoN+3l4/jhGhngwNEDH6DAv0hpNpDaaOMvXo2WJcNZ6WHOn8+sdb8FD7WvtKDw1+N/We+mAriCXCUwf6sufGU5l6klR3t07Xy7n2muvpby8nEGDBvXakAHQJiQQvuLzNo/VGK2sO1jGaYN9CPVu+zPpqVRwa5g/14f48kpeOS/kllFttfNU9KAuGzR2UeLD4kreK6yk2GJDwKk+XH+kcCIs3oPqjcU892s6j174AAde/JPgTfdSFTfxX1WubRclKqw2yqw26tsIydbY7HgqFWhkMgLUShLcXXDpo9L4TbWNnO3bNT20E0W3jZmUlBQmTpyI2WxGp9Pxww8/EHdEYv/rr7/mwgsvxNvbG4VCgYuLCz/88EO74YqqqiocDgf+/i13H/7+/qSnp7e7hmeffZbHH3+8u0vvEyRRpOHbW5HJfEi87Fm+3lPIrrwavrhuPBplx+JyeXl5BA4KJq3RhEkUyTJaiNW1/wetmxRE9WdpKHy0+N4woq9vpU0OHTrUnNfR0NBATU0NISEhffJg7At0U6fide01WHPz8L//vuafu8925inJ3VW4zeieoGBXCQ6+Ep0uBqXSE52uYw9cZ4hGIxxT+py4Yzs/Xfs+uilth5Ru2XALO8ucyY27L92NRtH1F/9d4QHU2x14KOU8PLh12frxorakCJPBmT9hPlJqLtMocB3d887jomhlz97zMZkKkMlUXDw1FUGQU2y2Mm9vJiZR4vHDJaROHnb0pIYSEGQgiWBr6tU99TXvXD6apII64gfpcVF1f6+pVqsJ7aagZk+5dvlu9hfUAbDrwTPwc2//M6mWyXggMpAgtZL7M4sI1aq4MaRzz2+J2co1qXkcaGjiwgAvLgn0YqS7C2qZDJNDZFe9kU9Lqlgb3cAn2/IYO9iL8Vd+BO+cRvHya/C+b90pIYooShIZRjMVVnu7CdMKQcBXpSBSq0bvJu9xu4rukmRoYqSb9rhdr6d0+69l6NChJCUlUV9fz7fffsuVV17Jxo0biYuL4+GHH6auro4NGzbg4+PDqlWruOCCC9i8eTPDhw/vs0UvXbqUu+++u/l7g8FAyHHqIr1n1RuMtaaQMuNTVA4Fz/ySxqLRwYyL9CaloYlGh4hSEIjVaXA9Rjl3U0YWX5fXsbawgcZj1DEDbe3vlDXRngQ9OgEEAaGTPJy+oLKyEi8vL/R6PY2Njbz11luYTCaGDBnCJZdc0u/X7wqCXI7/ffe1+rlcp8LzvD7u6PzPawsCnp4Teny+JEkYjZlotSGoIiLwvOIKalesgCMNLpUBbb/ULQ5LsyEDkFKVwtiArkvw+6gULIvrWhUbOEUNU6tSCdeH467qu7CtT2g4noGDqC0tJiKx53ksx2I2l2AyOavdRNGKKNqRy+WkG82YjhiLVf/stxW3APYud4aZFn/SJ+voK9QKOeMju+eRORFIkkRqcT0quQyrQ2R3Xq2zqWsnXDHIh6wmM8/mlDLT253BHRQ/lFqsnJ90GKsosWZUNKP1ri2Oa+Uypnq5MdXLjQ0BXtxQvYfbvz7AhrtOx3D6S4zcdD07v36e8RctbecKJw8/VdYxQufCaR46FMfhWd9VrKIzZJXgfvILVXbbmFGpVM2eltGjR7N7925ee+017r//fpYtW0Zqairx8U6NlZEjR7J582befPNN3nnnnVZz+fj4IJfLKS8vb/Hz8vLyDhsbqtXqbpV/9hVVZYUMSX6e3fozGXv6Am77cj+CTKB+sI6hW1IwHmOkKASYoNdxa5gfm9KzWFndiKuPL7cFejPewxW9Qk6TQ8S7k92X0McKmu1htVpbhJeKioowHdEPyczsgkT+AJ2SmfUkRUXLEQQFUybvIuDBpXgsXEDtl1/hNnsW6ui2jTG1XM3YgLHsLtsNwHCfvtsYtMWTO57k20xnyfzGCzfipfHqk3kVKhWXP/catWUl+IaGtzmmsqCBjJ1lDBnnj19Y54aUVhuCThdLY2MaOtehyI5oGI3XuxKuVZFnsnJb6D88AFpPuOHP3t5OK/avW0Papj8Zfda5DJ3Yu6Tt44m91kzTvgo0MV6oBnVNGVwQBC4YE8KKnQXEBbpzZnzXvWtLI4P4pbKeV/LK2zWyJUniP4fysYgSPyRGEabt+Hk/00fPx5eM5sq3t7Po093suW0xu1J/ZGj6MhoNN6Fz77s2JX1NkqGJSqudCJfj/07rjD+qG5jh3fd5Mv1Br9+UoihisVhoanK6a/8ZjpDL5e2WCKpUKkaPHs3vv//eYr7ff/+9OQ/nZCJ/xe2IyIm67DX+SCvnpwMlVA/Wsdds5rZQP1YnRrF1fAzrxwzhyehgGhwO7ty0my9rjNw8Ioat42O5I9yfCR46YnVaRutdCe/kj7RPqMyED2bBysvaVE+VJImMjAyGDBnS/LPg4GA0Gueu6URWNfUESZLIysqirKzr6qZlZT+yafNYUlJvR5L6R8SwouIX1Cp/JMlOYdGnAGji4gh88gl0nXRufuuMt3hv1nvsuGRHt0JMPeGPgj/w1TrLn7/O+LrNMZIkYSszIpq7p7Cr1GjwC49s0/UvOkR+eiOJA78X8s2zezC1o5p8LIIgZ8zobxgz+jvGjv0RQXDOq1PI+WtsDLsnxvFQD0JrT+14itGfjebtA293aXyToZ4/Pn6X0sMZrHn1OWwWc+cnnSRULz+IYX0+FW/sx17T9XU/tXAYWx+YwU+3TUbRjU2Xi1zG9cG+rK6oo9zSdoXUd+W1bK8z8kpMaKeGzN9MDfTghnlDqC5p5LHNhwk773FcJBOpa97s8tqON412B3V2e5/2hOsr8k0WAtRKVKdAmA66acwsXbqUTZs2kZeXR0pKCkuXLuWvv/7i0ksvJSYmhqioKG688UZ27dpFdnY2L7/8MuvXr2fhwoXNc5xxxhnNlUsAd999N++//z7Lly8nLS2Nm2++GaPRyNVXX91nN9kXHNz2C6Mb/uBwwgMo3Xy49dsDOLzV3DIhnG3jY7kzPIDxHjoGu2gY7ubC1YN8eMtTwePxkSyfPIobB3mQlf49KSnfdFliPd+Qz5qcNTT1Nq6/6UVnQ8G0n2BFa12QzMxMBg8e3MIQ1el03HLLLVx11VVdCjGJktScZNobJEkic+dWUv9cjyj2zKjYunUrK1as4J133iEtLa1L5+TkvgpARcXP5Bd80K3r5ezfzQ/PP07mzq0djvPwGIvF6vRCBgYsaHdcW20ENAoNE4Mm4qp0beOMo0hS7/8PJgZNpNLkTEJdGLWwzTGG9fmUv7qPkse246jvm5YcdpuIqfHoy83U0LVSYLlci16fgEzW0supkcsI6UGLisqmSlZmrMQqWnkr6S3qLZ3rpAiC0DKn4CTPL/gbSZKwVZmc5S2AraTrGi2CIDDIQ4u8B2GRiwK9EJHa1KCpt9l57HAJ5/h5MLWb1TMPThiM1yAdKzbm4h0YwUHX8Xjm/NTt9R0vDjdZGOHmgpeyx7U4/YIkSSQ3mE6J8NLfdOs3WFFRwRVXXEFpaSl6vZ4RI0awbt06Zs1ydtP95ZdfeOCBBzj77LNpbGwkKiqK5cuXM2/evOY5srOzm+XcAS688EIqKyt55JFHKCsrIyEhgbVr17ZKCj6RiA4Hqj8eIVMxhDHn3Myilfswmuw8eEECN7ex65MkkczM1VisKs4ZNo+GhnKS9v9AXNxFCIKDQ4e+QhDk/F3Bb7HWM3rUDc27SoA6cx0XrbmIRlsjWoWWXZf2QkhQqQGr0fm1W8vwXV5eHn5+fri4tP7Qurm54ebW+cOkwe7gnH1ZZDdZeD02lIW92GUc3r2dn/7nrBTK2LGF85d2P9E7Ly+PQYMGUVxczK+//kpsbGyn56hUPphMzj5C3Unuddjt/Pzai1hNTeTs2811b3yA3q/tEGlc7Iv4+52Fm9swtNq29VSe+SWND7fkcvmEsE5bYhyLKFrYn3Q1BkMSMTHPEBiwsMvn/pMnJz3JWZFnEeMVg4/Wp80xppQqFH4u2CuaqP8tH6/FQ9oc1x1UGgWjzgzjwO+FDJ8WjFdgx4ZbZ0iiRN2qw1iLG/E4OxJ1eNeqMXQqHTqljkab88XeFU+Y1s2d2TfeTtrmPxk1bwFK1ckXMmgLQRBwmxJMw5+FaOK90cQfn3wdD6WCCXodT+WUUG2zc0uoX7MH4H/55ZhEkcejepasfvv0KB77PIn3kgoZF7uQoXvvp6wgC6tvKOlGM8p/NlY95msvpYKhrpo+bZBZabWR0mBC5KhmC0CkVo1Nklqt52Rga10jkzy6FnI8WRjomt0FDvzxFSM33cjBWV9QEDCOm97fxbixQXxzfuuSTYejicrKDfj4TKempoSSkp04RCuJCde0WxFUW1tMefkuYmLObf7ZvvJ9XLn2yubvU65M6fkNNJTD+odB5w9nPAJyZ15BTk4OOp2u13oyqytqufHg0YaCZdMTWhxvbMzA4TCi14/qdK7t333Jnp9+wGpyeqPuWbmm2+vZv38/q1evBuCGG24gKKjzh2JTUz6FhR/j4Tkef7+5Xb6W3WZj2dUX4DgiH3/V/97Ge1DPktGbrHbiH13H33+R6+48naEBXduZVldvJunAVc3fnzEju0dr6Cq132dhPNKk0O/2RFRBrR98kihRnm9A76tFq+v7thidYc6qperD1Obvg5/rOJR3LAcqD7A+bz0LohYQ7dm/ieUnA5LNgdBJNWa3yN8GBTtg1BXg2rZBXGm18Vp+OcuLqxnt7sIHwyIwiSKn70znphBflkR2nlDcFqIoEvXUeqJC9Xx1diRpny5m/5CbmD51IfGdiPZVWe1kGs0Y7A7m9KIUOd1ootjsfCb4qBQM02lbic1lGM3kmyyc4e1+UgnRGewO9hmMTPM6PpptJ1xn5v8T4t7PyJZHEn/afC5//S8UOiUfn9M6CdPhsFBZuQF///kIghw/v6H4+XW+y/f0HERBgRmTqRat1unViPOOI1IfSU59DudHn9+7G3Dzh/Pea/GjrKws/Pz80Ot7rx0QcUxMW/MPl3Nt3W727bsYkAgLu5mowfd2OFfMpNPZv3YNcruS8x98okfrSUxMJDQ0FI1Gg6tr13b3Li5hDB36WLevpVAqOePam9n3y48Mn3Fmjw0ZcFay+OrUVDQ4wza+bp3v7iVJorS0FKXSg5b7vv7FY8FgNEO9UAa4oPBu+wWx7fvDJG1withd/vRE3NsZ118Iyp7vrkf6jmSk78jOB55EOEQHSZVJROgjup203aeGTF0hLD8HRBv8/jg81naYzlel5KnoYM7x9eCa1DzO2ZdFjc2Oi1zGNcFtG0BdQSaTERDmRlaThT2SmuCmRsbmrid+/sWdnuujUuCldOWvmp6rPe+sa0SnkHOGd8cv5qGuGoa6nnytbDbVNDD/JNeUaYsBY6YTrBYzMY27ODD4JsqLa6kpMbJ49mB0bcQ4q6p/x89v7pEQUveIj19ESsqnJCZeCzhd21+f/TXlxnJC3Pq27Ly6uho3N7c+MWQARri58PmISDKMZq4Iaummrq3djlzuisPRSH7+250aM56Bg7jhrU+QRAdKdc//0L29j1956/Dpsxk+fXav55HLBD69dhyrk0o4a0QgXq6dezO2bNnSnEB/2eUvIgh5BAdf3slZvUeQy9B2EpLITa7CM8CF2rIm9v6az/TL+kaI8beqen6vNnBtsC9DOngZqMLccZ8Tjq2oAffZ4X1y7b5AslqxFhWjigjvU+2OZ3Y+w9eZzoTt9YvWE+DafkVov1JX4DRkusg4Dx3fJg5mcVI2M73deTxqUIdVnvkHqzm8p5z4KYNaiWpmGs3kNFkICXSj+I8CJrm5kuYSiWdd1z3bhWYrYdqeeRL/rDYQplUTeRJWJnWFtEYTMTrNSa8p0xanRpryCSTnwGa0ghXv4bN4Z1c+klxgycTIFmMcDjOlZavQuyc2l4Z2F4VCiV4fQ0nJnuafqeVqQt1D+/yD1Vnpe0+Y6e3OLaF+rfr+eHtPRRSdnobo6P92aS6FUtkrQ+ZUJibAnSVzYtrtWP1P0tPTmzWWtmyuZ3DkXahVPd/V9iWhsV7UljnDhQkz+8YgL7PYuDo1l+Ul1Zy+q31hTXDmg7hPC8H7sjiUfidHIqNkt5N38SXkzJtH0a23dasT9bFYRZH6f+jnbCrexCCdMxfri7QvWp0jihLbfzjM2vdSMVSbenTdLhE8FkInOoUJ577QpVNiXLUkT4pnWVxYh4aM1WTn13dSSN9exncv7MVucyBJEvsMRtZW1iMTYI6vnslBngjA3oJaxKDRhNuysZi7VkiRa7K0WWUqSRJGu4Nam50qq51yi40Ss5VCs5U8k4WfK+uI1WlPWUNGkiRyTRaiTsLGx11hwDPTCXVZ2zFJKiKGTSB50zY8/V3wOcZqlySRiopfCAhY0HWPjKEUMtdC9GzQH00EjYw8jb37PiAwcFSLZOC+pKSkpEU7hf5G7z6SiRM2IIpmXF1PfIl3fUU5v3/0Nq4enpxxzc0oVMc/l6MviYyMZPPmzQDMnDnzBK+mJZMvHEJEgi+eAS7oPPvmAVlrs+M4hbP8LDk5mA8eBKDxGEmK7lBptTF3byZFZhtvxoZyfoAzpDR50ORmfaCLY1qHVHKTKtm3zikwmL2vglvemdGj63eKQgVX/wp2Myi7HlrsyqbN8GcBs7QycuWQbhbZUtOAWSaQ4O7CKPejIeUwH1ckucCu/FoWRE9EleYgI3UHQ8d0fs8KQWDTkTDT3x+1v1fmIpehlAkoBAG5ICA7Ml4uCEzzcmshlHqqsbWukdNOsaTfYxkwZjpBqMunXO5PuFKFodbMsJiju15Jkqiq2oCraxSCIKfGXMPa3LWMCxhHlGc7L25RhE/mQ82RBM2lxaA++gEaHHk2KSmfM2zYZf3SQsBgMHQpIbYv0WqPn/HUGdu//YKKvByMtTUYa2s4rwfVUicT06dPJyIiAg8PD7y8up4nkbm7jLpyEyPPCEGt7Z/HgEwmEBLb/poM636j9vPP0Z9/Hh7HyDd0RIyrhksCvVhXZeChwT1LED2RqIKDkfv44DimorO7/F5toOhIcuktaQXNxsx/x/+XueFzGewxGG9t6xDgPzvQ/5O6Vasof/IpXCZMIPi1V9vtg9YlBKFbhkxXEK0OzJuLEeQC1cEq1HHejPZ2a7MLfILeBcldyV+51dw+eSzW1Qpqs3ZAF4yZyZ6nhkhcXyJJEo12Ef1JViLeHU7dlR8nZFYDTXI9kiThsDgYpHfuMA0NqVjMJej1o1GpnA+Ou/68i30Vzk7Kv5z7CyHubbjWrQ1HDRmA2jwIONo3xsPDH4djMqmpK1uc5uERRlDQKBTHlIlKkkRjYw319YV4eASh03VclWQwGNDpum55S1YrlcveRDQa8b3zDuRdKNM++Tn1tEA6QiaTERkZ2fnAYyjJqmX9h4cA2Ls2j5uXTe+PpXWIZLNRsnQpUlMTTbt345KQgCo8vNPzBEHgfzHHp/dQfyBzcSHi65U07dmDbvr0HoWQY1yPGgkRx3iJ5TI54wLHtXve4EQ/8sdXY6g0M+3S1oUJVW+9jeCipfH336l+/318br65+VhDTRUymRxXjxMn7ibIZewKVOGwOBhX7SB0SgTyNgwZgFCtmkB/HVn5BtQaFzKUg1GU7j3OKz512FlvZJxH76QQTjQDxkxXEARECQQJlAoZVVV/olR64O4+stmQAciozcBV6YrRZmR76fa2jRmN3tkb5tBqiJgK/q21RLy9I/H2PvqCEkWRqqps0tLXIIm2I+9g50NQo3HDzW0Q2TkbcHcLISKi/fLToqIiYmNjkCSpSw/Ruu+/p/qjj8Bux7B2LUO2bun0nHZprAC1W7u7tZz6HGrNtYzyG9Xu2sx2M3bRjk7Vc1fopMWXYGqoxzVxDDOuvqnH85zKGKqPqryK9hMYszkmX+RkUYiw22xsXfkZNrOZyRdfgca1793uyqAg9Oec0+PzE9xd+DZhMLkmC4v9u+6NkytlzLq6fe0ipb8/TbudLTM0w482ts1PTuK7Zx9BEkXOf/AJwkd2LrHQHzQ1Wikb5MZMg0jQ4hDkbh2HiEeHevBLeg3FdSbqPIcTVLXtOK301KPO5jjphPu6y6m9+uOCDLloc6pcygS01hRcXSei1bbeHV449EI+Sv2IET4jOi6nXnykyZ37oC55B2QyGX5+0fj5ta93ERCQQEHhdg4kf8mI4Re1MAiysn6jqvogAf6hVFUV43A04ec3B5ms40Q1h6EBQaVCsttxVFd3us522f85rL4VVDq4bU8r4b5D1Ye49OdLsUt2Lhx6If+d0DpROK8+j8t/vZx6Sz3vznqXiUE9a3fh7uvHuUse7dG5/xYiRvriG1pEXUUTZ143rPMTuoHh9wLMGTW4zw5DE9X+Ll5QKgl6+ilqPvscj0Xno46I6NN1tLk2g4Hk5GSioqLaTYBP/XM9+35ZjehwkLFjC7d80DqR9mRgsqdbn4dDgp5/jprPPsdl7Fh0k09r/nnmji3off2pKy/lu2ce6ZH2EzhLxx/b/hgHqw/y4LgHGRPQvWajv31wkKwGI1KZjXOHu6D8+XN0kyejHdl2Cf30SB9+IYeNudUMCRlLSOW31FeXo/c+eQRZTwaSG5qI052aSb/HMlDN1Al2fRh+9hIAlC5yGowVbRoyAHeNvou/LviLz+Z9hlzWQSKYIIBHCPRxTkxoyERCQyaTlPRR8043P38LMpmCiRPuIiLifHx9Z+HnN5/i4q86nc9j0flo4+PRxMczeO2vbY6RJIm1qaWsTipuU4YfgH2fQcg4Z4jtm6taHd5Ttqc5+rMyY2Wr4wDr8tZhF+1ISNyw/oZO195TjHUWVr2yjx9f20+TofPeQL3CYYeNL8JvD7fZM6u/UGsVXPDgWK5/5XTChvW+hL2+vp5PP/2UL5evoGp9NtaCBqo+SO30PPd58wj/8gs8zu+ljlIX+eKLL9iwYQPvvPMOtbW1bY6xmpqQK5wVieYGw3FZ18mCMigI/yX34zajZdhxUEwcdeWlAEy55Koez7+jdAerDq8iqzaLq9d13q5GtFgw7tiBpaGRaquduoomPBUymlQCaa9+QdUby8i78CIs2W0LREZ7uSKpZewrrMU/zmmc5af0wrv8L8QmShSZrYQejx6B/cyAZ6YT1EFxeBYYqKkoZlrYAXaWdiyN32binaOJ2rpdOOxG5HItLi4RuLhEUGCy8Hh2CcEaFQ9HBvWq9Xt5eTn19fVERUURHj6bpKRP8PYeisnUQExMS0Vbq60Kna5zzQ+Flxdhn33a4ZgfD5Rwx1dJAPyVUckrFya0HhSUADuPdE2fdFurw5OCJvH6/texY+fmkTe3Og4w1Gtos7z81OCpna69pxz4vZDqYiPmRhsrHt3B9a+c3m/X4sAX8NczIImQ+j3cfbDVEEkU2fDBWxRnHGLaldcTPqK16nRP6auS/y1btlBeXo7RaKRMVcxia981ibVaa8jJfQ2N2p+wsJt6VeVXVVWFTCZDFEWKi4vx9GztORo+Yzb5yfuxmk3Mv+2+3iz9X0PslOm4enohlysIjuu5J89F2b3y+KKbb6Z6917+s+RJcgeF8t/RnnhsLMeY4EHQuz8haLVIJhOm5BTUgwe3Ol8jFxD1KtKKDASfNZF6XDHm7IRpx8d4PhX4s8bAjOOk9NvfDBgzneAdPgJ2QGlWEiEeOn47rCCvHR2CthBFG5WV6/H1nYNcrqa09Afkcmcc/tmcUnbXG/m5sp46m4PXYttPbJREkfRtm5DJFQyZcFqLF1F5eTnvvvsuoigSHR3NpZdeiiRNp6o6o5UhA9DYkIaPT98kfaaVNuCjU1HVaOWH/cVtGzOznoDABPAe7PTQ/IMozyjWnLsGg9XAEM+2e/xMC5nGGzPeoMHawLyIeW2O6QvkKhkOm7Pqw82rn12vxipQuoC1EQxFbQ4pTj9E8u9rAfju6Yd77OLvC+wOkf+s2Mfe/FqeWjiMucOd1URyuRyHw9kU1NXTDbmHgNvpfZOkm53zMhUVP2O3N2A2lxAT81SP55owYQJbtmwhOjqa+Pi2c0e0bu4sfvjpHl/j34ggCIQNT+j1PAm+Cdw75l4OVh3klsRbOhwr2WwYt20nJXY4uYOcn6WnfG0UvTKVvwyN+DquofK119DNmIF+Qdv5R7U2B6JeRW5+AyIC+ZpYXCqTen0f/xbyTRb8VEo0fdiH6kQyYMx0QlBkPBZJTl3Fj8QGX4NgqeL9nHKeju/aw7qyan2L/BSZXI1K5Uzas0kSqiPemEZHxx2iD2xYy+8fvgXAqLnnMP2qo6GWoqIixCMdq7OysgDw8grHyyu81TySJCFJPetG/TcOu50Dv/2MXKninBETWbEzH4VM4KsbJrR9gkINCR1LiQe4BnSqWDotZFoPV9x1EmeG0mSwIhMEJp3fc10ck0NEIxM69n4kXgbpa8DSABd81uYQpfb4tgDoiF25Nfx2yNn1++YV+8h7bj4AU6ZMwWg0olarGT9eT0rqdUj5NkZ7r8TDo3t5Ef/EbjegVHphtzfQ0NixSN7fSHbR2QjTR4sq5GheycyZM5kyZQoqleqUVDjtEdXZTq9oxFSIPeuELkUQBK6Mv7LzgThzqlwnTSQ0LROlzYZNqUQugEIlRxAEfG66Ee9rrkboQCeqyGxF0qtoshrIrmzE6JtATOHXSKKI0A+yF6cSlVYbaY3mXvWfOtkYMGY6QalSk+4RALUVxI4bSqzXVv7MNlE0OIBgTdt/SDabAYNhP4KgQO+e0GzI5OW9gyjZsOqrUKv9uT8ikCWZhUz00PHS0PYVUg0b8nHdKmdw4CiyS/ex79cfWxgzgwcPRqPRYDabmTZtWof3U1OzGU/P8d3/RRzDvl9Ws+WrTxEdDuKnprPzwduQJHBVn/ofJ5VWwfRLeye7/1JuGS/llTHL253lwyOQtffi1PnB9X90OJd/xGBmXHMTxemHmHh+571l+hOfdnpFubq6cv6RvJe09AfRaIIwmfLZu+/CXje8DA+7idSDd+PleRrDh7/ZpXPqf82lcaszz837qni0MUcrftTqvs8NsNpFbv9yP4dKDTx73nBOizo5FJgB+P4GKN4Du96DK36EyP4L0fY1wW+/jff+/ayOiOCAHRb5O8OCKkHAKoqoOhG83FHXSFSgG4VCFUmFdQyNGItn4QeU5GcSFNE3rTVORkrMVlzkMjzaqU7aZzDSYBf/VYYMDBgzXaLJEYWutgy9sImChhC8TAqeS/qGhwYHoRQ4Esd3vrAkRBwOE2q1H3KZBo3mqECdXn02h9M/YpC/c7c4xFXDD4kdd+S1VTRh2FCAFhcSdRORLVyFZ7AnDQ1puLk583c8PDy4/fbbMZlMHfYkamzMQC53QaFoXQVRWdBAZWED0WP8Uao7VrGsryhD5+WNobKCgxt/Z85/7upw/P833imsQCMTWF9t4LvyWhYHdK/p3z9JPPMsEs88sbtqgCH+brxxcSJ782u5/vS2tW3c3UdSUuJM4o6MuLPduRpqqrA2mfAO7rjNgU4Xh7z8eipKizGFWXDz6ryCx1rUiCrMHWu+gYaNhS2Mmf5gU2Ylaw86O4hf+sHOZo9VdxEdIsl/FiGKEiPPCEHeF+7/xnLQeoKpFirSTiljRqZW4zphAqOAv4vBRZOJ8EPJHIgaytiA9o1GhyTxZ00Dc3317PbTkVRYx8zTpsAmKD205V9rzBSZrWQ3WZAL0OQQGeKqIUitxC5BVpOZYrOVWFcto9xP/YTffzJgzHQBi+cQhhQm4R10Dn76v4hXePKTBZrK3HkjLrRLEtaWpia+efE/uGg12L7/gpFXnY3r6M5LBIVjkoINQdvQBdiw2orYtfusFrteFxcXXFzaT7CTJBGTuQhfnzNaHTNUm/juhb047CLbvjvMdf/rOOl1xMy5ZO7chs7bhwseeabNMWJTE8V334OtuJjAZ59FO6x9fYs+xdIIuRshZDy4npgdcqSLmuQGZ++bUe4nR0+gvuLskUGcPbJ9BemgwAtQq3wRZCq8vSa3OaaqII8VD92D3Wph8sVXMn7h4nbny0vay+YvPgGcZdNdyRlyGe1H3feHQSHgdVH/v7Q8XHrWj+2fHNxcwrbvs5FEiYKDNSy8qw+Svac/BOsehOGLYVz/VQEeLwpvupmmnTs5GD+SoMeWMmh422XZVVY7JRYbkz11WIM9OFBYh5ffcEoEf2wFu4Hrju/CjwN2UWKvwcgCP6cHS5Iksk0WdtYZkQsC0a5qRrr9u55HxzJgzHQBVWA83oX11FaWEuWno77OzPtTY7jpUD5n783iiehBnWo+1JWVUK0MwuxvpUxeRfA36Si8NajDj7r6qj/4gMrX38B9/nwCn3kaQRBQ+GjxWDAYU3o1ihECUr2zXFgm03ZZ/A6c3as9PdpWB60tbWqWOrc02dsc8zf5yUlk7drG+Usfxy88st3Ys2HdbzRu3AiSRN6iRcSmp3Vpnb3mq4shd5Pz6yV5zl3pceaTYRF8XVbDNC93Bh/Hpm3WwgaqPjuE3FWJz7XDkOuOf98pQRDw8elYMj73wD4kyfl52/Ll8g6NGXOTsdtr0I0LRDvUC0GrQKbq/145Y8K9eHJBPIdKDdw6o2NPa0c01prRuCowNdgozmi7dLzbJFzcab5afyCa7AhqeYvNWK/ntFpp2rmz+fv1S+5i8hPPEjWmddhcf0QZuMEhkhDqwff7izFZHZTq4tHXJPfZmk4m1lfXc6b30feJIAhEuWhO2caR3eX/dxZUF/GOGA5A6eEkhvjryCpvZLaPnjWjolHIBBYlZTNjVzrP55S2q2TqOSgEXbCFmppBNMrMlMhqES0tE3Er33wLyW6n/ocfaPzzz+afq8docczLY/DwuxgceR8hIdcwduxqqqv/oqrqT+rr9ze/HNpCkiQcDlOb4SWAwCg9Hv5Oi338Oe2Ll5mNjax64QkOrP+Fz5fe2Zx03BZyN10LhdfjgiRB3haQHbHRczcf3+sfIUij4s7wABKOs1emYUsxMpUcW6mRircOHNdrd4eQ2GGIRxLeR85qXW13LFFjJxA1dgLewaFc8tTLAJjNZj799FPefPNNSktL2zxPrle3achIksTGmgZSG1p3UHYYDJiSk5E6+Fy3x+UTw3n2vBEM8ug4YdtqtZKRkYHR2NpIiz0tCKVajs5LzcWP9i6v7UTSuK2Ekse3U/7KXkRr74oNjqVBMpE22BkeEYEaVw17fvquzbFqmYBCgEa7g5HBHjhEidSSemwBiURYs7BZLX22rpOB5IYmol01/5rKpJ4w4JnpAkGRw7BJchoKUxkyZARlBjP1JhtxOi3rRg9hfbWBdwsreSW/nFtC/dC10S9EpVbj7u5DcMivaLVGfKVYtENbxvKVAQFYc3Od48OPGhU1tTvw9zsLQRAIDz8qwa9zdWorWK01VNdsAklCoXDD3T0Bmezof219/V70+vYlyFUaBRc9PA6z0Yarvv1YqtXUhN12VEiuIwl63YwZ+N55J7biYnxvb60t0y8IAsSe7WwVoXKD6FnH57onCXJ3FeZDzoe0ZuiJ66HzN/kmC1tqG5njo8dbdfTzGBA1hCuefx1Tg4HguOEdzqFUqVlwb0tF6JSUFPLy8hBFkXfffZfHHnusy2t6r6iSRw87k4PfjQ9rdsk7Go3knLMAe1kZrlOmEPr+e12eszt89dVX5OTkALBkyRK0x1Srefi5cPlTk/rluseTxh0lKHy12CtN1P2YjdeituUWusv+iv08dZ6dqBI5GSHVnLcrjLPuWNLmWKNDxC6Bl1JBjI8bGqWMA4V1TI6agCbrZQ6n7SFq5GltnnuqUW+zU2W1M8P736EX01P+/5px3UCl1lAiD4KKNKL8nBoxhyucLeIFQWC2j56Z3u7o5LI2DRmAykIDLpZq3N1rUCot5KkebDUm+M038brmGsI+/wx1pNOYcTgsyGXqDsNJKpUXPt7T8PGZjqvrEGprt1FV9Se1tTux2xux2Wqay8HbQ66QdWjIALj7+JE492w0OjemXXE9CmX7uQKCTIbPTTcS+OQTKHx9O5y3Tzn/I7j+T7gvq0dde+01Zhq2FGOvMbc7JiUlhdWrV1NZWdmblfY57jPD0E0ZhMc5g/E4p7WIWLcoPQBbXgFD256PtkiuTOZQtbOBpckhMn9vFvdkFBK/NRXxH4avT2g4IfEjelQirdVqO/QKHovdZiN7704aqp1dqrfXNTLCzfm5WJJxVNvHfPAg9jJnEq9xc/949CRJIjc3F9mR0GzukY3Lvw1lgCv2SmfOmEtix81v20IUJQ5uLiZ9e0tPd4xXDHK1lrRQAatVpHD+7ei82i54KLE4u4r7qBQo5DKGD9Kzv7CO8OGTsEsyqjP+PX2attcZmd6FxPh/OwOemS5SrY3AtSGbwb46ZAJklTcyOuyogSACinYezI2NGRRmNuIwexzz09Zj1ZER+N/fUnW0qvoPfH267mFQKt3x9nYm8NrtRurqduLt3Xnb+04p2AGCnBlX3ciMq25sd1hdk5UVOwsYGezB5OgTkIArV8CgnjXCk0SJyveTcdRaqF+TQ9DjE5H9o9y8urqa775zurb379/fLa9AfyNTy9HPDu/9RKY6+Hi+s/3Ehsfg0bpOe4itzV3LfZucn92HJzzM6JBzqLIdzb9ySNBX6RNxcXHMmDGDhoaGTqUI1r39KulbNwJw3RsfMEUl8FCV80W7YsTRiixNzFDknp44amtRR/dcX6gjBEEgJiaGtLQ0FAoFUVH9c50Tjed50ajD9SgH6VCHdd9bkPJnEVu/zUKSoDSnvlkqIcA1gCWxb/DA2r+wN8SyzlAB7RSOHTgSRhyucxquI4M9WHuwDI2LjsOKCISSfT27uZMMUZKQC32n5n0qM2DMdBGL1xBCC79Fo5QT5u1KZnnLXjpywCpJrZJyGxszaWg4iEeIBsVhE6W7LyN0hIOJMzuXSq+p3Y6724gWIaPuoFC4dpqM2SVSv4dvj/RSmf1Umy0J/uaB71Kay1Q/vmos02O6vzM7UUgWB47ao7F0R50FmX/L373Z3L7HprfYa83Ur8lB7qlBPzcCQX6CHlANpU5DphvsKN1BiFsIhQ2FPLnjSQ4MWcwEvSs76o2c5++Jopu3Yi1qoHF7Kdp4b7RxLXffMpmM009vWXFnszjYscpZ3Tdh4eBmeYHCg8novH1orK7i4MbfEeuauLSuAbnVgsJLgCNNCuV6PRGrVmHJSMd1Yt+1Y/gnixYtorS0FD8/v051Uk5VZBoFukntV7x1Rm2ZEZ2XhoZqM4c2lzQbM1lZWez96XcwD8f5xG2fYrMVb6UC/RGtlYRQDz7YkktVo4Vqj+H41+7t8fpOJrbXNTLBo+87u5+KDISZuogqIBYf6qivLifKT0dWRcuHfZhWRZNDpNLashrIYinD2/t0QiImcebi/3HmJfdy+tynUCrbFywymYqpqFiLRh2EVjuoT++jylTFT9k/UWeu6/pJeVvA44ji8W9H8xckSaLCYmvhCs6tMhLp4wrA+rTyHq8ze18Fq17ZT9buns/RXWRaBS4JzpCYdoQPSn/XVmMCAwNJSEjA3d2dRYsW9en169flYSkw0LilmNrvMvt07m7hMxSiZjq/Pv3+LnV2nx4ynaIGZ9jmlWmvIBMEvkuMYs/EON6MDe32zrF6RRpNe8up/vQQ1pLOm3Ae+KOQQ1tKSP6ziO9e2NP88+jxk2g8EmJKOPMsbDYb/pIdF5ulVRKu3M8HlymTEToIn/YWuVxOcHDwv8aQMTU29HkybdzkIKwmO1o3JZc8djQROjU1lUE+euarDjFJkcunV4zFYG87wbjSasf7GNG4kcEeABworEMIHk2oo4iG+po+XfeJwOgQcWsnteH/GwOemS7iFT4cdkPJ4SSG+Ifx3d7iFseHuDrL31IbTcxQH30YurnFYzYXI0kiVkclPsEzsdpFVIq27UibrR6jMRM/vzl9fg920c7lv1xOUaPzpbPvsn0o5V14cMeeBXs/dn594YrmH193MI+fK+s529eD9+LDECrTed9lGR8XBuAWciGPnBXXo3U6bCIbPjmE3SpSnFGLf6Q77t7HR9bf88Kh6M8ejMyl7T8NmUzGwoUL++fiDgnhSDWCZOm7KpBuI5PBpd+C1Qjqru36poZM5adzf0IuyAl2CwZALgjtqmR3hniMRIDYaOt0vM1sR6GSY7eJ1JQerVSacdWNDJs2C4+AIBQqDTPPmMX6Db8RHx/PxGM8MIdrD3P9+uuRIeP9M98nUt+2KOAAR8ncuZU1rz6PUq3myhffxN23b7ywfmHuXP3CZBBoIRwYEhLCgQMH8JTBRXOnkuDtxj6DkdPakMVIbjARqztakhzsqcVHpyKpsI5FMachOyCRn7KFYZPb7ut0KpBhNBPSw7+vfyMDxkwXCRo8HLskw1CQypDoYc0VTXqt0xiI1KoJ1aj4taq+RVa5SuWNSuV0kxeVb2bRmz+SWqbitYsSmDMssNV1amq34ufbcblqT6kx1zQbMgC1llr8XLrwABo8A25PAkEGHk7F1iqrnZ8r6wH4qbKOQnMgoT/dQWhlMo8qTEgTxyIoe1YtICG1rOo+jhXegiAgd+2/nXlHuM8Ko/aHLNSRejzP67leSZ8gCF02ZP4mzD2szy6vnx9Bw4YCtAm+aIZ0Xpk1fFoIpdnOz+OZ1x3t7CzIZPhHRlGea+DH17cgV8q49J6r8fB3IS/vHcrKVxMedjPfpW1GZjNTYW9kwaoFpFyZAsCanDXsKdvDVfFXEa4P7/Z9SJJEVdUGEGT4eM/o19yGhpoqfnn9JQSZjPm334erR/9WtKX+8Rv+EYMpy87i6yeWct0bH/bZ3PI2NnujR49Gr9ejVCoJDw8HwCy2/XAos9paGDOCIDAy2IOkwjrunDGaRklLQ/ZOOEWNGbsokd1kZp6vx4leyknDQJipi6g1LpTIA5HaqGgC5x/LWb4erKuqb3eOvSUhYE3FXVnOTZ+3TkAzGJLRuyf02wPPV+vL+ACn23aU3yh8tN1I0PUMazZkADwUcgYd44HyVSnB2tT8AhSMPa/0USjlTL8sBv8Id6ZfHoO7z8nTbLE/Ufq54HfjSLwuGIrQjufuVKG6qICVjz3A2rdexW7r3LPyT3TjAgl8cDwe89r3kNhtDkqz67HbHOg81Zx372jOu3c0rh6tq/IObSl2CtIZrKx4dAcWSznZOS9iNGaSve92BiV9TbXN+fc8K8yZcJ9Tn8PSzUv5Lus7zl51drfvAaCs7HuSU24iOfkGDh9+tkdzdJV9v/xIdVEBhQeT+fD26/v1WgB+RwwZgPHnXdjv1xMEgejo6GZDpiMW+HnwY0UdjmN2RQkhTiVgQSYnTzMUTfn+flxt/7Kr3tipUOv/NwY8M92gWhuBq+FwuxVN0a5qKqx2ZxO0NpRxw3w82FuRQKJvMiaxZam0KFowm0txdx/R7vUtOTmU/vdhFP5+BD3zDLJudlQWBIF3Zr1DQUMB4e7hyISevzAVMoEfEqNYX21gjo8erVwGs590SqfHngOn3dnjuQGGjg9g6PiOu2ifzOz+8Tsytm9h/LmLiR536muHdJctX32GoaqCorRUbFYLZ9/Zth5IT5EkiR9fS6L0cD0anZIrn51EaVY9en9tmyFJjwBX0rY5y8yHTx2EICgQBDmS5MDV6OCiegOCZEcmwQWXvwiAwWJo9/r5KUkYqiqImzKd/2PvrMPjKtP/fZ9xSzJxd2+bNnX3QqFQStHitouzOCyLsyyw6A93KSxSrDgtUHdJ3eLuNpOZyfic3x+TJg2ZaNPC7jf3dfW60pz3Pec9kznnPOeRzyOVde/JazEdQKWMwmavoqz8XVJTu0oyDBZypQqXw6sDpY/o6vXtKxU2Bw8XVBKtVPBgchTybsrQJp93MYGR0fgFhxA3wndbgd9T73Byd245SomEZ9Jj8ZdJ8Xi8OTdHG/L2B6ng9VLIfrfGecH+vFJWxyGzlaw2Cf9RsXpabC5KGi2YgkeSXNV7a4w/K0aXC/+hXJlODBkz/cAWmEZKxfJuK5qOJpw1Ol1EKrvGMrNj9bx92Qhq66o5a5I3J6apaRMejwOns5nw8J7f/hpeeRVnTTXWXbuoMLYQ917/3boyiWzQ8gHi1EquiTlGQyZ5Nty4ZVD2/d9MS0M96z/25hh999wT3PHpd922ffhfRSqT4W7zyCjbjO7qQiObvyogIjmAKeckt3sgnc5m8vOfRCrTkJJ8H1Jp7w81e6uL6gKvF9RmdvLLE79QXO2dd+EDEwiJ8XoIW375heb/fEz8WefgNy4JQacg8fxUJBIJwzKfparmR34xLMSjvpuVWhfhQWmc7XGglqgZGTqSs5LPYnvNdu4d32GMVeYe5svHvYnwe1b+yGVPvdjtOiPCF1JV9TkAY8cs69dn2F/GnXk2rUYDgkTCjIuvHPB+niqqZrvRQr3DSKPTxavDfIcPpTIZw2d27fXWE6+U1bHdaKHJ6eaAycqK4bBr9yWAhzGjP8bPr2893FxOp1cjU6vmsKXDYDnKaH8NCkFgh9HSYcy0JQHvKTeQmDCRsKoPqa0oJDzmODWZTjL7TK1dzneIIWOmX8gjMgmteA9jU73Piqb0tiTgfSZrF2PG7bbT3LyZ0eEQPOxqBEGC0bgbpTIcrbZvehOCUolo877FSIMGtxOw0biL+vrfiIo6H42mQ33Y7nLz26E6MiL9SA7tmkPh8Xg4cOAAMpmMzMzM/0q9g5/rDdQ6XFwcGeTTo9ZfJFKpN+fkZLdzOEk0L/uclu+/J+jqq/GbM9vnmOkXX8G6j94jIDyC6RddAcDGz/NoabBRU2REERRINAABAABJREFUrZMzZr73IVlS8jr1Db/icrVgNh1h7NjPuuzP6Xbydf7XhGpCmRM3B5koEqiR0dyWKFyb34A+NASDVUnOzyXMvSoDqShS9ff7EFtbcdtSkKUGIbhEzMEq/OfFExFxFttqxvLa9j18EJWNTFKG2FpGy5rbePOUN5EIEv417V9d1tJQVowgSBBFD3XFhV22H0tAwBimTfUa+HL5iVVoVag1zPvLjce9H6coomi7js3u40tEF0WR5bsraTQ7uGxyPBLgaJqLTCJQXfMVUokKu6OW7TvO6tQ8t8u6nC00NKzCaQjnu6dfRJBKufDhJ6nTdM0NUkokhCpk1B1TXRqgkZMUomVvuYHp46fBZqg6uPG/zpipsjkZOWTMdGHImOkHgfEjYefRHk2xXSqa4lQKopVyNjSbmB/SufS6pvYbIiPOQSKR4/E4qa//Fa02Ba227xdS6G23ItrtyMLDCbvj9kE5JwCXy8TuPVfidlsoLXuT2bNy27Vt7l9+gC9zvEnDP9wyjRHRnc9r586d/PTTTwBMnjyZ+fPnD9q6TgZrm1q46kAJAB9XNfLr+PTj3qcuMIhTr72FvK0bGbfwnG69MqIo8ml1E+U2BzfEhfXbbezx2CkqfhlRdJKUeBtSaf/Cji6HA1k/S4RdjY3UPPooeDy07txJ+r69SHzsIyAsgrPu7BxSkUgFPG6vcq9M0fGZuD329hCD3VHn87iv732ddw+8i0f0cOfYOzmnYS5TNBIaBCnBMoFDJfso0XkT5z1htTz++Jdkpqczss2gNOgi2N5kBwTm7Kln3cgAVjYYibW6kQrgERW4JW4kQKCq58TZpLET2PrVZ5ibmzizD+Gz/hoxoihS43ASppAj/QNeDu5OjODu3HIm63U8mx7b+4Qe+PVQLXd87u0T9vnOcj65eQplNgdqiYSn0mIw1qVgd3jlFyIizu5xX/v2XYvBuIPyDREoNCmYGhpZetdNZL/2ic/xgXIZTc7OUhnZsd4k4NBFI6glGFvJduCK4zrHk0m5zUG8eqiCyRdDxkw/iE7Jwi0KtJTtJy1lWJeKJkEQWBAawFe1zdyfFOXNI2lDqQxHIpFjdzTQ3LSZsLD5/Y4Ry8PDiX7+uUE9J/CWg7vdHZoboujm6Fcjp7SZ5FAthfUWPt5WypPndM7pqa2tJTAwkObmZrZs2fJfZ8zkWWwoBAGHKLLfbB20/WbNOZWsOaf2OGZtk4k7cssBeL28jpKZfcs7OEpF5SeUlb2LKDpobFzHpIkr+jRPFEV+fOkZcjevZ8Ki85je35DEAD1OM5aks/XbIiKT/cmaFdP++/i4a7FY8vH3y2LYsGd9zi00FJIWmMaRpiN8dPgjzomaxyGhFFQiwdYgJOJuFgesQaes4auDoxEZw+HcXBQTZzL8YAEFcRYk5gbS3RGYqi289/NWDgZpaNH5E6aS0dp4GghusmMSeCjqCkqvuBJ5VBQRjz6CRKGg7MA+zE0NpE+ZgV9QCNe89A4uhwOVrqu38oCplbVNJs6LCCJC2f/KuIcKKnm7ooEROjUrxqZ1yQc50aRoVCwf7buaztXUhGnVKnRTpiCP7l0Dq6ypFaVMgt3lIb/OTKhCzrsjOjy/2sjzkQgKQOzVmDG27EEiUaIKtNN4uBGAkXO7l7Cwuj2d7sHgzZv5fl8VdpebSu0w/Bv/uzpo51lszBlqXeCT/1uB/ONEpdZSJYnEU3fEZ0UTwDUxoTQ73Xxc3dj+O6u1DIkgp6FxLRZzHuHhCweU7HaiUKmiiYw4F0GQkZR4e6echUXZURTWW5BJBO48tavXYtSoUZjNZmQyGddff32X7b5orCxn6V038emDd9NqNAzWaQyIM0P1hCpkqCQCn406udoi1XZne1OL7kpMe8LpbG73xlgs+X2eZ2qoJ3fzegC2f/slDlvfjThZcDARDz+EeuxYYl59xadXBsDc1EhNYX4nQcXQOD8W3jKKcQsSO4Uj1epoxo75hFGj3u5WTPL89PMpNhYTpgnjnLD/x19zDvOzUMmPgfU8HlfELxcEYNA3clWMluejS9gWtg2AaM1klDPvRBJ+hFC5i8D0lQTpmnn5sJZv776OpIpS0sL90MmCsVVdxMyQq2h65TUcZWUYly+n8o47qDxyiC/++Q9+fvV5Pn/M622SKRQ+DZkWl5vFuwt4vKia7M0He2zG2h3/qWpCLZFwwGzlq9rmfs8/kZT95S/UPPgQBXPn4WrufW0LR0UREaDCTylj2bWTumwXBAmRkYuJjDwHoZeChMiIxXg8dmLG6Djlrzdx+k13MO+vNxGplFNtd3QaK4oiDU4XIfLO7+vZsXqcbpFDVS04wkeTYM/D7ersvfkzI2GodUF3DHlm+kmDOgFNDxVNCWoll0QG82RRNfNDAohVKWhq2oxUpiU0ZF6/QwEnA0EQGDbsaTIz/93lQrl1bipntd2QNIquX5e4uDjuuusuBEHos6ppzo/fYLe20lBeyof3/o3r3/hwUM5jIESpFGybNAynKHZ5izvRnBEawIdVjZTZ7Lw9PKHf86OjL6apaSOix0VW1qt9nqf280ep1WJvU8DtqRrHF4FLlhC4ZEm32411tXx4z804rFZGzjuNU/56c7/274tp0dPYsGQDxfU2Frx4tEngcGxjo5G5XcQUfUuhYirFSm9Io1Jbib4hmy0SF6vFcowJs6lND+FaljMy7XPSfn0HgOc/eA7j6y/x8UYZ2bF6/hq4m6rK7e2ihRK1hrqSQgSJBNHjoSr3UI/rrLE7Mbn71gSzO7L81Gw3ev82UwP/PFL1otOJ/fCR9v/bDh5CN61nLalwfxVr7pyFRxSRHef1lZHxBPHx16JSxSCRdHxn07UqNjSbOuUpltocGF3u9jzG9n1E+qGQejtoj0+ehLboJYrzdpM4bPxxre1k8QdKaf7pGTJm+oktMI3kyu+6rWgCeDglijVNLVy+r4gvs1OIirqg17eOPwO+LH5BEEjykfh7LEpl/7xMap0fNpPXoxWZktavuScCmURA5qPx54kmQC5jxbiBn79KGcH4cV/3e55cpeKCh56kMGcbmdNmI5UN7m2g4vABHFavt2ffbysGZMx4HG4EmQThmBCLWqbG6bITo6vkupEfYLQFsKboQkxyLVGGOxlV4qHOPxetxUq9XiQ2+2tqdl7J7iA3DpW36u7fPMjH4rkY1j+GDHhtSiO7t1zGZ2d9xnCVHp67ltA48DT6I1x1KaazBJTVm4lrlVEdvICwpCRsFieqboQVUzRKZgf5sabJxG3x4QN6i35/RCI/1BuYFqgbsILyiUCQywlYtAjjN9+gGjEC7eSunhZfSCQCkgFcX7m5uWzevJmsrCzGjRtHQ+Nqamq+weWchlw+nOHDh3tFLgUB9+8cYJuazUiAiQGdW5IoZVKGRfl7lYAXTMHzi0DDkc3/FcZMpc3RxdM0RAdDn0w/kYdnElb5AS2GRp8VTQB+Mikfj0rivN2FnL07n1eGxTNqKPu8nYmLL8DtcqFQa5i4+II/ejn/JwlLSCIs4cSE1aLSM5EplLgcdtInT+/3fMvuOpq/yEMWoibsxlFIVB23qZExAVw0Zg3rzTZSDZGMrClE9EhpsetxmEq59Vt/RhWYaRmpIG9xI9/5tSBp7Wxsa1ZJkDV6m6GaxqZwhewwxfsuIiL5QYJFNwodxE5v5uCZNuprfsGNBd3ETJRFETRUwKePbeaqf89EFEUqmq1E6dVI24wuiSDwycgkLG4PugHqgAQrZFwR/Qd0nO8DkU8+QcjNNyOPjECQnjidE1EU+eabb7BarZSWlhIW5k9h0c14PA7gJzZtXEJh4QQWLVrkc/7PDUYmBGjbG00eS3asnnV59ej8AymWxuGp2OljD38uPKLIDqOFs8NPrKrzfzNDxkw/CUwYCbuO9miK7lLRdJQMrZqvR6dww6ESFuTkcU54ILfFh5OsUfkc/38JhVrDrMv/8kcvY4gTRGBEFFc+9yotDfXEZI7ofcLvMG+uQh6pxVlppmlZLiFXdGiPCILAytYKiq1OHC06kgQ7oEEna8Ioa+TDU88jfpSBMdWZONf5E6Z0kmtxMW3zGix+Ks5d/x36Ax23vbhaGJ3qBizsKfw70vi72FJmY0JaJHpbDi6DAiHAgiSsGbHIO8clluF2W/n713l8kVPB8Ch/vrt5WrtBIwjCgA2ZPzs2s5Mdmyz4B1cyam7sScvf8IiONkPGiyCI7N69u92YUUkEWt0eNG2hLIPTRUo399rsWD0fbC7B0Oqg3n84IcYDJ/4EjpNDZisT9V0b3w7RwZ8/9vEnIzplJB5RoKV0P2nhfu0VTb5I06pYMTad+5Oi+KKmmTfLBy7xf7Jx1rdi3lqN29J/KfoTicfhoOGNN2l8733E/6LEvcGizmTD5jz5kXPRI9K6pw7rocY+JbUGhEUQOyyLVqODlob+VYnJQ9U42zpla8Z07R1mcIFSkFIQUIDDo6DZo2aMKZH5sZfhjMymKHUGToU/osfEmMYfmVe/iqtM3/Ng7mukGGy424wOU1gwWSWd3+zXlXmwi3I25Dbg3j4Vt0SK7IiC8Nes+Ov2EZC4kYS5T2KzN/HVrgokAhysamFtru+S8v81Nn9dQO6WajZ9WcDWb4q6bC80FHKg4fiNA0EQWLRoEXFxcZxxxhkkxI8gOekuFPIYioumIooqrrnmmvbxI3RqDh5Tjdjq9qDopgpsVKwegL0VRsToccS7SrBaunrY/0xU250+hViH6GDIM9NPVBodFZJwb0XT5I6KpmOTgI9FLhFI1Xjd3BdEDK7Q3YnCY3dR//pePK0uDN8UEP3ktD9NBn3T+x/Q8OqriE4n1t27iXn5pT96SSeNz3eUc89X+9AopKy+cxYRASfPy2feXIXxB+/Dy29OLAGnJvQ6p7akheXP7sLt8jD3ikwyJvdNYl+/KBl5pA55hAZVame3ektLC3PV8/jW9i1BzgAWiJsI8cShVU0BB3yQ42JDxAcYOB+7dRtuVzWZTiuNCMyPLaOoxkJrsw6pxYnNI1ApdfJNzXNotUZemTWDnB2fo7cW00wAgaWJRJU+y4rmVhTT3GT/dQ31tV8THX0JWk00I6KL2VfhVSHOjtVDySbY8CyknQYTr+tyXuVNrZQ1tTI5KRjJYJRbW5th2WVgaYDz3oXwvqnnArjNDqwHG1El65H1o/eZzexEq1fiqGmlrrRzu4ddtbu4auVVeEQP14+6npuyb+rzfn2RkZFBRkZG+/8TEm4gIeEGJkzwCocem6sXIJfR4vJ2S3eLIkVWO0sifd9vE4I1BKjl7CkzcGb6ZGQHPeQf2EzmxD+vrITrf1SAczAZ8swMgHp1EhpjfqeKpp74sraZLJ2asf7/HXkzboMdT+uf0+vhqq1BGuLNJzD9+utx7aussZUL3tzCdR/txGz/c57vsXyRU87Y+EBaHW5u/qRro9ITibPa0v7QM60u79Ockn0NyJTeW8yqpYf7fCyJUobf9OguhgzA8uXLEXeLnFVyFmfXRTOVXcQJFTgReQMbL2BldOs21g1/htLAXNaPn8DqyaeTo1ZxTnQk1WdDq15FRUw862bN5PuAcA7sk7M5L5pL8uxcn1bHtXzKvbyBTvCWHs8P1LD2khROq7uEvYlryUh/DID3rxzPU+dkseGe2QTrlPDdzVC4Gn6+B/JWdlp3eVMrp76wnkve2cY1S3f0+bPokb3LoHw71B+G1/vX/6tx6SEMywuoeXYn7hZ7n+eNPT0Bt8tDTEYgp1+f1WnbtuptaGTee9wbe9/o13r6g1Kp9Fl0cNQ8zLPYsHlE0rW+jTRBEBgVq2dvhYH4zHFYRQXG/D93G5Y0rYrDg6iD9b/IkDEzAGz6FMJsJT1WNB1FFEU2G8zMDvL703g3ekMWqkER71Ut1U74czV7DLz4Ym8ZeEICyb/91v3A/N/grdmwpvtOxa+uKaCssZWVB2tZ8taf+2YGMCI6gJxS7wP22hknVxNHOzYMl8EOMgnht4/p05zI5ADsFq+RmD3Pt5KsKIq8VlbH7UfKqLI5fI45lubmZnRt+i5JqRn8HDyNHyKD+EXYwqc4+Aon51oe4aB/Hb9MjmTH6LnkjJrKF2f/nWKFnO91Co5cNILvJp+OTgigqUmGKBGQNtrJz21CXbCaUqm3zYJU+QmyMA1lGoGfWlvxAE+XNOJpe0sO1ilZMiGO2KC2lxSPC4S2XBl353PZVdaMtS08uCZ3kMLN6sCO48j67l0RRRFHpdnbpRGwl3TfUPP3RCQFcNnjU1h022gUqs6O/SnRU7C5bADcMfaOPu+zz9hNsP1tKNvW47Af6g34SSVM6iHH5KgSsFQmp0SRirzmz91BO1mjoqIP18f/ZYbCTANAFp5JRNWHmIxN3VY0HaXa7qTe4WJcQPcXlslhotBQSFZIFlLJICYOuhzw9V+hZj8sfBES+1ZZIkgEQq8bicfkQBrw5xH3A1CmpJCyelXvA3+8A1qqoGoXhKbBiHO77ksuwebyPmBCdH+u8/TFfadnkhUdQEKIljFxJ7eqQZmkJ+qBiSARkCj69h2NGx7MoruScDulxGXE+ByzvtnMY4VVAHxa3UTN7Owe9zl9+nR++uknkpOTMc9dwF8PexsdptOAosyOFbC41cQRTaVSiyg6QVDikXpVU/3q43my6BycCMxBRoTgpqpNsPDZXCd7xXTGyX4G4BL7fF4WNyGNzSNaXEylENzzCZ/5Aqx9CtLmQ2bnprETE4PxV8losblYMv74WgS0k3UeGErBUg+z+96NWxAEtBMisGytRh6jQz1icCqnRoWO4ruzv8PqtpIWeIzkgNMGpioITPT2LOsjxQ0WXG4PqeFtirc/3AH7vU07uWw5JM/pND5UIaPG5uCLmmZODw1A2UOftezYAF5a5aCi2YoxaCTxtT28GP1JkP2XvAz/UQwZMwMgMGEk7Iaq/D2khUe19y7yRX1bb5DuZM2tLivnf38+leZKRoaM5OMzPh68hRaugkPfeH9eeiY8YuzzVEEiDLoh4zLYsOcbUGUGIdX1nsxWVVWFQqEgJGQAN1upAjxtycvdvLX+bW4qLVYneo2C+xZk+BzzZ0Ihk3DOGN9GwclAourf7aKxcQN55X9FFJ0ERn+Dv39WlzFGV/fJzIX1ZvyUMsL8O3KDxo4dy+jRo5FIJDxTXI1eJsXgcpObHMi0lhZMRjuPimpCj9zNrX6ryMkU0fgb0Vg2Mz18NM4qgaO6y6txMVpioMqtJwGBcr9VPBFSiN44j/CGGYzRV1E5+mNA5Gl+Zmf8RpZEBiHp7qGSMs/7zwcRASpW3zWLaoONEdH+ULoFfrkfYibA/CdgIA1OJVKYeU+PQ1qdrfxW9hvDgoaREtjR0Fa/KBn/2bFI/BSdtHyOl1j/3xlqjlZ4cwY05sO4q70GXx/YUtjIJe9sxSPCPxcN57LJCVB7EMKGQd0h2PNJF2MmU6tmQ7OJMpuDm/27Jo4fy9EO2rvLDUTHjyey9lMaasoJiRgkQ/MEMJQ10zNDYaYBEJ0yCo8oYCw/QFq4H7Ut9m4rmlraXMsB3ZRqFjQXUGn2lnfvaxjkPiEq39Lwg4mzrpWmz3Ox7KzpcZzo8lD/2l6av8qn+vFtiL9Xufode/bs4a233uKVV17h8OG+51u0s+hVSDkFTn8GMhb4HBKiU/L/lozmkbOGo+xPKe3ez+D7W6GpuP/r+j9ETe03aDQJAOzYebbPMfND/DkjNIBUjZLvx3T0A1q+u4K5z61jwhOr2FnS1GmORCJBdLmY8etPiFYrUuCr8EY+8vuRT4SdpEnWESDs4gfHq3xa9i4ONNT7nc7XyjtwFZ6DSuLNERkbuokLJr7ElITtyDNrWBr6PQ6pDauumjR5MxGKOo59hMyou5wgV0cFT7OtGY/Yd7XfEJ2SrJgAb7h55T/AUAbbXoeNz/d5H/3l4c0Pc//G+1n83WION3ZcR4LgfVkZTEPGJ1W7vIYMwM73+jxtbV4dQVrvC8+D3x70/nL8NVB3GIKSfBpFMomABwiSS9ln6jm/JFinJDZIzd5yA1HDpwFQcWBjpzE2pxuPR6TaYmfZ4eou+6gx2/F4jk/tuT8MGTM9M+SZGQBqrR9VkjA8tUdImdhzRZNf20OypZs30GR9MmHqMOqsdcT6DfJbQdxkOP1pqNkHM3vv7jsQmr/Mw1FhonVXHYJSiiYr1Oc4t8mBu6Uj5is63QjS7r9+BQUFhIWFUVdXx7Jly3jkkUf6t7C4iXDpl/2b0xdqD8HytkqVnA/65e0Cr7dp5cqVREZGcuqppyLp5Y3cYXORt72WsHg/wuL71335WESXB+MvpXhanQScnoi0GwXbwcTfbyQ1Nd8AkJL8u+9f0TrYtRRl9sW8O6KrN+Pn/TWMiPbnQGULV32wg/2PeCtNHI4GHI5GXL8dxv+F51gmk+FRaxhzVgm4rBxtKCxKlXyo9aPycBFkeKDt9xqPk7czH+K15hBmaINoXvkIs7UNhE55hYdMOgJMzVy7wkKwczs547JpbIwmMLAaEGltLWL7jjOZO6eQ53Y+xwcHP2BM2BjeP+19JP1V+JYqvGFgAOWJaxy4v2E/cX5xlJnK+K7wOzKDM0/YsXwSkg4KP3CYQNn37+/0lFDeWu81HP9x1Gs6/hoYcY53fz3cO+5IiOCB/EoWh+uZGuj9bEVRxOb0YLQ6abI5abI6CAnRsLK4nsioRAzqi6gpaGa9vrR9Py0OF/4KGX4KKWnBWp7eVoRMIkEC2F0eQrQKKlpsnJYUwsQofb8/mv7Q5HShPcntVv7bGDJmBkidKhG1Ia+9oinvdz2ajhLS1s+o1uGiq5MdNHINny/8nCNNR5gQMWFwFykIPktEBxOP1YVELcNjceFu6r4qQqpXokwKwF5kRJUZhKDs2ROSmprKgQNevYolPfQBOum0NvY+pgdWrlxJY2MjpaWlKBQK5syZ0+P4NR8doSDHq2Fyzl1jiEzRD+i4rbvrMG+sAA+05tQS82T/lXn7S0zM5SiVEchkOoKCjunh43Z6S4rtRjjwFdxxGPyjOs2dnBzMo997+yA9dc5IbLYqDIadHMl9ELfbjM4xET+ZHKXTAU4jeFy4RS0gRyoYENx2ngkOZ7FDxinrPuVI2iTGlLXg75ai1rQyqT6EloJTCfKrwWGIp3T1HcyUfEFKnUB6mQl/WzFuicAu6RxCQ4tJz/C+tVtdSmxWK58d+QylVMmuul38WPQjC5M758gAuD1uPs/7HAGB89PO75wPd8ZzsPpxiB0PE64d9M/+KItSFvHantfQK/XcmH3jCTtOt+hC4do1ULkLMs/s87RpqSH8fOt0XG6REdHHeJjVPeeKtTRaaW2xEmNyc/uGPC6N6ghRK+US1AoZepWMILWCMQmBLN1YzKJhEZSsKkfZnMvIcd1/RlOjfR972eFqNlY0c+u4eGQDCRf2gQ3NJs4K1Z+Qff+v0C9j5vXXX+f111+npKQEgOHDh/PQQw9x+umnU1JSQmJios95n3/+Oeeff77PbVdeeSVLly7t9Lv58+ezYsWK/iztpGPVp5BQvbK9oqm38uyDJivzgn2/mQSrg5ka3XPDtj8rAacnYvihCE1mMLrp0d2OEwSBkL9k4W62IQ1S9VrZNWrUKMLCwlAoFAQH95J4eTKJn+JNJi7bCgue6fd0QRDaXdO9eWUAGirM6MM1GGpbyd1eO2BjxuNwg0QAj3hc/mqzy81eUytj/bWoenlTFASBsDAf2h0eFzgtHf93tHYZcuWUBNLD/dBrFCQFWdi67XTc7o5rzByyjTJ9OpESNyEvP8+qpiPIfihiiuYFBJTUO57ivQI9P8WvJCUvl9m79lAXm4UhOhjdgRs51zaZva1uShxe74in5SCVw6eQXbYZ0eNdW7Srgv3iKOrr45EobZRIdXxXeBr7coaRFqJmX1si9Jhw39Vdn+V+xtM7nsYjethes53nZx0TTooYARd/1uPnNxjcMOoGFiUvIkQdgkI6ANE1mxE+PBuai+H8DyBpVpchFqcFm8tGsLqb6zQk1fuvn2RE9N8TGYSExeMSSK7Xc82BEmalhzKym1Yyarubd38poLbRiitkBOmlH+Fxu5H0s03DhZmR1FrsPLGpkIUZ4YwOHbgH1RdrGluYotf911TD/lH0y5iJiYnhqaeeIjU1FVEUWbp0KYsWLWL37t1kZGRQXd05rvjWW2/xzDPPcPrpp/e439NOO43333+//f/9bVz4RyALzySy+j9YTIZuK5pW1Bu5+XApEQo50/9E3W8HE/WwYNTD+mZsCBIBWXDfS0gjI7uKrK1tauGxgiqmBOr4Z0r0yb/AJVI4r++x/99z2mmn8euvvxIVFcXMmTN7HT98ehSbvizAP0TFlHOSB3xc7dhw7HnNeKwuAi9I73X8jz/+yP79+5k1axaTJnkbCrpFkbN25XPIYiNUIWPPlOFIfXz+rQ4XP+6rZmSMnvQIHyEUuRpO/RdsfQ3nuKuQh6R0GSIIAlNSvG/VtXWbOhkyAKa6YM6fu4k9nmROa7AxY3cEE+xBHDa/S5BUYIqflhC7yBWOS1gYn4sk1A+PUsZZ7oO4XaNwUsdwdSjV/hK2hylotmjZOnoGeSnZ3PfR20wOCyAqYTt/la6i3uImUDOJpfqb+N7vM+TlWl6srmSFTsvkq9cRrfNtxFeYKghRhVBnrePX0uPTROp07k02jPVWolP1fcp5idJF9TqmWw7/4M17AfhwUZewamlLKRf/eDEtjhaemfEMpyWeNvBjDSKnhQQQJJfyc72xW2NmeFQAMonAnnIDo5Im4l/6BmWF+4lLy+738cK1SkZHBVBrcoDvSPuA2G9qJUalIFRx4sPC/+30yye2cOFCFixYQGpqKmlpafzrX/9Cp9OxdetWpFIpERERnf4tX76cCy64oF0XojuUSmWneYGBf/5mWvr4kQBU5u8lLVxHXm1nY2ZFvZG/HCxmRqAf6yakM6aH0uwh+s5D+VVU2p28U9HAu5UN5Dbl8vcNf+eHoh/+6KX1iYiICC677DLmzp3bJ0Mse14cVz8zjYsfndRF16M/SFQyQq4aQdiN2ch7UXxtbm5mx44d2Gw2VqxY0e5JqrI7OWTx6ojUO1zd5oHd8+U+7v5yH/P/33r2V3STUzTpeh6ZcA5jC9/nmR2+PVyiKLLju6/Y+fkePFbvPSE4eBYRCW8w63AFLaKabEkhS6q+QyKCRQpulBhcTqodbn5ucbHC6ELqjMao8iPLlodcKlIsqUNOGDJBYMyvj7Pom8cQwkai8rhp0Adx5y33kvTGGwTEJhPmqWM4+URFx3MKanJ2TaKwNoYQj4dLkxaRrPcamKLTScXtt1Mw7xTMG7whqXNSz8HtcTGyJYBvZv/H5zlW5+fy3XNPcHBdH+QG8Boynz66jW9f2M2Prx1/wcDy/OVc9tNlrCjuxhMecIyh5sOzs7psNY42rZu719993Os5it1u58CBAxiNnb8/Fpcbq7v3pFupIDBZr2OLoXuPuUouJSPSjz3lBuKyvGHX2sObB7Teb/JrqTc7OC1p8BqEOjwequxOUrVD/fz6woADfG63m88++wyLxcLkyZO7bM/JyWHPnj2d+md0x9q1awkLCyM9PZ0bbriBxsae8xLsdjstLS2d/p1solK8xoyxbH+XiqZSq50bD5cyPySAt4Yn+OzcOsTAUEuF9ptZkFzG3zf8nR+LfuS+DfexperPL3w3ENR+CqQnMflPpVIhk3X9zkYp5aS33Vj1Min+3VSA7aswkhDsfRv+apdv2YImWxNf5X+FiMiHhz6krrVrb6PS/XtY//H7HNmwiX0fRjBu7FeMGvkOw5NOwS8wFH/BW7GyV5/F5kwVdXJwOgswGd5nr6kSnUrADVxp8np6022HGJH1G+4JL/KT/2+sLXyHCj8VSVXl/G3FJyQGBpChVbF1Uia1RQV8tk1CiUWPc9q9tAy7iW3fFdHQpGSF4R7Es16Ds15uX6tl6zZMP6/AWVFB+V//CkBqYCqfN5zPA6824jh1Cc7Krk1pf3rlWfK3b2bFay9QfrB346S2uAWn3WtElh7oPX+rzGqnsNXmc5vZYeaxLY+xp34Pd6+/G6Pdh+GZOBPOfh1m3A135XfZPDx4ODa3d/+zYmf1up6+8vnnn/Pll1/ywgsvYDJ5XxS3GcyM2HSQ4ZsOsL+gEePKEly/6/slEcDTphs0Uqchr5tzP8qoGD17yw0EBIVSLkThKR+YOnNKoJZtFc00tA6esN2aJhOzg05ccvj/Gv2+Q+7fvx+dTodSqeT6669n+fLlDBs2rMu4d999l8zMTKZM6Vlm+7TTTuPDDz9k1apV/Pvf/2bdunWcfvrpuN3d6088+eSTBAQEtP+LjT352gBaPz1VQhjumkOkhHVUNAHclVtOkFzKixlxyE5w6aPlJMvwuxwODq1fTW1RwUk97lGez4jjlBB//pUazTnhgZidZtRtOjL11v+eRp5/ZtRqNRdddBHjx4/nhhtuaM/tkQoCP4xJ5fNRyezuJsQEcMG4GEoaWwnRKbjj1DSfY3RyHYHKDg+sn6LrTdvU3Nzp/37qLJx2J8uWLcNksuBS6AH4eteNXLrvQ7bJqzDp9uGRgzZWisHuYlP813yR+RYz3fWMSrLg71eHsSUcVexO4tw6Equ9gn0Zp85g1fgMfvYLRfHsbho/OIxNEshXudF89GMZEpm0Qy8fYPTF7dowZoeZZ/Je93me5pW/oGzrL1T33HOIHhFrbhOOam9ejtNub8/RsFl6zrsDiEwJQKnxGpppE8N7HLvDaGHKtsNM3XaEj6oafA/q7fYkCJB9Mcx5ANT6LpsnRE7gvfnv8ezMZ3lx9ou9rr+vlJWVoVB4PUF5eXkALKtpIkIpo9Xt4ZTyckxryql5dmcnmQeZRIKzzZMYrJDR7HTj7qGvUXasnoJ6Myabkxr/EQQaBtYkc0SIjswwPwKVg/PiWmFzEK6QozhBCcX/i/T7k09PT2fPnj0YjUa+/PJLrrjiCtatW9fJoLFarXzyySc8+OCDve7v2EqVrKwsRo4cSXJyMmvXrmXu3Lk+59x3333ccUeHXHZLS8sfYtDUqxJQGws6VTShV7Kh2cx7IxLQ9Ue7ZADc9/V+Pt1exrljYnjuglEn9FhHWbP0Lfb95nVJn//gv4gb0ffjOu1uDm6oxD9ETVJ23wLLbred8ooPkEl1REdfxHCdmndHdCSa3zXuLl7c9SIzYmawMKlrRcn/dQoLC9m8eTPDhw9nzJi+tSEASE5OJjm5a46On0zKjF7eFm+ek8o5Y2II1im61e9RSBW8ferb/Fr6KwuSFrQbpEdpaWnhp83bEP0C0UrgjLNvpOrRLeRr6zjiPEKWGMAwt9egVnvsPGT/gGJpIq2RybgDQyjwHMGd2ILMtBZ3IOwacYh7DJewvcZOadFYQIIjU8P08p1IA8LRn3MOJpMJw2+FyLUy/Ov0pHpG00gFccNHogtUMueyDIp21zP61LhOIcKfin/iO/khjKdJSKkWufa5jvwYzYQJNH/sFcIMuuYaTGvKafnVW/4bfMUw5lx1HZs//5iU8ZNIndB7fyVtgJKLH5mEqdFGWELPf4dfG4z4y6Q0Od3cnVvBZVGdQyA6hY7HpjzG1/lfc3HmxQQoB6ZLNT5i/IDm9cSIESPYvXs3KpWKrCxvHegwnZpPq72aQ5cXH1M5KYoctcrkUgGXW0QpA5VEQATsHhGN1LfVlh2rRxRhf4URaeQYEg6vwm5rRanqXx89p8tNrcneH4HjHjlotjI/5MTrhP0v0W9jRqFQkJLiTdgbO3YsO3bs4MUXX+TNN99sH/Pll1/S2trK5Zdf3u8FJSUlERISQkFBQbfGTHeNxk421oBU4mp/61TRtFEnkqBWcNoJ/iJa7C4+3V4GeF3510xLZFjU4GbR+6KmMJ/wpFRqi/LZ9fN3/TJmtiwv5OD6SjwekRlL0sia1buabWnp65SUvokoOjCbD5OR8Xin7fMT5jM/4fi63YoeEQS6z2FpKoY1//J2JZ56W78k2f9IRFHk66+/xmKxUFhYSFhYGDExJ0dBOErvOy/Hum8fxh9+IGDhWaRnjSA9yHcycklJCVa7HWKSsQHaSjVEgbSyBlEh8h2nUEY0p7IOCbAnJpJaIZz48lwAVI3VjPx1Cxc2ej28V9whpbkumbXuA0RKHajcKirkrUj1ATjLy1l37XVsHJmFKIosdk0iGC2atBBmzf8LY04/C4DMKVFkTumaTKuT63CJLlaNlrBqNNwc05FnEn7f39FOm4oyORlFXBzmrftRxPnhKDNh/LGYtLumkjaxf5WMGn8FGv/eK5OmBvrxUpk3fHdngm8vzsLkhT7Lyv9oFi5cyKRJkwgKCkIu9ya/Xh0dgl4mRSURmFxXi1Wox39uHIKsw3shlXiNGYBmpxu1REDTQ4g2OVSHTiljd7mBU9KmoDjiJvfAVtLH9SyZ8HvuW5fH/VNT+lSh2BtmlxvNkEem3xz3J+bxeLDbO+uLvPvuu5x11lmEhvY/rbuiooLGxkaflSx/NiThmUSJtbSajaSGeZOA1zS1sDgssHvJ80FCLZcSfcwDI7qbh8dgM2LWPGqL8lGo1Zx67S39mmuotRAS6w3JHdnirXwTRZHG996n6t57cZR37cZss1WiUnm/CzW13x3n6rtSkdvMO3du4LN/bsdq7ibe/fO9ULAKfnsENjw36Gs4kRyrUNpT6PZkIDoclP/1Wpo//IiS88/H7SPXzdxso7nGQkxMTHvejl1v5zTFVXxj+okETxhjYkdijVTy5jApH48MYvvoAL5JmsLuxHRWZYylTCZH1lxPXKMTT9tleN3aCyh21FCvKaRWVcsh/SEWaeW4Grzhl/JhmUREeJuq/qjMIfDCdEbffC5jzzgbQSLBUVFJxW23U/f8C4i/+xznJ8znhlE3cF7aeay7cF2nbYJMht/s2Sji4gDQZIXiKPOGo4Mu8S1gl5+fzyeffMLBgwcH+El7mRnkx6/j0vhhTCp3J574++mKAzUsenUT72wo6n1wL0gkEsLDw9sNGQCJIHBeRBBnhgUSfGEG0f+ahv+8+E7z5NKOMFO5zUF4N21kOo4jMDImgL3lBuKHjcchymjO39rv9eoUckxONxsqvKFRZy9Jyp8equL57SXsrumap7TZYGbK/2j164mkX56Z++67j9NPP524uDhMJhOffPIJa9euZeXKjnb3BQUFrF+/np9++snnPjIyMnjyySdZvHgxZrOZRx99lHPPPZeIiAgKCwu55557SElJYf7843vbPhno47NgL1QW7CM1PJTPdpbTlKxkiv7EfxElEoGP/zKRnw5UM394BAGak1O6N/q0haRMmIxK54dc0T/vWNbsWFa+fQB9uIYzb/F6dKw7d1L39NMANP6wkuo7PsblcDPz4nS0AUpiYi6joXEdanU8Y0Z3rgg5UtPCW+uLmJkWyqLs7jVuemLvqnL8glQ0Vpr59oXdLHlwYtdBzlZvawhrk7d55QlG9HgwrVqFLDAQzbhxA96PIAgsXLiQjRs3MmLECOLj43ufdALx2O24j6lOcbeYkPp3eBMbKkx8+VQObpeHKeekcMMNN7CzeCd3HbgLgFciPyWwfBL1O/RkXJdC7X/WsUkSi10poGpsRn9qE4Vh0WTWl2NXKPFEZCCpOYJHkOHQTsBmUvBsUz4XRntzU26WV7L80kuRBviTnJbGqtWrATjtjNPRjm7r7SOKIAjUPfssrTt3YlqxAo/ZTMRDHSF0qUTaZ0E67YQIFEkBSNQynyrMHo+Hr776CpvNRl5eHhEREcels5TVTVnyYCOKIn//eh+GVid7yw2MitUzPqGriOhg4qssXSII7QnAWw1mxvehijQ7Vs+XORUolGry5MnIqnP6vZaLhkewobQRlULGHb8eJlSrQNOmQ+T0iEyI1DMjNhBRFPmxwOst+9u4OH4uaWTN9hKsDhchGgVLhkciFYRu89GG6J5+GTN1dXVcfvnlVFdXExAQwMiRI1m5ciWnnHJK+5j33nuPmJgYTj31VJ/7yM3NbS+3k0ql7Nu3j6VLl2IwGIiKiuLUU0/ln//8558ijNQbUSneB7KhdD9p8YtoNDnA6SGtm1I60SPS8kspzhoLAQsSkYcd340mIUTLjbO6anQcL8XFxdTV1ZGdne3z7+AX1Pfyw2pzNQHKADRyDYkjQ/jr8zOQSAUEiUDxnhyKVq0gSCZF5XJTFTmNkj31uJweivc2cNMbc/D3H8nIsRtZtqMcSZWSSUkd+7592V4OV7fw9a5KgrVKpqX2vyzSL1hF+SFvHD55TDfN6eY86O3CPXIJnP7vfh+jvzS9/wF1z3jLlSMeeYTAJRcOeF/Dhg3zmaA/WLQ6W7G5bQSpen9wSf38CP7rX2j6z8cEXXE5ipjOBmjpgUaOdgXY/HUBo0+dw0jlSGSHZLhEF2GmOOrbnCIhO62kNwTjsdkxAnKcXLXs/2GePZGt0g1sm16LPvVcZhYtpkkTTbRHQpjiC/bIAlHbRa7/yYPK0UzgzW7ko8czNTyL4JAQtFpth9H368Ow5VUY/xdEux2JSoUbcBsMx/WZ9VQaL4oiLldHUv+xPx+LxVJIc/MWwsIWoFAMvtEgOhzYjhxBmZGBRNE3sb1jix1OdOFDt2uQCrhFkVq7k/1mK1fH9H5PyI7V89raQmpabBgCs4hq6H95dnqQjvQg70vsnLggAlWdDdVlR6p5equ3HcK4mADOjPImvy9MCoUkbwSjttXOp4eqUSBANwKrQ3SPIIo9pHr/l9DS0kJAQABGoxF//5P7Jah5JIXiyNMJWPgvFry0AfuEEMrOnoDcx8Vsy2um4b2ObPmYp068pHx/qa2t5fXXvZUZSqWS++67b8D7+vTIpzyx7QkkgoSV564kQhvRvs1YV8O7f7sWsa1R3+JWgfrF97I9x4rE7X2juekNb9z6+o9yWHHQ28jyP9dMbDdapjy5CqPVicXh5ulzR3LB+P4ngTtsLvatrkAXpCR9YsSfQmWz4tbbcJSVYT98GEGlImPP7j96ST4pbynnop8uwmg3DopgWk2Rka+fyUEUIWt2DDMu9FZCbanawo7qHYR8n4TFoMFhA7d9DXJ5Ma1GA0qVGpVWS8FsLT+2ru+0z58Pv4aIiIDAVmELdwlJXNL0DBdsbEHRZidkLqmC6zdCxDENRxwWeCKao3LJ9tM/pfr5D5HHxxH5+ON9fsAPhN27d7NlyxbGjBnTLlh4LC6XiU2bZ+ByecN0c2YXDOr3VhRFyq66mtatW5GGhJC6ZjWCvHfP7/q8et7eUMQZWZEsmRA3oGO3mA6wd+9fkcn8GTP6Q5TKniu2fk9BnRmlTIJTJWXKtsP8Z2RSt8rrR6lrsTHhiVW8fskYQou/ZdyuezHekkdAcP+OPRjUm+xUGayMitWf9GP/UQzW83soy+g4qVMloDbmkxSqRRBAYu6+VFr0nHi7sTo/l5qCvAHPb2joKOH8fS5Uf/mh8AdGhY7CI3p4cFPnyjZTY0O7IQOQ+8RbvCqpoiBwF0VBe1k69gFWvnMAURQpqDeTGOJ1F6842KEyfd+CTPQaBZdOiuP8cV0TW0VR7LWrrUIlY9yCBDImRZ5wQ6bGUsN7B94jr7nnv0/AwjOx53oTWRM+/aTHsW5RpNru4I94J1ldvhqr06vzMRiCaRFJAVz4wAQW3zma6Rd45e/t9jpiPUVcb3dwMZdwod/1yIVWMiadSlB0DDHh0UzfeYipq7exx3GIGJ33e6CxSZm+JwSrvBUCvNdkI1nopU4mNJ6C3HPUKd32ueX9TjROpgJdh6dOOWIiCcs+I/rpp9sNmYaGNWzYOJm9+67F4xk8fZHRo0dz4403+jRkAGy2qnZDBnpIXO8JW0tbFVBXPGYzrVu9eSPuhgbsBX2TYZiRFspH10xkyYQ43KLIpmYT9Q5nv5ZVUb4UqVRFa2sBW7f1rBzvC6lEwCOKJKoVhMhl5Bgtvc4J81cRFaBiT7mB8GHeZOzS/Rt7mXViOFTdQlb0UBXTQBgyZo6T1oAUQq1FqORSQvUqBIsTQzeuYVVaINpJkSgS/Am7ZXSv+/Z4xH49pPK3beaTB+7k4/vvIOfHb/s871iSk5MJCfF6Ps4+++wB7eMoWaFZ7K3fC8BVI67qtC0qLZOE7LFI5XImX30Lf/tsNxsKraxK+Zhf0t/DqjBRtauO/FXlXDU1gdJGC1nRATxwRkfIZOGoKDb9fQ6Pn53V5YZuMpl4+eWX+fe//93eS+yP5uZVN/NCzguc+925VJurux3nN28eKWvXkLZ9G6rM7rsce0SR8/YUMHrzIW4/Un7SDZphwcNwtD3Ep0VPG5R9BkfriEoNRBAERFFk957Lyc17CPumJ3Drk/GX1nKq9AFiXriWxVdcT/bWPajU3nBtxt5mKsxekb6zq0YyzBTBjvIfcZrcGIP384GylmCnnjHxs1DETkIWPY7Us2shchRMubXTOqyiwFNTX+WH1CuovfI30HbNWykufgmpVENDwyry8v81KOffF7TaFAICvLlUMTGXdfm7uz1u7lh7BzOXzWRlycquO1h5PzwVC8su9WnQSHQ6VMOHt/9fkZTUZUxv3JdXwbl7CsnadJByW98NPaUqErvd64UNC/WdN+l2t7J//83k7LqI1tbiTtukgoDbIyIIAskaZZ+PPSpWz55yAzFJwzGixVK0rc9rHkycLg+SPyhE99/OkDTtcSINzySy5jOsFhPJYTqqG0zkWWw+e2kIEoHAs7vmuBiNRr7++mukUinnnnsuWq2W3G01rPnoCGEJfpx1azYyee+aNWUH9+IfGkZLfR1rP3ybsWcs6vf5qFQqbrzxRpxO53HnLd059k6yQ7OJ948nM7jzQ1kilXLuDX9B/O1hWt2bcLvHI7pDsFVeRHp4Fen1s5nrJ0PyWymLFiWz+NH5qGTSPl/oR6XQ3W43H3zwAY888shxncvxIooihcZCJIIEj+jhUNMhInXdV5jIw7rJ3zmGIqudLQbvm+dnNU08lxHLiVU26sz4iPG8e+q7NNoaOTXed45cd7icbtb85wjmJjuzLkknMKJroqbH48Bi8arOmrUy/OoKAbgpeiLG6w7xl2UPMhmvJwHgkbNeYnG8SEpgCrve+pDapgKq64rY7beRX0JG09AsxYmHH2QCC0d7ZSNkD73IxsaDfL7+LhalLGJunFcO4ouaJl6xh+KKuhqKoSah6zkoFCGYLV4vm7/fiH6d//EgCFLGjvkEh6MJpbJrxejuut3tvaDuWndXZ+kCjxu2tgn8HfkBCn6D1FM6zRcEgbgP3qd1xw4048YhGcB9YHVTC/EqBaU2B++U1/Noat8S9BPib0QiKJDJ/IiJucznmOqab6hv+A1RdLJl6zzmzils3yaRgKetNDtILqPR2TdR0exYPS+uyseDQKkqE039nj7NG0ysDjfSIUNmwAx5Zo4Tv7gRSASRyoJ9ZEcGIDW72h8wfWXr1q3U19dTVFTEq6++CsDuX8rwC1ZRXWBk4xd9c/Mmj5uEqS1MdOZt93Y7zuFo4ODBO8nL+yceT9dQkkQiGZQEbFGUciAvka+2iL6Vin97GKF4PdrtL/JNwnJClG6S/dLISb6GTyYl8VZ6m7Lviu2UFf+Tmpqv+nzsoKCg9lLk31eDWA82UPPsTpq/LThp3gxBELgs8zI8ooeZMTOZE9s/HQtfRCrlBB1j5P4Rt8EJkRM4PfF0pJL+mVEFO+vI315LVb6BTx7x/RYslSoJDT+HcmKpGDuHfSPu52zHg5RGbMcYZOC5iD3U6LzfK83kyeinzWBm7EyiddHET1PgEiqIzgrnrDv/wQFjIKKfNzH/Mz+RNVFyGq4dhlPlx90b7mFN+RpuW3MbVea+V6ulpz9GVNT5DMt8mqio8/t1/seLIEh9GjJAz8nYEimEHKPKHD7c5zCpnx9+c+Z0qjY7luLdO/nw3r+x/pMPfF5Dc4P8KW3zivw1tu8SHVKpisTEm4mNvQJB8P14kggKRNG3zIBMIuFoVbQHEUkfr4pRsXpaHW7y60xYQrOJsx5G7CVEPdisPlLHjLRB7FL5f4whz8xxEpWSDYChdB8ZcWeB3c3yigbuSAjvs9aMXC5vr1oICPDGS/1DVBTv9RomccP6Vq2QMHI0V7/4FoIAAWER3Y4rLn6Fhsa1uFwGWq3FZI8aeBfonvhsRxlvrCvE5RFZeaiGDff87gHutIFCC5Z6QvYV8s+i13h/wXn4t5pp0eh4J1HO9Xk2qqctw169j8rK/wAeoqIu6PXYaWlp7eX/EyZM6LTN8FMxHosTy5Zq5OFadJNOjqbRHePu4NqR16KVawclP0crlfLjmDTWN5s4I1R/wrWNBhOJTOguZaMTz7lvYKVwCUmigncmhXFozyZvtUcbgrkV7exZxL7YIaXvdttpsLxF6tkuoID61hJKIhXI9lkQA+SUjg/mbqkApeWUxQ/D7u4w6I/+fH5EELtNrTQ6XDyZ5ltoUKWKJD3tka4bdrwDa5+CEefB6U912nSo8RCv7H6FMeFjuGbENYOWpyWKItu+XkZTVQXTLrqcZ2Y8Q05tDleOuLLr4Eu+gANfQdp88B9YR+3VH7yJubmJ+pIigiKjGTG7s3fnibQYFocHkqJREaIYvMeMx+NBFMcTGXkJHo+B1JR/dNoukYCrzQhpcrhJ1PQtUTsrOgCJAHvKDGQmjiew/B2qSvOISswYtLX3xNaiRsbGBw55Zo6DIWPmOPHXB1NLMM6aw6SOuwSAonoLa5pMzO1jed2UKVOwWCxIpVLmzZsHwOxLMwiJrSQs3o+ELG8Oy8ultTxfUssFEYH8O9135Y4+vKsR47G5EGSSdqVMj8eOVKrC5fJ6aXrC4xH5clcFoihy/thYn2GeXIuNHKOFhWF6/I6Rrze0OlHLpZjsLsqb2hrC2Yzw60PeDrzT7kBccS82MR3jZ/tJAB597TlOefUjACa7BK6YqOEiaRPDlGFYrWWYzId6XO9RBEFg1Cjf6sQSpRR3o7cBnbQPSqrHUtHcyh2f70WrkPL/Lhzdb30fnWJwNYgSNUoSNX+cjIHodoMgIPRTsTR5TBh1JSbMTTamnp/qc0yr28PKRm+ia5HVwSerf2GBpIyS2umogw8xd6OR0BYTljVrEY6pLhIEKTKZH06nV8BMrfBHGWmnNURJQnUl1W4HSJWka1WYPRLS0p+nqHEHt8RHkRjgbZWhlkp4IWNgFTn8+jA4zLDtdUiZ2ymM8/jWxykwFLChcgP+Cn8uSO/dMO8LxXt2sulzrw7T4Y1ruXPZD91Xl+ljYdptx3U8mUKJuy25V6ntGiKUCgKTToDe1k8//cTOnTsBuOeeJ1AqO8tbSAUBj8ebGJ/XamN2cN8aNWqVMtLC/dhbYeDUadNhPVQd2nBSjBlDqwOn20NEwFB37ONhyJgZBGpVCagM3oomiQBJbgkP5VcyRa9D3YduxyqVioULFyJ6PFTlHUEfEYlWH8iEMzt6ELlFkWeKa3CIIkurGlkYpmdaYO8XqvVgA40fH0GikhJ26xhkAUri46+n1VqCv18Ww4Y90+P8ZTvL+cfy/YgirM9v4NWLO/f3aXS4OCMnD7Pbwx255dTMzm7ftmRCLGtz67A5Pby4ZAQ7anYw7MAPaPd/CQ4zDYc3MLHxIS6R13IR+9vnvSpcw0rxdL6WLQG9FP/oG/HUP01oyCld3sQGQtAF6bSsLUeVokc9rH+CZG+uK6K4wUK9yc7CVzay/p7Zx72eP5Kf9lfz2Y5yLp4Qx2kjuvfm+cJ26BBl1/wFQaEg/sOlKPohyieVSpjWjRFzFLVEIEunZr/ZawiLJYXoJW6ybYFMc19H4L6XARNB11wNgMViQa1WI5HIGJn1BlXVXxARvohATSTvDtdS+/jjjPr5ezxKJWve+w9XxgTxaFE1ObYgTKpTOCzzvjSIopua2u+RywIICRnA31cb4jVmoIvnw+VxoZAqsLqs2Fw9d3TuD05b95WHe8oNyKUCw6MGViXjsblo/jIPj8ND4LmpyAKUzL/ub2xd/jkJI0f3qafUYHH48GF0Oh1ms5kdO3Ywc+bMTtulEq/OzGGzFaPLzeR+GFTZsXp2lxkIChtJlRCOq2wn8NdBPoOubC5s5PR+XntDdGXImBkEWgNSialb196jKVuq5DOrnS9qmrg82rdok8fjJufHb3FYW5mw6DzkShUbPl3Kju+8eSFXvfAGQVExuN02TKYD+PmNIFwpb8/Oj1X1zaNg2V6DPEqLs8JM/Rt7ibx3AhpNPGPHfNqn+UX1ZkJ1SupMdn7cV82rF/9uu9WOuRvp7jA/FV/dMAVXdTW37Ps7m6q8YlTbZSrUDjMyUwV6tZz/mEOYMH4U/iWHOXjGcORFbhZE/0isspxZY95ksj4b0npOZq62O3ijrJ7R/hrODg/scaw8QkvwkoG9cakVUmxOb7z+v/1Nyupwc/uyPdhdHtbn1bPzgXmE6Pru5Wn+/HMkGg3OykoK559G5pHDg7o+QRD4PDuZtU0mpgXqWN9UyP79+9EoAjiyJxBh4sMsPFNJ2BlT2LBhA6tWrSIkJITrrrsOvX4cdfZ0vjxQx8JRVmYH+5O3dSOEhEBDA3MvX0K5203da0sJ0/hhstrZa2oFoKzsHQoKvarUyUl3kZBwQ/8WfsFH3lBT5sIuOSn3TriX53c+z5iUMVw2zHeC60BIHjeR9CkzaKqq6NRm5Pu9VdzyqVen6Klzsgak/2LZXoMttxnR6aHmye3EPDWdiJQ0zr77gUFbf2+ILg8tq8uIVoWS11gC4NPzKpF4q5n2tnj/lsO6ETD1xahYPZ/vLKfV4aJaNwx9075BWXtvqOXSP4W+1X87QwnAg4AkLINITw22VjOpYToqGy2I0GOs+NC61az/+H22fvUZH917K263laJdOwiNSwBgy5efIooiu3ZfQs6uC9m8ZTZLR8RxbUwo345OIV7dt4eOPFKHs9L7lug3q/+icueNjcXp9qDXyPnxb13Lb0f6qRmu894wro3pmrxW+be/UTBnLjOf39BeBrozOBqCU7gz8CVOsa3ggOoaXpmbzyNXBVNrS6OiIpOd287lpnH3tr9ZlZS+yY6d59HQsMbnOu86UsF7lQ1cf6iUr2ub+32efeXGWcmcNjyCK6ck8OHVE3qfMIiIokhj43oMxv7LrfvCI4p4jklc8fRTB0kRG4ezthaAgMWLB2VNvydQLmNxeCChCjmLFy/mlltuIdoxkeAo7/cir8Fbxr1z5078/f1paGhg3bp1WB1uLnhzC0/8dITJT67G5fagHjsGd1uCvFSvB2DxU49iq7cSX9rKM7He3CmT+TBarddrVFj0bP8XHTkSznqpS5UQwNjwsXx8xsfcOe7OQX2AyeRyzrz1Hi7/90tEJHd4vDbmN7RrNP396/3dTe8ZidCR5NuHnI6aIiN7V5Vjb+2fxkxPmLdVY1pXwdTKRE7XTOCOO+5A3/Y3PBap4NWZmRnkhwD8UN+191F3ZMfq8bR10HZGjCHBkY/TcXxaW31hyI4ZHIY8M4OAf+wIpPtFSgoPkBqu55Md5ZCiJlXT/VuBp8DK6NC57DPvQZ20i7XrRuAXO5WSLV5p/UnnLsHhaKClZQ8ADkcdSfIWHutjiWP72ubFIQtWIQ1Qokrr2WPhi/QIP7bfPw9RBIWsq+2rlEhYMTadeoeTqN95i9xGI6ZffwMgu1gksgmqg2Gsww2NBfxLvAOtRopcUKNxmnG7Oq/P338kAFZrGYVtb8p79/2lUynmUeocTqKUckptDnKMFs7pxTszUPQaBc+c3/dO4YNJZdWn5OZ6xQfT0h4htpvS1b6iVcr456IRfLytjMsmxxPm3z9PU9DllyHI5QhKJfrzzzuutRzFLYq8XV6Pxe3hxriwTmFaiURCcHAwaeMj2f69V19k8uJkAMLDw8nL85ZJDxs2jHqTHcMxD1OXRyT6mWcwr1uHq9lA7aOPApB2yikYt9Tg8ogsOLKekrsziLPGkmNegUSqZsL47xBFkfc3lXC4uoVb56USE3hy+h21r72hAY/ZjCIhod9z5w0LZ9lObwPXNy4d0+NYq9VKbW0tsbGxSKUduW/aCRG4alvxONzoF/asOdPSYGX5c7vwuEU2fpHfruJ9vHgsTgSFFKlVJLrJr1ulWGmbZyZBrWRusD/Lapq4JKpvoeTUMB1quZS9FQZmpExClf8cBYd3kDJqcDSUhjixDBkzg0BkqlcAr7lkL2mxZ9Js9vZo0vl4+AM4Ks0EFgayJ1CHMSSWEcM3ABCQtYmk0c/ygzyBtVIt5yj06LTpmC25gIBC0f+yPUEmQTvedzzWXlSMZdMm/E+bj6ybDudWq5WlS5diNBq54IILSExM7DJGLhG6GDLgFd+Sx8bibOuGXZR0Bxa/DH7Ke5GF7iNYWgXC4gKQNBfyz3oFb2dNRCvR4mpysXDhwmP21HvZ7+0J4dyVW87cIH8eThlYhQZ4vR/2I0eQR0UhDfhzKXEajTlotalYLPnk5R2/MQOwZELcgKXnBbmcoMsHL1QCsKymiccKq/AAP9YbWD2hazhw3IIEUsaGodUrUai8t7DFixezf/9+YmNjiYyMRBRF5mWG8dvhOq6ZlohKLgW5Gv/TvEmxysQERLebzVZw/WYAIJJGeGM6/k4LsyJH4vnLL0ilarYWNfLYD97E8y9yKih56oxBPeeesBcWUnz+BYitrYTdfTfBbflBfeWUYeGsunMmUonAzxYLTxRWcbbEQXNVJaNHj0aj8RpmTqeTt956i+bmZkJCQrjpppvaPUcShZTAc3vObzqKsc7arvMymOgmRmLLbQa3SPBl3QtJHjVmAOYE+fFwQRWtbg+aPuQuyqQSsmIC2FNu4PLFU3D9JKExd8sJNWYqDdZ+hXaH6J4hY2YQCAgMoY4gb0XT2IsAEMxOtFLfD2Fzi43LJmnI9R/DKblyxtp0qNVmEOBhaTJ1dg8/Hi5DIzZxythlGAw70esnIJH0XDkjekQKd9ej8VcQlarvcazHaqX0kktwNzdT+69/kXHwAIKP9R46dIja2lpEUWTp0qX9Ep8TpFLiP/oQ89p1/L+4NIIFJWabg5sz7sO2tYZamx/+tTauvmQ+w1Pm8ne/EXz88cdotVpiYjrKYdXqaNLSHqGh/lfiu8lfWBCqZ0Foz+fcF+pfeonG198AIGX1KuRRAzeMBpvwsDOoqfkOgDFjPvuDV3NiqLE70ckktLg8HLL4TpAVBKGLyJ5are5Ugi8IAm9fPo4Wm4sAdcd1s2/fPpqbm5k0aRIKhYLS2/5BmhhPkSqCi+wrQOXViBKq9yGVenWOWqyDFy7pL+YNG8DpPX7dM8/025gBSA7V8XVtM48WejV03rHbuHzrr/z666/t13NjYyPNzd7wbENDw4BDYJEpAYTG+VFfZmL6hX0zgPqCNEBJ+DGq6aIo4qq3IvVTIFF3PMaOKgADTAjQ4hRFDpqtfeqeDd5Q04/7qlFpdBTIEpFUDU5Itzv2Vxj7nXg/hG+GcmYGiVplPKrmvE49mrTdvA3sDJJxJECKKEj4JWMUB/bPJSrqRsbFfMuIOld7bslt6/7O6/s/ICRkNjJZ7xdjzspSVr59gOXP7eLQpp7Fv1x1dbibO3JLRLdvEaqAgID2ePlAhPTkEREELrmQiamJ7SJaqr311Nq8lVgtThUN6ddA6jy2b9+OVCqlqamJF4/RDQGIjbmM0aM/JChwcr/X8HtK9uSw9sN3MNTWdNlm+uVXlKnem3D979bwe8ptDpr7qDB6lKamJhyOgfXxCQmZw9Qp65k+bRuB+vED2sefnSURQUQoFMSo5KwZn35c+xIEoZMhU1RUxNdff82aNWt44YUXMNZZaTUGML/2B24ofYeZc88EXVtzwbEd7TdmpYdxRlYkGeESPrkykU2bNrFmzZoB/x37g2bMmPZrM6Af7UVElwfR2ZGYX2d3om7Ld2lVdg0nBgcHt+eg6PX6AYtJyhRSzv/7OP76wgxGzu5/jl5fMa2roPb5HKoe3YKrqcPolUiEo922iFB6vcX96Q+VHaun0mClzmSjUZ9FaMuB3icNAJvTzcqDNQyPGuqOPVgMeWYGCUtAKtH1G1HJpQT6K2myuJB283YTKWtCwIPC4eTht19keksjYWMvxrS6madF+DVWwuNRP6Kw5/LWvlxuSV0Cut5DTHUlLe1vRVu+LmTY1O69CvK4OLRTpmDZvBn9kgu77QKcnJzMokWLMBgMTJ7csyHR0rKP3LzH0GlTSUt7jFfKm9hutPD3pAgWhOrx296AFLA1O1DEpeMoy0XtH0BIW9JzQEAAJpMJgKysrO4PdByYmhpY/vRjeNxucn78hjuX/dBpu3biBJo/8VZ6BV3d/VvwVzVN3HS4DIDV49MZplP3eux169axZs0aZDIZt99+O1of+hwAjnIT7hY7qsxghGMSLkVRRKU6OQJ/fxRRKgXrJ/av0szjcSMIkl69CQaDof1nm82GSitHqZvIeP1wAmRqkrPGwSkLwFQNoR1rUMgkPHNWCDt3X4u1qpn8/ElU1KazJTeff1x/bb/W2l/UI0eS+PVXuBob0U7pWwm0s8FK/Rt7ER1uQq4egTIhgPMiglhe10yjw8XC/N2IwIIFC9rnyOVyrr32Wqqrq4mPjz+u5GRBIqBQn9hHi3VfPfIYHc4KM4Yfigi5fFiXMfo2zSuDy/eLmi+OdqveW24kIGYscQ3fYjI24RfQN+HSvlDW2MqRmhbmZoQh60P4a4i+MWTMDBJCaAZRtV9gt7USFKTGYOpeQyLQuoX7xC+R7FEy+cBeHILAtv8sQxc3hThnCKeUe3jJ72dcwJRWKzybAo90ZOX/59B/+DLvSy4ddinnpXUkXqZPjGDl2943ibPv7LmRpSAIxL7zNu7mZmTB3SfICYLA6NG9N8UEKCh8BoejgaqW3TS6JDzZ4JV4X9XUQs3sbOZGBbLioNcbctEDj+GsqyA0PhGpzPs1nDp1KhKJBLlc3kW1d7BoNRjwdOOFAgj/xz/QzpiBMiUFRYxv5VeA5XUGsv007DG1csm+InZP8S0Lfyz79u0jJCSEhoYGVq1axVlnndVljKPcRN1re0AEVWYQmrOj+fKJhzDWNiEozmD0/PFMPbdrf6+TSuFq+O1RSJoF8x75Q8sx8nds4aeXnyU4OpYLHnoChbpzcq7RbuTLvC/JDM4kOyObbdu20dzczAUXXIBKJ+fMs5PgN69R2vDmfmKemg5qfad9WI80UbjmfcSkJhSiSETqAZ6NuwmzSoNfaS23xIef0HNUZfTPuLPuqUN0iYgOD/Vv7CPmqemEKGQ8rA/m6qU7WCEPYvncJCJiO3taNRoNycnJGIw5mFoOEBl5DjJZH7SsrFYOHz5MfHx8l9Yhx+Jxu3HabSg1fQv59IQyMQBzm/fZb5bv69TUdp37dRPu90VUgIpQPyV7ypu5IGMqkr0ipfs3MmJa12t1IBhbneTWmjh1+FBoabAZMmYGCf+4EUgPipQW7CcyWEN+VQseUfQpMR+gH8sIHiWl0YIFf3LT09mXoAFhL2M9SQw7sIvPbCOoifyFadbORpHJYeKZnc/gET08uuVR5sTNae/FkjwmjCuemopcIe3Tm5EgkfRoyBzF6WymsOgFFIoQEhNuQhB83xwkEgUeT5vAmaxr8uyLF2Wzo7iZ4VH+BGoVENA5jCCTyZg+fXqv6zkewhKSSJs8neJdO5h1+V+6bBdkMvxmzep1P+P9tTxZ7O18/XBy3/JqYmJi2LvX20V83LhxPsc4yk3eJksi2A43URKcR3NVBS6HA6wfs+fXcLJmRuMf0rsn6ITx873QUgXVeyAoEcZe+YctJeeH5QRFxVBbVMCPLz3D4nsf7rT9n1v/2d45+qXZL3H99dcjiiKSNsXi0KQA6o8ZL3pEDN8WYC9pQX9mEqrUQCxbqwlET+b2JmRukQelC7FGuSEJ/lVUfcKNmf4iC9Mg2rzhT+UxFYyfbC8jLkjDpY0vE7HqV1gFXP4dJHUIz7W2lrJr18WIoov8gn8xZ3Zer8f7/PPPKS72VpfdeuutBAZ2rSS0Wcx88sBdNFdVMP+G2xgxa95xnWPAgiSUyXpkoWrkob6ry+oc3s8gWN73x5wgCIyK0bO33Mgdc8diFtWYCrfBIBgzbo/I2rw6zhr158nD+19iyMc1SBzt0dRUuo+kUB2C3UNxi9XnWD9dBsND7uXdWAX7pjqxxOoICfIaJDnyIvZ7AqjaJTLOlulN+l30WvtcqSBFfkwisPR3hoU2QNkvF6/LaMe0oRJnfWu3YwqL/h+1td9RXPwihw7f0+24tNQHCAgYS2LCLUxNv4sbYkMZ56/hu9FeT4JSJmVaagieZR+TN2Uqdc+/0Kc1uj1u1pSt4UjTkT6fV3cIEgkLb7uXv334JSPndSP33gduiQ9jaVYiP49N61Wk7yhnnnkm5557LjfeeCNR3SQWq9IDEdr0ifSLktEFBnkNGQDB+5as0vpIBBdF2P0xrHnC2zLiRCJVgqtNf0PZN7n43+NxezA1Hb8CbkBYBI3lpQCkTOgaBi0xlpAc4C3f/q3sNwRBaDdkABSJAajSPXgseUgSijj01S9YttXgqm2l4V2vl1MWpkFdWcBL/oE8EhLEneJHyPNbkFS3kuAR8Dj6HsY4GaizQgi6KJ3Ac1IJuaLDY1glh7xaM9mSAmp0bWGZzS9Ta7Ry3Uc7+ftX+2gyFiKKXiOgu2aOv6eqqgqVypuHk5+f73NM6b49NFdVALDy9f83wDPrQJAKqIcF+zRkjub75BgtCNCug9VXRsfp2VtuQJBIKVGlo6rdfdzrBfj1UC2nDosYEsg7QQx5ZgaJgOBwGtDjrDrIzFMWsxRYUdzATdm+y14/bS7gF52Gr2dImFNaQ2BTIxJBQlxpOFVRKVRGz2S/aT+WwHlcHjaLo+oyGrmGp2c8zbcF33JB+gUEKAdePiyKIg3v7sdVZ8X4I0Q+MBGprmvujMvVgkymx+UyYTH7vlkBaDSJjMzqMLweTumqiSM6ndS98AI4nTS+9RZ+p8xD3Ut+zJv73uT1va8D8PKcl5kVO8vnOHtxMe7mZtSjR5/wG4ZEEJgf0r/PXi6X95oLJAtWE3nPODwONzK9ivy9HtYFTSXEZeeMSQuZOT/dt7FatBa+vdH786aX4IGuyc2DxlkvwrpnvGGmEef2e7rH7eGrZ3ZRV9LCsOlRzL5k4P1vZl95LfqISEJi4kmd2DWn5LJhl/HI5kcYFjyM+yfe32W7IAg0vfcA7voGthdG4gpOYH50R/Kvac0amt97g41T1SwN0OIRBL7R6eAIXFjh5Jb9LdTs2oVldhyJo0KQyfse0jhRCIKAZlRYp981OV1sDhKQDtPznHUEFbIcbkPHmUVraH1rPnutf6emVaSwVs4tWcE4nY2k/a6JpmVHDY5KM36zY5EFdISoRo8ezdatWwkO0ROfYMJur+/S0Ts4OgZBkCCKHlS6gRnAfeXotb++2cQInZqAfnhmAEbF6DHZXRQ1WDAFjyS56ofeJ/XC/gojw6P8USv++O/H/ypDnplBpFqZhKo5l6nRgSDAhrLulWjtaj0qaQBqhx/6chnhDeVojuRgUzaiknnfjNyyEOxOF2+//XanuXPi5vDinBeZGj31+Bbs9pY3HsVZ69s7kxB/PTKZlqDAaYwZ8/HxHVMqRarvMAJkQb0n1u2q28WoUK9Q3Qs5vr05tiNHKDprEaUXX0LtP/854OUVGYtYUbyiUyflk41EI0em975N/rS/FnfmNFYHj+eBknpCYrrpNWOsgKPdpF2+PYKDRvRYuPgzmHT9gKY3VlmoK/E2kDy0oeequ95QaXVMPvcin4YMwKKURWy9ZCufnfEZGnnnt3hHhYnmbwuQ+nl7Shm0aow62Nb4K9YQG+G3j6HmsX9iO3KIupztyATvQ9EtwB3J4dxtU6AQwdNo45d3DvLR/Vv6vX6z2UxDQ8/NXvuLKIpYtm6lddeu9t9pJBL8FVLcsVp2aMtokWsZYbfRqtaTaNnLTXiT3ptbCnA6GwGIjrqofb6j3ETzV/lYtlZT8+T2TsebP38+t912G7NmFnHgwLVs3DQJm72zMR0Sl8D5Dz7OnKuu49pX3x/U8/VFnd3JT/XGPntNj2VkrPf+tKfcgDJ+AmE0UVvRVaizP1QbrcQGnVyxxf9rDBkzg4hFn0aYtRClXIrGX0FpvaXbsRclXsrCvfdyRc7jhChSMTc2IogimTOyQetHcKICo9LrBcnMzAS3C2oOgNtbZmhvdbLlm0IObqgccBmlIJOgneBNRFNlBqFM8u1p0OnSmTjhR0aPXtqnhMAejymREPvqq+jPP5+4D95HHt27ovGCxAXsrffmmrwwy7cx07p9e3tJ+9FqpP5SY6lhyQ9LuHv93Sz6pudeUCeL8QlBHKzyPvj/tXhE9wMzF0JUNqgD4fJvT87iBoh/iBql5uQ5hZWmOoR1T0Nlh2aI6BFp+OAgli3VKEdex8EZD2FOGU9LeBz7oyXE3jQVebgWQS4Hl4uZ+0XGqDMYETyC78/+npsuzEIWqoFQNSuN3muytcUbDvSIHjZUbKCguaDHdTU2NvLSSy/xyiuvsG7dukE735bvvqPsyqsovfgSGt//AAB7k53rDrmYaxCIE/yxiXbKZTK0Fq8hVR0ylYVZeu4Y8/Ixe+oIM7kt3Zc3C4KAXq+n2bAFhcLbi66m+psu42KHj2T0aQuRq058T7NXy+qQCgKXRPa/CslfJSc5VMvecgOxWd4cvqqDGwe8FqPViU41FAQ50Qx9woOIJGI40bWf0Wo2Ehakoaqp+zdkZ7kcpaXNMHDM5rD/NioU4aQNH8PVF0chiiL79/vjdru9DdU+XQL5KyEwEW7eyeavC8nbXoPL4cFidHTqsN0bVrMJl8OOX1AIgYtT8T81AYlGdtJiueqRI1GPHNnn8eeknsP4iPH4K/y7DatpJ09GkEoRXS6Crx1YuWxecx7WNq9GpblyQPsYbK6amkBymI5AjZyRMfruB6r1cO3aQTmmu8WB9UADqrRAZCcg0ViplnHeveOozGsmeUxY7xOOl88uhpp9sPYJuDkHQlLALeI5pt2BTRGGU5nb/v+6+gbi4uKIeupJGt98i4jZs3j7giWddht2wygcNheKx7dja7CROcVbNv/m3jd5ba833PrGvDe69aAWFRXhbBPEW7NmTZcO0AOldWcO8vg4nKVl1P373ygWncm3z72HzhLEFGcSSdFXsCZiHY3OKEzSavwuPod7kmcjiiIHD82ntvYHEhNuRiLpCCWpUvSoMoNwVpkJPMe3GF5oyDyqqj8HIDr6wkE5l4GQa7bylrGJ+5Mi0fczxHSU7NhA9pQbCD17BHUEYSvZDlwxoH1tKmjgtKHqpRPOkDEziAQmZMNeqMjbTWJ4IMXlRlweDzJJVwdYUJQWiUTA4xGxKQNYrfO+AeytMPDvFUc4c2QUfz+97YFvN3sNGYDmYqjeg8UgJyBUTWOlhYrDTZ2MGY/djqOoCGVaWhdV38aKcj554A4cVmt7VYHUV0JpH6gx2vjLhzuwOz28edlYkkK7CYEMArF+PQtwKVNTSf75J9xGI6rM7uXOe2J02GiitFFUWaq4NPPSAe3j97g8IhIBn1VtfUEQBGam9b+NxfHQ8P4BnNVer2J3eVTHiz5cgz78JLndm4pAqgC3w1uBFZKCIJfgPzce04YKnAkBGLfWohUkBEbvp6UlkYjAMByVZtSjRxP75hvd7lqhkrHkoYmYm2zt55NTm0N2aDZ76vfwXM5z3RozsbGxCIK3iePw4b2X9vcVv1NPxfD1195jvPMOK998mfqS3SB6kGvPwE85nr8VRWAR7WyZ7CTBHU0abXINRXORPrgayYideN61I2kTyhRkkk7JxL7IyHicqKgL0GpTjtuD++a6Ql5clc/Zo6N5YnHfNacOma08V1LD+IRAbogbuKGcHRvAt3sqsTndVGiH49848A7aKrkESR8adA5xfAyFmQaRmLTReEQBY8lesiL9EVwie+pNPscGRmg55+6xzL4sg1m3j2JeZjhPLM7i8x3lVDRbeWNdIWuO1AHgkaohYiQ2jx9uUYpFlUxonB+mJhvhif6ccVOHl0N0uym95FKKF59DycUXI3o8nY5bsHMrnrbfHW9VwWc7yihtbCW/zsyc547fTV6Z18zhzVW4XZ7eB/tAHhU1YEMGwE/hx/JFy/lx8Y/cO+HeAe/nKJubzWRs3M/krYepsf9xkvj9QfSIOGs6wqOOto7r/9VMvdUbns04s1PCsv/cOKIfmUKA7gjxkh8YPvZbEpN2MSr7K2peX0fdy7tpXpbbw469yBVSAiO07Z7NU+JPYU/9HgCemv5Ut/MiIiK47rrruPTSSznvvMFp1Amgmz6NlN9+JWX9OnTTpmJpasQv2Bv+CYo0M/n2MUT8fQLbMqvYvHsbn3zySXuTzsZ33kURHoV1Zw61Tz7Zr+MKghSdfzY5ZoFGR/+UsY9FFEWe/zWPVoebT7aVsT6vvvdJeLvAX7KvCJPbw9KsxG5FS/tCdmwgLo/IwaoW7OGjSbDn4XYN7JykPl5mhxh8hj7lQUSt9aNKEoG75iBz4736LSuKu0/uC0/0Z9jUKMYnB/POFeO4eGIc/sfIr/sjobrAwO7fyika8yGNU16lYO42jM1egby5lw/jvHvHodR0zHFWVmI74C0pte3dh/g7yfWo1HRcdm9ya8bUrm5tj8dDbm4utbW1vZ5vsFaBta0sNSXMt1dmT92eXnMHAGpLWvjmhd2s/vAIXzy5s9fxJwqNXEOc/8AaL/6e9yrriVYpKLU5OG1n73odJxqn08mBAwd6TDgVJEJ7HpUyOWBAndb/dMy8Bx6ow6A4j9LLLqdl5S/tm+xFRZQ9+ii7QjUo1B0l7TbRW+7duqfjQVp+aD97fvkJp73nkvILMy7k27O/Zf2F60kLTOtxbHh4OCkpKYMe4pVHRiIP83omJp27BKe1lcTR47jo0duQyiXIApQYW4wEtDVTLS31nq88JgZH28+6af1vsHhfXgWLdhcwfNMBqu0Db/cQfkwH974mzkoEgUVhegBWNByfPEF6hB8KmYS95Qb8kyehFWyU5Q2sRHugOY1D9I+hMNMgU69JRmfMZViYH4JUYHN5M0zq+/xXLx7D+xuLmKbWEq2Q02p0kDklCnurk8AJi3Da3ZibvS7t6kJDl/nyiAjkUVE4q7xVIoK8cwgpdvhIljz2DDZzC0ljuqrsrl69mo0bvclul112GcnJyd2udcmEOJosTuwuN7fM6RpH/yrvKx7Z8ggAz858lvkJ87vdV2OlmaNNVRr/F7wBQKJaycoGb/LuRQNIRBxsfvjhh3bRvuuuu47ISN+tEfRnp+A/Lx6JTv6n0sQQRZGVB2tpsTk5Z3R091LwlgbwuMGvQ8zObbVT/dBD4HLRunMnmu3bkPr54TGZaNHF4EFKVVUa0dG5BAXMQ9M6HPAgb6seqy8r4YvH7kcUPWz58hNueOs/Pa41KSBpsE77uEmbNI20SV7DpKl5C2WlbxEaOp/p06fzww8/kJyczJw5cwCI/OdjNGdkoMoagd+sWXjcHrZ+W4S52c7Uc1PQ6rv2Z6spMrL6oyMEhmtYM1wgVqWg3ObgnYoGHuyjoOSxCILAO1eM47Pt5cwfHk5iSN8Vgx9OjiK/1MB9eRWMD9CSohlYsrFCJmFElD97yg1ccMYUPL8I1B/eROKw/vVEE0URxwA9zUP0jyFjZpCxB6YTW/EVEolAWLCaQzUmmp0uAvuYiDYqVs/fMmIJjffDL8h7IbqcbtZ+fISmagtzLsts74itC1JRfriJ0Di/diE1QaEg4fNltO7MQTttms9O2NHp3YdiysrKiI2Npby8nDVr1vRozMilEm6d131n3C3VW0gLTCOvOY971t/TozETPyIYrV6JxWBn7pUDDxX1hNtop3VvPar0QOThxy+p3ht3JkQQJJcRppBxzgBKRAeb8vLy9nYKO3fuZOHChT7HNdoaeSLnCTQyDf+Y+I8uJc1/FL8druP6/3grkr7fW8VH10zsOqgyB95fAC4bXPgxZJ7ZZUirOoyPn9iHKMK4BQnsG3UXupZq6kt0rHb5Ue1XzP1ZZdSv2YdeHUeYmE1jRRmi6H0otRoNJ/I0fWK0G3lk8yO4PC4envIwIeqQAe3n0KG7sNtraGxaz5gxn3H//fd3MlhlQUGE3nJz+/8LdtWx+xdvu4f8HbXc9IbX6HE12Wj+Oh+JTs72GiuIIkV76jnPouOFMd4cq6uiB7ZGgLRwPx5a2LXfUm8IgsAV0SEUGRq5J7eCr0cPvPXHqFg9q4/UofMPpFgah3hMNVxf2VVmYEz8H3/t/19gKMw0yMijsgjBQFNdJZNiAhFNTt4q71vM9ygSmdBuyACU7m+keG8Dxjory5/r0I6IzQhCH66h9EAjxnorLqeb4n0NSIOD8T9tPlJd/x/Yw4cPp7y8HICz+9Gl1xezYmeR1+wNr7w297Uex2oDlFz6z0lc8+x0MiadmGaKDUsPYvypmNoXduEyHL/6bG+opBJuiAvj3IigXj0czc3byc19BJPp4AlbT1ZWFg0NDUgkkvY3cV+8s/8ddtTs4NvCb7lm5TX9Osbb5fVce7CEXMvgf765NS3olN6Xgg353YTKDn3XoUq87JL2X0v9/Ih89BHUY8ZguvQB3G4Ri9HBuk/zUPvJUVsjUVWOpVhTQ5Wlmo3ffEhZ8yH2/PIjBdu3kDByDPoI7/dy/vW3Dvq59cay3GVsrtrM2oq1zPti4K0Ajqr7Ang89l6/ly6Hx2frrZZVZTjrWrHuqYcaC60mb0hpenIwX2Yns3/qcGJUg5843heUEgkPJkex2WBmT0v3yua9kR2rp7SxlSaLg3r/4YQY9/d7H4ZWByG6rt6sIQafIc/MIBOSPBq2Q1VeDqOisvhhbxUvl9RwZpie4b10VhY9Ik3Vli5y9T1pcvgFqYgbHoTN7KQyz4BfkBJTo23AvXsmTpxIcnIyGo0Gjeb43sjPTDqTjMAMNHINUbrO7uac0iasDg9TU4Lbb6gyufSEKaiKougVBZQAHnCUm9uF6QaCR/Tg9DhRSo//RuVyWdi77xrc7lYqKj9i1sxDSPu4302Vm7C77cyOnd3rg2n27NlkZWXh7++P4vdd0luqYO1TEJaJBw8Swfue4xL7nvS419TKgwXekvbv6gzUzM7u89y+cObIKN7fVILdJbD06m4akcZOgE3/z/vzxBuob63n/YPvkxGUwVnnnov+3HMxr6vg0GdeIzsswZ+GMm+SvvYUI0ZLW66FWoGnxZsP5h8ahkqn48rnXsdpt6HSnriqve6QCBLEtjisRtb7dSl6REzNNvyCVJ2+Fxnpj1Nc8iphoacRHNR7Tkzq+HDKDjZhMdiYfWmHx1SQCuD2ric70Y8CtQJ9uIbRp8b5/B42VVVgamggLmvUSQldzg8JIFal4KOqBrIHmAOXfbSDdoUBTfQ44g+soNVsRKPrm/K3twfYnydM+7/OkDEzyEQnDcMuyjGX7yd9/BTcbpFEpFy+r4ivR6cQr+7+IVW8t4HASA0RvxOvi04PZNr5qTRVWxh/Rlc9GbVOgVqnIDBCi+gRKdnf4NOYEZ1uLLvqkIWoUSXru11HSMjA3cO/JyWwq5t3bW4dV76/A/DqqDy8cPDKUrtDEAR0U6Mwr69EmRaIekTvDTa7w2g3ctnPl1FpquTpGU8zN37uca3N7W7F7e54gxRFB9C7MfNb6W/cvvZ2AM5NPZdHpjzS65zf/21rjDa+zCnnkrIHCazZDLuW8pcZd1IZMgKtXMvDk72NG0WnB+MvJYguDwHzE5D4EAFrdZ/Y3ICEEC2b75uD2yOiUXRz68o4A674HlwOSJnLv9bezuaqzVhdVuxuO+ennc+w6dHQbMMjFRixIBFzsx2PR0QXokA43ILL42LBjBns/+VnksdNJDzJ+x2WymRIZX00ZCpzYNubXjHDTN/hvP5wUcZFFBuLcXqc/GPCP7od56ytpeq++9iumEsdkSRkBbPgxpHtBkRo6CmEhp7S5+PKFVJOu7arWKP/3DhcZjsyfxX+C6Jpsjk5aHaS7vGglUppzcmh4uZbkEVEoH38MT594gHcLhdpE6ey8I77+v8B9BOpIHBaiH97ztpAiAvSEKiRs6fMwFnpk5Ed9JB3YAvDJvWtp9uG/AbGDoWYThpDxswgI5MrKJXFIqk7REqE1919vT6QVx1mztqVz3MZccwL9u8yz2l3I0i8Jdu/RxAERs3tWWelfaxEQJAIVBcaiUzubBQZfizGsq0aRAi6KAPNqJOrX3KUnNJm9Bo5hlYn728qOSnGDIB+QRL+s+MQVNLjejtcV7GOYqO3S/Bta29j/xX9dz8fi1IZSmzs1VRXf0F8/A191ug42HiQIFUQTbYmvsr/qk/GzO+58eMcb1xfXsrYkDCUNiNhzeW8em7nFhrmbdWYN1eBW8R2sJHIf3TNV5kYoOXyqGB2Gi08ltq7svNAUMr64LlLnNH+Y721nkhtJEXGIvbV7+P8tPOx5tSi3+rteO5ID8L/mIqtK4Z3CKNFXufNB2uxOfl8RznDowKYnNxHI/iLq8BQCvuWecUMo0b3bV43aOVa/jXtX72Oa3r/A1ryK6gb7g2JlexvxGKwowscXNXdDd/9h5wfl5MxNwn15tU0uNU8If6DxwpTyJ2eReP77yMLCcZ++DDF99+HW+n14uRt24SzxoKn1YkiMaDX61AURbZv3059fT0zZszA37/rvbM7Jut1vF3RQLXdQaSy/yEvQRAYFatnb4WBW2aNwyoqaCnYCn0wZqqNVtQKKf6qgWl4DdF/hnJmTgBNuhQCTPmE6JSE6BTUNlpZPjqFYTo1l+4r4oI9Bexq6dzqoDKvmfis/nlErGYT9WUlXUr/ZHIJFUeaqMxrpiK3oz+Us8aCItb7oDRvGWBPnB3vwjvz4OA3A5sPnDIsvL2k+8Ul2QPez0CQqI9f6TjOr8NtHaQanCqltNT7mTljDwnx1/V5zqnxp7YrFr8+7/UBHbe4wYKfUsYLrvOw2+2Qfgac9XKXcaLdjSDz3i7cLb5LbiWCwNPpsayekMG0wBPbTLCvXDfyOox2I1OjpvLApAcAsB5pQh7lfWlo/M/hLnM2NJm4J7ecAyavt+y+r/fz+I+HuejtrazJrevbgW2Gjp8tg9t7qScEhQKZ1YjK1tj+O/Ugix563G52/fQtHrkCi2onVruWYKGJJ8S7sJp2IYoitmA/HOUVCOogkkdeQoLeK3w3ZvZCal/cRf1b+zF813u/o5KSEn7++Wd27tzJ888/3/77QxvW8OrVS/j+hafweHx39z7qBa8+Do2n7FhvB22pTE6JIhVFza5e53g8IjtLmhmf8MdXMP5fYsgzcwJwB2cQY1iPx+0mLdyPvBoT4Uo5n4xM4ts6A9cfKiWyspEx/h1eGEEidMRXK3Lgx9shbJj3wSLtat1bDM0svftmrC1GRp2ygHl/ubF9W3RaIA6rG5lCikIlparAQFSKHt3ESJq+yEUaoCD4sv5XCtDaBD/dBaIHvrgCUqtA0f8k45ExejbeOwen20OUvu+5Pa0tDtZ/lotcKWXGknTkyj+mA212WDYvz3mZ0pZSzk87/w9ZA0BmcCa/nf8bbo+bQNXA3Nl/nZHEMytz0aROR3vlHdBNjF87MQJ7oQHR5SFoycC7XJ9sZsTMYO2Fazv9TpUWiGG5V/so6KL0TttaXG4u31+E1SPyYVUj5TNHUVhnJiVMR0GdmR/3VTM7vQ/KsvOfgLX/hhGLIbXvYZ3jJfiaq3HV1TFLmo91zjgSx0UhlQ/uO6sgkaAPjaRC7YfF7SFI5tW12m0MIMDyLE9sqeCb6O+5cJKKi2IeQTSrmBgYzbSLL0ct6jBVliE6PVi2VBO4qOdqo9ZW3wm8m7/4GEEqJW/rRsKTUpiwqKvoYFBb/l2T07ex0xdGxeppbnVS1tSKMWgk8bW/9TpnXV49s9L/GK/3/2WGjJkTgDp2JNoiG1Vl+aRH+LE211vNJAgCZ4cH8mpZHaqeEsNWPwZ2E+z91CvDftZLXYZUHD6ItcWbrLj31586GTOCRCBpdMfF1HKgEafdjWZ0GKqMIASFBKE7jY5eEbr5+RgMZZTl5hKZPR250rd7O9Sv/4mzu1aUUplrwGZx0lhp4YJ/9E/zYTCZFTvrpBynZeUvWHftIuiKy5FHddXs8Ff03e3uixtnpXD11ESUMkmPHiupTkHotX3vp/VnRjcxEnmkFolahjy0czKt2eXG6unwdLpEkSunJPCP5fvJjPTnsUV9DImOvtT77yQjDQgg6qn+Kff2BY9HZPt3RVgMdrKiNEyVL+QrRQ7lFaNxOFXE2uK4pupMgv3X8777KzQ6PUsnG1lYKUHnL6c24kNaXQdJirkdm9qBIfk3whJ6D9ekpaWRlpZGXV1dp+pKrT4IY+0hAMISfGv6ONr+jsrjUQJu64e2p9xATPx4Ims/paGmnJAI32H/gjozwToFfkPhpZPOkDFzAohIHQProK5gFxkR0/hgcwk2pxvVMZU6PWpCyjVeYwZAF+5zSERyKjKlEpfdTnRGz16WuGFB5O+sJXVcOBL1cfzJNUFeT9G+z2DSjaDwUVVRtBbPh+dgaA7FWXUTyYv/1mVI+aH9mBsbiB0xCl1g312xoijSVmQz4JYH/03Yi4qovNVbBty0dCmZR7qGRAYD1QmqIPszo4zzbQRGqRRcGxPKFzVN3JYQjloqYcmEOM7KjkIlk5686hS7Gdb8CyQymH0/yAc350UURb7bW0W9yc6lk+J7/Q4U5tSRs8KrDHwEOD8rhuFVJra78qktm8apziwEQWBxy0y+C1xHjbQGAO3caOwb9tGc4O0td7jyTjSzUmi1FWDwrCLAlIa/X/fd4OVyORdffHGX3y+4+Q5yfvqW2OEjSRg1xufcoy0VgrtLFu8DgVoFCcEa9pQbGJ81DbZDxYGNhERc1GVsXq0JQ6uTCYlD4aU/giFj5gQQFpVICxpslQdISz8dUYT8WjNZMd6EXL1cSqOzh5LX+U/AqscgLBNm3O1zSEBYOJc//TLN1ZUkjPR9MR9FkAhEpuhprLIQEnOcZaWjL/H++x0tDXXUFhci3b0MPMmk+xdi2f4EeZFjSBk/GUmbeJ/V7DXSMqfPpmDnNlLGTaQq7zD68Eg0AfoeDz1mfjzGBitypZTZl/73hDoGiqv+5OVanCzcoshHVY3IBIGLI4MG3IDzRPJYanSXBOZuq6dOFFtegZwPwNkK5dvhmpWDuvtVh+u49bM9ACzbUc6vd/TcsdtboCAgtnk7VpQ38Qj+eNxjudWsRKb1/h1zNC2Mr5tAxLBWFs+/gxiZFqtlN8XH7Ku23kNAgAKPx0Fra3GPxkx3BIRFMOfKnvPL9putSAWIP069m1GxevaUG4g8YzKNBGAt2Q50NmYqDVYazY6+J4gPMegMJQCfAASJhEp5IvLGw6SFexMhj9R0lAimaVTk/U5UzO30YKxviw8HJcL573t7yvRwsw+MiCJp9Ph2Q+H3iKKIs64V0enBL0hFS72117U7nc72RpT9QeOvx2W3EzpyOkmSPJRSN0Fn3kfS2Inkb9+MxdCMvdVC4c5tRKd7PUkSqcSbLGgxU37oAB53z7FtrV7JmTeNYv5fRqDwURr8v4Zm7Bh0c+YgCQgg+vnn/ujlAN7v1JEt1exdXT4g79h7FQ38I6+Cu3LL+dvhshOwwv8RbEZQtL141BxftZwvShotKNsSuvPrem8fkjo+nISsYMLi/Vhy/wRWRSsZ0XZve09jY53ZxRazi+umRlKfGsLfDr5HbM0hHD/cimrTO6QfsdBYn8CuXQvYs3sqbrcfkZHnEx7WVaF5sNhsMJPtp0Hblwq4HsiO1XOwqgWnB8rVmejamogCmGxOft5fTY3RNmTI/MH87z8R/iBa/FMJb96FVikjLkhDXm1H9+xsfw3vVjZQZXMQ1fbWkJQdSm1xC/bWFsLijy8P4iiGbwuxbK1GopER8fcJaPVKDLWt6MN9i24dOHCA5cuXExQUxDXXXINK1XfXtkQqxeN2o518IUQle42w2AnIgPTJ08nfvoW1H76NKIqEJ6UQGpdAUFQs+ds2odToCEmJp7m6kuCYwWnyeBRRFDE11qMLCkYi+e8KpwgyGbGvvXpSjiV6PBg+/xyP1UbQJRcj/F5Ur42CnDpWLfWGuwpz6jjn7rH9Ok6R1U6kUk6l3cmXtc28Miz+uNbtEUWeLq7hiMXKg8lRJPezF4/o8bDtmy8wNzcx5fyL0fj3TRDthDPxeijfBkFJcMGHg777haOi+HBLKU0WB29fPq7X8XKllAU3dORMjcoI5aVV+QCcl/UxKqecL6w3gETC95GzWb2jnqafKkm1/oJSKpJQ5+ZQ3TSO5tlNGP8bfhod1n0NyCM0fW4v0mht5PW9rxOji+GK4Vd0m+fV6HCxssHI7fERfdpvT4yK1eNweThS04I1LJvhpR/hcbuRSKVszG/gtBERf6oeZv9XGTJmThRhw4hu+B6H3UZauB9HajqMmfkhASgEge/qDFwf11EZEZ7oT325iZoiYxfhvIHQuqceiUaGp9WFZXsN4dOiqS40YqhtIChai39w50qibdu2ER4eTlVVFV9++SWXXtp7AqPF0ExV/hFEj4f0ydO9XqK4rhokjeWl2MxmHNZWPrz7Zu5c9gP68Aj8gkOQymTYW1sxNTX6OAI0VVWi1GjQ6vtfsbPq3dfY++vPhMQlcNlTL3brxRp0SrdA6SYYczno+lD98gdj/O47ah59DEQR06+/kvDJx77H1bWiUElx2NxUF/a/M/GlUcF8W9dMmELGV9kD75tzlLVNJv5fqbfD+4qGln6rDudt28SmZR8BsPeXH7lz2Q8+x4miyKHDd1Nf/yspyfcQE9M11DqoBMbDX1efsN2H+6tYe9csPKLYfcPOHvjbnBQSggRqim8iPchbYp3vvgi1Df7+00YKPdNxHFHiiLiAyazgW2kyU8dPIOdIAfHjJuDn50fzV/m07vT+7cJuykYRrYXNL4Gl3uuVVnW9B76Q8wKry1ZjcppotDVy57g7fa7vg0pviPbSqOP3lgyL9EcuFdhbbiA7aSL+pW9QVrifWkUcmZH+Q4bMn4ShMNMJwi9+FHLBTWXBXjIi/Mg9xpjxl0mZEeTHO5X1OD2dU4FDY/2wWfqui5BXa+LVNQWUNXYtYVTG++Fp9ebmqId7L+rI5AAUGhl1JaYu44ODg6mp8SbujRzZt8oVm8VMWHwSaROnIuvmbR5AGxSEw+YNc4XEdryNS2Vee9pYV4N/aNdyxprCfDwuJ4U527ro6fSF/at/RSqX01BWQt62TX2a47HbcRsM/T5WOy1V8OFZsPqf8Gz3jTgHC7e7ld17rmTzlrkYjbsHtA9neQUSP2/YwLqrey2NtAkRKNQylBoZ597TP68MwHCdmn1TRrB7ynBStb69KNuKGskpbfa5rcu6B/CdOBab2dQnA9diyaemZjlut5ncvIeO65h/FiQSYUCGDIBMKuHs0YmMjOzQy0pYe5Ccb89lin0jmOtxmJdTWuLgHeECDrsnsWnrDr6aMI/bnWpuPFSKo8yErM1L3LShFPHAV/Dbw958oReyfB7XaDcSovHqcR1pOtLt+t6rbODCiKDjSv49ikouJTPSn93lBuKypgOwdlsOgRo5Cf3o6D3EiWXIM3OCiE4bCyugsWgP6XELqTPZabY4CNQqcHlEqmwOLC4Pdo8H+e/CH4JEwGpyoPbrOXHN5nSz5K2tNFkcPLMyl9zHT+ukkBp0cSa2w40o4vyRHasAKoqExHZNBD799NMJDQ0lNDSUtLS0Pp2nSqvDYuj9wTN85lzsZjNOu51xZ53TZbu5qZHQ+ERcDgf2VgtOu53GijLkShURyakIEgnN1ZUERcX0aV1HCU9OoTrPe9OLyei9rNZZW0fJ+efjqqsj6plnCFg4gJi+oRzcvoXlfGEx2rFbXARFDezGWFe3gqamDQDszDmPuXN6FyP7PQGLz8a4fLk3tPX2W92O8w9Rc9m/poAoIml7EFqt5VitZQQGTkYQen84ynqoCPp2T2V7YuoDZ2Tyl+m+y26PMjfIn8uigjlitvFEWv9VhzOmziJv22YszU0suOWubsfJ5YEIghxRHLgA238bDpuLiiPNRCYH+LwX2XJ2E/lCKJ7MJOR/mckHux9CK20lSLKWhmonO8z+VMvCCBI7ypQrbHYQJCyvM/Dv0WG0rCxhl7yYfQe2k7QnkPGyGaQq1oPdt9fv2pHX8o+N/2BK1BRemPWCzzFOj4dGp4vR/oPX7T07Vs/Gggbssgz+4zmVwMZdpIT1rwnrECeWIWPmBBEQFEodQTirD5I+wVtamFtrYlJSMM+V1JDbamPZqGR0PpLT4ocHc2B9JYnjglCoZMglvjULjFYnTZaOh6bF7u5kzEiUUjTZXUMcUamBVOY2g0in/BmlUsnUqVP/P3tnGd7GlTXgd0Ysy8ycGGI7TmyHuW2wTSkpc1OGLW7bLWzbLW1h291uYctNccspc1MKc+Jw7BhiZltgsTTz/ZBjxzE7DnQ/vc+jx9LMvXeuZGnOuece6NK+cs9O3HY7sSMy24vsuV1OPE4n9aXFhMR2zX9yMKKoYPxpXZWY/UQNS6G2qBCrsQVdUDBKlYrUcR3FBMMTkijetI7W5iaSRuX2eb39nHHn39i7fg1Jo3IxhPVtcm79/Xc8Db68QNV/+cvglJn4sZA8HcpX+yLTeqGl1srHj23A45KYeNrwbmtv9YVKdej1X9QJCaT+8jPIMoLYu0LiC0/2KSR2ewVr181HkuxEhM8iN/e1Xvv2xbrSZpLC9JQ32/j7t7v7VGaUosBTGf0r9dEdGr2ec+77e9/tNJHk5rxKU9MyEhKGPn+M0+Nzfu9XuYZekD0S1nU1iAEqdLmRh7QF8t1L26gqMAJw1dMz0Og734dqH3scT3Ut0o4CmoXNhAc6kNSg8EBMsIPvdAup1EZzhryDAMFNbGQ4OmRsQAQNtKRuJPqqk7E88TZxzCEyIIbt9tuwFjhJWjCb7gKcR0eO5uszvu513rVtGX+Hsmp3bkII76wp47eCBjJCIbh1/ZCN7Wdo8Cszh5FabSq6lgKGRwSgUggU1FpIiAvkxYp6bk6K7jXle4OznrvfvxmjoY7F8xaTEZbRpU10kJYFeXF8mV/N5dOGERbQ/x9vfEYo+7Y1og9Wt0cGOaytuB0OAsM7l1Wwm0ykTZhMVcEunDYbgiigUKjQ6PXEZWSh0R+6qdUQFk5zdSUavZ74jKxu26SOm0TJlg0DGlcXGETO7BP73V6bMQLati40I7ufR58oVHDZN+Bx9pkfpHxXM5LHd731X5cOSpkJDz+B9LS/YrOXkzL8pkFNGXxJHXuLnusOk2kLkuTbPmxsOnQfjxOzY/hwvS/K6Y3L+nZMHQhutxGlsu96QD0RHn4c4eHH9d1wgOyuMXP+q2uRZJkPrp7MqPjB+8uZf6vA8lsFSDKBdTaCTxw2qHFkSaaq0Ngejl1VaCQlr/M2sKBUIrvbLFUaKEwzkFZiRZt5AQnZt1P+4nayhDq0eFC2NGDZvZGrCpYhLlCRJ2ymaK8H7/PfMHZPAbAK3cnPUKfTcmfWFeg21/LShq3ETej/wmU/u1rtqAShU4b1QyUvKQSAmCANUuxYhu3+BYfdilbn32Y6VvArM4cRW8gIkmt/QqUQSY00UFBnobC8HoNCwQ1JvTuFbjZuwB5kxGQ3cfbXZ/dYzPDZ88fwxJk56NQDX9HVl5sJidGh1irxetzUFu9l5+8/M+28SwiJ7ogCCI2No7mmioSs7vNBSDY3luVVKCO0BIwffPRAfywu/dnGOBR0eXkkvfUW7qqqwVll9iMI/Up0FpcW0v48c8rgPjtBEEhKOjom75CQCSiVQXg8ZuLizjvk8Y4fEcnyO2eiEAVig/tf6qIviov/yb6ylwgJmcjYMf9FEA7dEVySJIxGIyEhIYh9WLN647PNlWiUIvUWJ6c+v5J9T5wy6LE8jXaUETo89TZaV1cPWpkRRIHUvEiKtzSg0ihIGtnVThLzwAM0PP8cqtxUqjNfwYWed8ecw/jMv3Ja/jqm1eygNimOCWzF7jRSiR5NnQPL90oeC/0zCxK/J25PQft4NlMVH0Ym0KzW0RiZzsLva1g/CGWm3u0hUCmiGEK/XINaiV6tYHuViXkjpqLe46Vg5zoyxs8auov4OST8ysxhRBGTTWzte1hMzWTE+CKaCiMFzo4J7XZ76UCiDJE01Pu2O+YPn99r28EoMgAqVT1Vu8tprgrAVFdLcs4YZl52DVVtpRJi0kYgCAKyLCP2okQYvy3Fvq0B2S0hWT0EHj8wv5ZjjYDJXaOxDheRSYGcd99EbGYn8RmHvl20H6vVyhdffIEsyyxcuBCD4RCTJfaAVhvL5MlLcTprCTQMTfXzhNCh83XYT0XluygUARiN66muWUL8ECheH374IYWFhSQnJ7No0aIBKTR2r0S100WKTkN6VCD1FicAC/L63rLtDcOkWBrf3okiWEPk9YdWfmLeVdk0VrYSFhuAspt7jG5UNkmvvILJlA+bXuELzuZbFvBhQQX5ofHcvfUeamqDmDNtG+uUCdgyQglMbKV+SwTlykSe33UNp8d9gKd6E8rgEDQREaglL1bZl78oPS4EAMkrserTIox1dqafk0ZoTO/WkFOiQ/l++z4eWlPCNRmxJIfrDzniaE+dhbFJvuR5V0+dgOtLJS1714BfmTlmGNBy4qWXXiInJ4egoCCCgoKYMmUK33//PeCrbioIQrePTz75pMcxZVnmb3/7G7Gxseh0OubMmcPevXsP7V0dI4QOzwOgqnBzmzJjptHl5rTIkB77lO1oYu+GOrIVY3ho6kPcNuFv7NRfwambCql29N+ptD847Tayjz+BlDETyJ13MmFxCeiDgkmfNJWgyCiK1q+hqbKciMRkmqsraamp6nYcr9mJMsK3inbs7V8UymCQJO//ZBhkWFwACZlhQ/re1q1bR3l5OXuLirjv1cWYess4fYho1BEEBY46pv83BsMIvF5f5E1oyMQ+WveNzWajsLAQgLKyMpqbm/vd1+r1MmvDHqat28MdBRWcMz6Bp8/N5amzc/j3uXl99ze2sHvFb9gt5i7nNCnBxN0/mZi7JqAMObQSCKJCJCo5qFtF5kCCgnKIjT2bZkUS8Rrfd2CJxUHt/DSmpPqc7xOjmkk6oYbG1BgWn30LrrwwZBHU4xeRPN9L2om7SNJdQqxZIMOr46LR8bxxma/22r5tTWz7tZLynU28/+C6Pud9RlYMc7Oi2KLxIskyvxc28Nueen7bU09Zk3VQUZGSLJOXGEp+hQm1RkepKhVlTd8VtP0cOQakzCQkJPDEE0+wadMmNm7cyKxZs1iwYAE7d+4kMTGRmpqaTo+HHnoIg8HA/Pk9WxaefPJJnnvuOV5++WXWrVtHQEAAJ554Ig6Ho8c+fxQSRuThlQVM+7aSER2IzelFdHgZHdiz+dxYayYsSsnYecM4I/0MqjTTKHW42Wi2MXbNrk5tJUli27ZtbN++fVA/0AM5OKFcQEgo6ZOm4rTZaKmtJm38JBoryzE31HfpG3h8Al6zE3VSIOEXD9zPZN26dTz22GN8+eWXvb6PlppqQmMHHrHy/xGFQoEkSawfnsWHY44nY+UOapxDqwz/kRg9+iXS0+5l4sRv0esH7pd0MFqtlrCwjq2X4OD++7nkm22U2n3/i/dqmhEEgTPHJnDO+MQ+az9JkpcPH7iT7/7zL1686kK8nq7RVYJSRBjiGlIejweLpWs6B/Bt/Y7M+gf35F2ERdYQ6rBxeeEGtuuSUMX6fs+6AN/7/YzzkBCRonVkp9jxbHwafXBde821HSlv8dilw3j0orx2Z2i590p23bIgKpQtFjuqQDUzM6KYmRnFCRmReKTOyk15k63f9868xBAaW51UGe0YQ0cTY9k54Hn5OXwMaJvptNNO6/T60Ucf5aWXXmLt2rVkZ2cTE9N5z//zzz/n3HPP7dHELcsyzzzzDPfddx8LFiwA4J133iE6OpovvviC888/fyDTO+bQ6gIoV8RB/S4yYnzOvlEu0PRkjq7fTeDyewlbvxEWfQHxYwlWKrB5fWbXbEPnldbmzZv55htfkq+ysjJOPbV7H4+SkmdoaPyFlOG3EBk5BwCvx9uvonlxIzLZu341DWWlBEdGYwjvGhGkTQsl7v4pfY7VE7/++isej4ctW7aQlpZGdnb32xXmhvoei8odjMPjwCt7CVAdWw56rU4PAWrFoKwYHpeLmqIColPSUGt79yeZNGkSRqORjwLiSNWpKba7+FdpHf/MHHzkzx8ZjTqCpKQrhmw8URS5/PLL2bt3L+np6ahU/a+SPCJASwQuGlETNsAin3azGWNtTftrq7GFoIjDm5TR6XTy6quv0tTUxKxZszjuuO6doMcGB7Bz2ig+/OgjChobMRLMOdEp3B5rxq134ZZBLdloUPrmm160C1d1KTWeZGKVZazValgftYM3Xr2Rx5/5BpXGd78bnhPBqOPjMdbZmHZu/xItzgwLRABWtli4INZ3zxIEgdRIA6mRPnkkyzLFDVZ+K/At0AwaFWOSQlAdlHunzuwgKlBDVKBvPlsrTEQnTiChYQmmpjqCw7svBuznyDJorzWv18uHH36I1WplypSugmzTpk3k5+dz5ZU9OyaWlpZSW1vLnDlz2o8FBwczadIk1qxZ02M/p9OJ2Wzu9DhWadSnYjAVEh+iQ6kSESy95KnY+gGiCILLBK/NBODKhEgWxUdwbWIkX4/tnPulvr6+fUW4cePGboe0Wkso3fc8ra272La9ozDbvq3FJGT1Hva6n5SxE0kePYaYtBGHpSRAYGBgez2o8G6UpXZkuV9KQImxhDlL5jDtg2lsqB1Y9NPh5IEvdzDqgR+56YPBJbb74qlH+Pihe3h+0Tm4Xc5e22q1WhYsWMCJiTEUt1kBrkyI6LWPn4ERGBjI2LFjCQzsOSqxOyKXPcKOZXPZVPEEmyb3XvH+YPTBISSN8vnCxKZnEBjW//9pQa2F3TUDv1eWl5fT1OTLzv3rr50j1lzVrdi2NSC31ekSBIEzzzgDe4adnSN24pBCKXDFIgsib9Ro2WPcigcVapcTg91K3SUiEff/yqPjzuSamCiCW9VEt2iwHpC0UlSITD03ha+zXmDeL8fz8baPee+991iyZAlOZ/e/gxCVklEGHataeq47JQgCaVEGZmVGMyszmqzYQNYUN/HrnjqWFTZgsvvu1btrzGTFBBEZqCE+REd+RQvRI30pLMq2rRjw5+nn8DBgB+Dt27czZcoUHA4HBoOBzz//nJEju/4gFy9eTFZWFlOnTu1xrP3ZZqOjO2u20dHR7ee64/HHH+ehhx4a6NSPCs6wLIaXvw+yTEioFru5Z1O/HJGJ4FwOGqiKuw77pnrSxkXxUFr3Wyu5ubnk5+ejUqm44oruV52i2H24dmNFFRMXnNCv96BQKlEcJgdSgPPOO4+NGzcyYsSILta9wfD9vu+RZRmv7OWKH6/oMRLsSOL0eHlnbRkA32yrYdHUZiYM6y6TRvd4PW7KtnUoQdV7dpOck9dnv8fSE5gbHkRGgJZknaZf17J6vcgyfTqpHxEqN8K3t0FUNpz+nC/s/Y+MJMEaX72t+JLvoeQXGDGvx+b5P5ezd0MdY+YlkzYuCkEQOOuvj9BSU0VoXHyfOYH2s7ywgUVvrkeW4aHTs1k0dVi/pxwZGYlCocDr9aLRdHyH3A026l/IB6+MKjaA6Ft8VlONRsPFcy7myU+fJLs+m6p6kIN2UmaopjXmcgRZwqXWsGNBEjNkJ9+XfMalJzxM3OIXaVy7jazJx3WKpgTYXL+ZdbU+f5mvfv6KHE8ONpuNhoYGrr/++m7nfXJkMP8orcXk8VLjdFNs8yk+sRoVk0MCOD0qhONCA9srtwdqVRw3whd+7vZK5FcYsTjc2FwdVuy8xBC2VphImD8JEwFYS9fDzLP7/Vn6OXwMWJnJyMggPz8fk8nEkiVLWLRoEcuWLeuk0Njtdt5//33uv//+IZ3sfu655x5uu+229tdms5nExGPTfK6Nzya03EJjfSVxEXq2VZiQe7Aw1IecQujJKkoaBUiegVLZ+40qPj6eO+64A0EQejRz63QJZGY8SmPTbyQnX9N+XKbrHIptDp4tq2NysIELh6CmSX+JjIzkpBNP4td3drPitVVMPyedtHGdTeeyLPc7B8qI0BGYXb4V6Oyk2UM+38GgVogMCw+gtNHnhJoywDToCqWKxOwcKnZuAyAuI7Nf/VSiwLyI/vtz7Gy1s3DzXmySxOd5aUwMOXxKbL/4+UFfBemt74NaD6ccG9XDB40oQngaNLSl4o/u2TJjNTlZtaQIgB9f28HwvBNQKEREhWLABVmXFzYQadBQb3HywFc7B6TMBAXpOf/8PIymIHJzOqzw7upW8Pr8Tdw11k59RkeOZmHkQmq9tTQ0NFBtzibBrqAsXcc5td+Tp1tJUtAenm+OpaTyeVj/PF9e9iXRl4WiDw7pMoeYgBhEQUSSJWRkVCoLcXGFKJU9R779KSkKtSjyS5OZUQYd58SEIiJQYneyosXC+zXNJGvVnB8bxtkxYSQekGRPpRC7XWzkJYbw9NJCvDKUabPQH1BB28/RZcDKjFqtJi3Nt285btw4NmzYwLPPPssrr7zS3mbJkiXYbDYuvfTSXsfavwqvq6sjNja2/XhdXR15eXk99tNoNJ1WCMcyEaljYQ3UFG5iZEwmW3c3UmZzMqybujQRiYEU1kyjWbIxJS+Kqj19Rwape6mHtJ/4+POJj+/b/+j2PRVsMtv4uLYFrULkzOihCxXui7oyM3vW+qxxP762g7RxnUMejXU1XVZrPTEnaQ7PnPAMNo+Nk4efPORzHQyCIPDOFRP5ZlsNc0dGEW4Y+Pf3jLsfoGrPLmLTMtr9CQbCD/t+YG31Wi7NvpSU4BTcLi9bfipHo1eSc0ICgijweV0LGlHE4pU4fUvRgAs3DjkqPTjbtgoCuvcN8Xq9/Prrr9jtdubMmYNeP/Sh3UPKhR/D9k9gxIkQ3HMaA180aHsOx0Pi+IxIFq8qBeDvC7vmi5KcTsQe7qk7dt5KQ8OPbXPaBPjuOZrUEMRANZLFRdDcrtXPc3Jy2LnT5ySbGJNEwO+b0cb9xnNlTyADbpXAzclJJBsSqGytZMneJdw54c5u55AclMwLs18gvz6f0xJOY8+Ws1AqW4CNuN3XoVIFdemjEUVuSIrqNqeXLMtsNNt4t7qR58vrebK0lgStmgaXG60okqRTMy88mHNjQkk6wKKZmxiC3e2lsK4VW0QuGZWfIEtSvy1kfg4fh5xnRpKkLvuWixcv5vTTTyeym8KBBzJ8+HBiYmL45Zdf2pUXs9nMunXrejQd/tGIG5aFXVZjrdjOzPHT+FAu4eOSeu4c3XVlpVCKZEyOxeuWMDfYMYQdHoXN7fSg6KbAnMnjJVSloN7loczeu0/GUKPV9759YKqtITlnTL/GEgSB2cnHhkXmQBLD9Fx/Quqg+6vUGob18zM4mApLBXcuuxMZmU/3fsr2RdvZ+N0+tv5Sgdct0VxtZebFmWQbdDS2hXGfE3PklNkeOelx+PXvPgvGjO5rJ+Xn57N69WpkWWbr1q2HzSI8ZIQmw3E914Hajz5IzcxLsijaWEfunMRuf7P9ZUZ6JEv/fBySDCOiO3x8ZFmm6uZbsCxdSvj11xF1yy1d+jY1LUOhCMDrtdLQ8BNxcecCoDCoibljPJLVjTKsq3Kdnp7ObbfdhkKhoGq3iaVbTVxRXApKXzEMtVvmnLT5fFbgq1p+5aie/StlWWZS5ASmx0+nuXlNmyLjw27fh0o1sJw6giAwITiACcEBPJ7u5fN6I3ttDuI1KuxemUKbg5cq6nm2rI5bk6O5Kdln5RkVH4RCFMivMJKdMpHQysVUlxUSN7x/llI/h48BKTP33HMP8+fPJykpCYvFwvvvv8/vv//Ojz/+2N6mqKiI5cuX891333U7RmZmJo8//jhnnHEGgiBw66238ve//5309HSGDx/O/fffT1xcHAsXLjykN3asoFAqqVQmITbsZmJCCABfFzfyl1GJ3W41iaKAqFHQXG0lZUyHMugsLqbhuefRjR5F2JVXHlJOj7Id+4jP6KpM/TUllvv2VnFuTCg3Jw/SQ38A20EHEhKtZ96V2VQWtDBmbte5yd3UDGp2ewhVDi4y6HDRYtzA3sJHCAwaTWbGw0OSaXYoMDvNXUJcrS1ODCEaTA12Src2MPPiTBZGhaAWBdySzOlRIUM+D4dX4psGI1kGHdmGfmT4DU+Fc97stYnL5UKhUODxePB6vUMyT0+THdv2RnQjw1FFHT1LT9bUWLKmxvbdsB+kRXV1VHaXl2NZuhSAppdeJvKGGxCUncVCRPhM6ht8+cQiIzuXBhE1CkSN7zu+/L032fL914w9+XRmXHgZQHsk68Zvt6MPmUhh40jGjCgjTC6A057jwfS5XJSxkHhDPAGqAGSvhGT3oDB0WJzramv57dXnqdq1jeMuvIzoPCO+2BWJWmskOxrimNrVMNNvApQKLu5mW93q9fJ8WT1Pl9Wy0WzlzVHD0auVjIgOZGuFkZOOmwHLoXrXCr8ycwwwIGWmvr6eSy+9lJqaGoKDg8nJyeHHH39k7ty57W3eeOMNEhISmDeve6e2goICTKaOiqh33nknVquVa665BqPRyPTp0/nhhx/Qag8t4dOxhDEwndDWvYQGqAkOUFNa38pvzRZmhff/F1j78CM4du3C8uOPCCoVYYsWDXo+TZWVpJw2o8vxuRHBzB2Af0UXti+Br26CxIlw4SegHFiht/QJ0aRP6J8SdW9hJYurGpkZFsj7OSlDotDsWv4rLTVVjDvlDLSDdHguKvoHLlcj1dUfolaFkpra9wr8SJAVnsXCtIWsrl7NHeN9c8qZlUBlQQthcQGcfkse4FuxntJLUsdD5Z69lXxQ40sw9+WYNCYNgU9OXl4eRUVF2O12zjyz52Km/UWWZBoW78Db7MD8wz5i75+MIuDwOR7LHg8Nzz6Hu66WqNvvQBV9eEOtD0QRHoFoMCC1tm3ldfM7ys5+mgTTxRgMI7vdzgFw2qxs+OpTANZ/uYTRs04kJKZDCdMFqmiptSKhonHGK4RN8G0ZC/h83AAkp5f6F7bgqbfTmhLMtkYn2rRmNu9aA6jQK1Us/eR9bp71BHVbSvmxMpByTwClK9fy3tWTmZY2tNF6AQoFd6fEMi3EwCXbS7hm5z7eGj2cvMQQNpe1EBaVQ7UQjad8I3D1kF7bz8AZkDKzePHiPts89thjPPZYz5WCD05QJAgCDz/8MA8//PBApvKHwhuZRULLL0heL6Njg9hms3P/3irGBwcQ1EPEiEqrwOuRULQ5AcsOB6Jej2Sx4Gk+tCy7siwdlhBrVvwLDFFQ8jss/RvMf2JIhj3Y+dcry7xV3QjAb80Wfm4yH5oSBlTs3Mb3LzwNwNrPP+b2D3uvzNsTClGDpy3TrEp95Jyo+0IURB6Z9kinY1HJQVz2RNcq6YeTLWYb2QYtO1sdvFXVOCTKjE6n45JLLhmC2bXhlfA2dyTt9DY7+qXM7PhtKaVbNjJhwdnEpKb3+3LmH3+k6TVftXHzV1+TtWf3wOc8SBSGAJLefgvr8uUEn346gqLrfUEU1YSGTua5X/by4u+rOG98Ig8t6Ox3o1Rr0AUGtWcl1ho6W4FmXpzJlp/KiUkJYsSE7n3fXPtMeOp9RUsNJSYajG5arNvIizLyj6Q57JtxOrIo4nl7I0HbDOQ4VpADbA0azW97UoZcmdnPjLBAXh81nIu3lfBqRQN5icF8uKGcVqeHGsNIQpq3HZbr+hkYfq+lI0BAwmh0govq0t1kxgQSYJdocLu5buc+HG0J8Q4mJiWYsh1N7a+j/nIHivAwQs49l8ibB18Z+bASnAAtvvBjhk0fsmEPdv5VCAIj9B2Wu5zAQ98GsDQ1drw4BI/LjIyHCA8/jrTUu0hMuOyQ5/W/xnkxYexsdRCoEPl7+rFZw0tQKQiY7LMq6PMiUSf2nUfGVF/Ljy8/S+G6Vbz31z8P6Hqyw+GLchokXo+Ew9pL/qo+0GVnE3H99ajie86u7fZKPPfLXhxuibfXlLGprHP5BoVSyZn3PMS4UxZw0WP/RhPQOVovKELH8RdmkDG5w1qzpX4LnxZ+itPr889TRunZXx3SI8u0iBLx3iq8qgpKQxKQ2z6jF0dmoffsBoXvd59r3s5fTsoY9PvvD3PCg7g2MZLHSmoICNMiy7C90oQ7ZizDXHv7zPvk5/DjV2aOALHp4wCoL95CRkwgNS12nk9PZJWxlbPyi6jspuaSSqNot8oA6MePJ+Wzz4h9+KFuV08H0mBr4D9b/sPq6tVdzrkcHpQDzDrab07/D0z/M5z/PmQdQsXpgzDW1hAS3dlv4P3cFB5Ki2PFxEyiNYe+BZA6fjIxaSPQBhg466+DtxIGBKQxetTzJCdfMyRbX+bfyql5agOt62r6bvwH4PqkKDZNGcm2aaMIVx+7dW5DF6YR99AUws7vny+Eu4fkbf0h6OSTCZwzB21uDilffzWgvg6rm/cfXMvi21ewc0X3tdOGAqUoEBXYEZDQXUXzmNR0ph4/j9arr6PohJk4i3xh5V6vF6fT6cv95LUBUNhSyGU/XMaDax5kwRe+7O/KUC1R1+fSumA4W6fH8laQE116Pk3DXChKzSB1LDLiI09E9vrum9OizmovfXA4+WtKLCMCtDzR0IherWBrpZGQtMloBTdlu4+d5Jz/Xzl27yb/Q4THJNJCIM7qHWRk+0pCRLsFvhiTzhU7Spm6djfnx4ZxRnQoUw4wu1tNTkwNdrQGFRpd//9V96y8h3U1vgRTi+ctZmJsR2G9il0VxKYNjUNhFwKjYc4D7S9ramrQ6/UDqlvTEwc7/8Zq1FybOHS+BRq9nosefXrIxhsKvK0uzD/6LF3Gz4vQ50Yiao+9n2yLcQNORw1RUScjin3PL147MF+qQ+WXsl9YWr6UCzMvJCey/1Evoqb/n3V4QhLjTzuTks0bmH7+wLa8RJ2OhOeeHVCf/VTsasbc6NsS+/29ArJnHJ7aZYIg8MblE/hkYyUnj44lLqR7523jkiVIDgfe5mZKTj2NxI0beO211zCbTcyevROnazPDh99CkZyG1FYdu6q1Qwn7t6uVfzsaCTTZiAyoI3J4BSGSEk1hC8nO3dTpdVxc2cL37mFkBl8OKNnmgckeJyjblC2XFQq+h4QJvsixNkxOEy6vi0h971G2PaERRV4cmcysDXtIjdSTX27ksrOm4vlOpKlgDWm5Q2eN9jNwjr074/8ggihSrR6Gpmk36VGBCAIU1Jo5LzGJFRMzeaOqkcWVDbxT3cRbo4ZzUqRP+CdkhlK5pwV9oBqb2UXy6HACgvsO166yVBGlj6LeVs+Gug2dlJmmygrGnTz4Okr9Zf369e0RbVdccQVJSQNL8jUUvLu2jG0VRm6alU5S+DGee6QbBKUISgE8bSvSfhYPbFr8Bo0vv0zwggXE3HfvIc/D6vTw7bYachND2muM7cdk2sLmzb4cRlXVHzJu7PuHfL2hpNnRzB3L7sAje/i25FvyL8lHcRj8xQRB4PiLr+D4i4eu/lN/CIsLaM9FExByeHNvZcYEcf+pvZdfUMXF4W0rRRAwdUp7wIde34LT5asyXVr6LFOnbiLeEE9VaxV/m/I3wFfM8q3SKkK8XqwGgVTRt5WlEDy8Mvd2RMH3O1hZosYt/R21Qotb1uGRvfzy22vMLv8aWvb5FJgK32LOfcEvKBJHUuqq4aLvLsLqtvLEjCc4adhJSEioxIFZdUcEaDktMoTl+la2VhrR6g0UKYcjVm8a0Dh+hh7/NtMRojVoBOG2YnRqBcPCAyio9UUPGJQKbk6OJn9qNhODA3i6rBapzWcjKFzHyGlxDMuJYMTEaCp2NePtwcfmQK4cfSUtjhamxE7hmpxrOp2TJA8K5eFPCV9QUEB82x78Z599NuhxZEliMJs1+RVG7v9iB59squS4p34b9PWPJqJWSfiFWehyIoi8ZjSium8hLEsSDc8+i2Sx0PLf/2Jdt/6Q53H7x1u589NtnPjMcnZWmzqdM1t2tIefG43rDvlaQ43D48Aje472NA4b4fEGFt4+lhMuyuDihycf7ekQcs45RN91J1F33kniK6+05xpzufRIXt99R5CUKLfY+DjjLZaft5xzRpwD+O4ZoU11GFUaxjUWk+pppbBwEgK0KzIAGalexhYtIVC1l2GaDVwceTW/ba9hSUUYllYzUsV6JF0YLUV6ihZcQuGkyazM/7LdEnT3iruZ/9l8jvvwODbXbe40f3ddPZK1czbjg7k4LpyWAAU1Jgd1ZgdNIaOJNO8Yqo/QzyDxKzNHiuhs4r3VOOxWRkQbKKjrXPBNEATuSYllm8XOJ7Vdo5WUagVhcQG0HhBl0RNnjzibDRdt4NV5rw545TFUpKWlUVXlMx8fXG19IBjragiOGfi2mNk+eIfIYwndyHDCL8xCkxLSvw6CgCKiI4pKFXvota62V5lICPVtK3yVX93pXGTEbJRKnyUxK+sfh3ytoSbOEMdVo68i3hDPw1MfPixWmaNNXFoI2TPiUfZD2e0VhxnePRNemga1gxPOglJJ2KJF5M9O4onN/0QIFbjooos4adIs8lJeJuH1NOLuCqHx1S8w/3cvBT9s4Kofr+KX8l9QeASeyZf4aWUFc4y70IhuHNvPwGXREGJ0kbvdRFyNg4blwxBiPWxM2MmKEa9wX0wWCrOCHWTwL67lLV0Wor2Zln0GdLmjkd1uJv5jBcMb0smrmkOmYSRGp5FWdyuLfuhIcWH68kuKTjiBggkTcVVU9PgexwcHoA7xbZXmVxgREsaR5K3EYmrusY+fw49fmTlCBCfnoBQkqvZuJSMmqN0ycyBTQgycFR3K3YWV7Gy1dzmvD9Jgae6fo2F3N22H1Y16AH4AB+OursbbzwrlkydP5vLLL+emm24iNXXwWW+NdbVdnH/7w9TUcE7PjWNYuJ53r5zYd4f/EQRBIPHFFwm98EKS3n4bdV/be7IMrfW9RnCdOz6RyhY7MUFabp7dOeRYq41j6pTfmT59HXGxnQvueYxOPMajH+Vxy9hb+OGsHzgj/YyjPZUjjyzD1o9gw+vg7cNCtf0TKF0GdTvg5cGH7FdYKvjz73/m/T3vc/JnJxNdUkrALbfSeMr1SJvLka1m7GueB0C90ca62nXc+tutaGohQg5CbdXSYtHi8qowhe+i5Pt4MrfbiGhxk7W3lUiPndfnXcCnWSNZEaQnL0jRKXXDv2Na+YvmRFqsBuxbfUVmVdHzmLnnSo6vOI2Td03D7vHdX5NIo3CDr4yK6csv0eXmgiSx86prcEvd/yY0osjoyCA0OiX5FUaiMqciCjJl21cO+jPzc+j4fWaOEPEZ4+A7aC7NJzPlDBpbnTS1OrvU6HkqI5FCq4Nz84tZPGoYkw9wCFZpFbgdgzeZVxfWEDWss/Pb6uJGftldzwUTk0iL6jnnh+nLL6m+624AUr7+Ck1673k0BEEgOblrvZbBMJioIKVC5LkLBpf6/4+ONjOTmL/1M6X/kitg52eQdTqc+063SdNumZPOuRMSCA/QoO6m+KlSGYCSzqG4jmIjjYt3gCQTdlEW+tERsPENKPwRpt8GSZMG9d78DJCdn8HnbVvNu76CRb1ES2mDQer9/uKRZD6vbyFKreL4sA7/qXqLg9s/3oooCFw5W4mMjOSMwF5zDtdvq+CilAyGF3Xkz7Hqo6mzW9nZ8CmJgTqiW1P4dk01IiJZEfV4BS8ggCjjNAZCpNAurbwKJTWR8cSiZ5rXwfb4ETSZYgk17aRUuxG1R0t41QkUjDiBrD3/RetswRWZjdfiYbhaZERrLoqqy7AorHj3TWbpml1o9Sq0o0bT9OqrADwxdwH2/CK+Gtv9fS5eq6I8TMvWCiN3zBlPq6zDUrwWpp/e9//Ez2HBb5k5QgQGh1FDJJ7ane21UQpqLV3a6RUiH+amkhGg5Zz8Yqrawrabq63UFBkZltORGMru8lJYZ+mSiLAnyr//lujUlPbXRpuLy9/cwOKVpcx5elmv45i++RZtri8SpOL6P3Xbxuu1Y7bsQJYHllJecvXd3ulqZMPGs1m7bj5Wa8mAxvfTA/YWn7AD2P0VNO7tsWlssK5bRaYnHLuaUAT6tjib39vtc8z85s9Q+AO80X12cIBKSyXPbn6WjbUb+32t/09U7NzGRw/dzfovl/SvQ2ORT0kBn9WlN7LPgBPugXGXw1+Ku23yTFkdN+0u57ytxbxR2dB+/M1V+9heZWJZYQN/eqOek4adhNxyIsGKJFapYngm3pcl/ptpJ1CQNoV1E+5mp1ONpF/IrC1RjCpsBecSZGCPQyY+aSsgk7jPSoo5jgpjCLukYfzDfT73Rt7BpMafaBYDeajchMUVRqNezcgtv1AeamFa0WQM7jRaQjNZPeXvAPym3oKkNWP32lEJIrPME5nbML49/YW5yUHkzTdRcO8DfPSX2cwa+wUu4/IeP6pYjQopWMW2ShOICso0I9DW5ffrX+Ln8OBXZo4g9boU9C0FDAvXo1aKFNR1VWYAwtVK7h4eg1uWsXi9VO5pxuuRGDY6ot1KYXd5Ofm5Fcz793Ju/GBLn9fe99MWtLIFlbrDEtRic+P09O1QDKDLy8Wx1ZfpMuqO27uclyQ3GzeexYYNC9i46bx+K1imH/dR/bfVNL67q0ufA51/a6o/xmrdi9VayNp1c7sONEjq9plZ9kEB1UXGXtvJLheVN99C8YknDYlTbW/U1NTw6aefsm3bYc4sqgmCkAO2oYLihm7o4cF4TT5FPGheMnj758N02++38fr217n8x8spaC4YsvkcCvVlZpqqum4LHw2WvvYfqgv2sOL9tyhc249tjdFng1Lr+19fubT3tqICTrgbTnsGArrPpruz1U5OW02tf+2raz+uUYq42+4lcQYFT1m8LFGtJNrrcxhvjI7g5tse4F8XX8uOUTlENu4kpeRrNO4q9vv2Om2VyEg0B++mqjwPEBi54ycyS3+hpWYMJ7se4yWvz/Jhb/2I1OoHuE8zmx1rMthVGI2ldTLv/MvLqevd0HbnkGWZ8+c/QKXCTFNwPjtUP7G5aSk7WlbyXeWr1AtGdqepqA5XICiV5Jw2gRnDvyeNvfyFnjPZx2vVWAwKWp0eShpaMUfkkmDbhSz1737qZ+jxbzMdQWyhGaRUf4tSIZIeZejWMrMfc1vUkr3QROLw0C5hlzurTZQ2+rzuv91WwwsX9nxda3UD9voWgpI652UZFq7nnHEJfLOthtvnjeh1OyfiuuvQZmSgjI5GN3p01/dmK6XV6hM+ZnPfyhX4bjSW5ZUggGNnE46dTehGddxEjXU1hMT4BKxKFYok+fa5tZqhEbqSJPPtC1uxW9zsWFbFZU9M6zG8tXXFCiw//QRA+aJFfaacL7Y5KLE5mRUehGKA22SfffYZDQ0NbN++HYPBQEpKSt+dBoOogEXf+HJyZJ4MmkMvLbAf3agIIq/zWfI0w9osA8ff5bvWzL/22K+qtQqdUofdY2dP8x4ywvqR2dXW7Hsv2kPPZ3QwezfU8dPinQDMviyLzMlDm6NJstvxNjf3mn33kAhPhT/vAlkacK207jg/Nowrd5QSoBD5blzHFswV04dTbbQjCgIPJm+Db99kpCzxAyv4S9mNRKpqWB42lkXfvYvsbWb0rg3oZ/yF0WEpbGqxU2RcQURgIKHjnmNz1dj2cfVOmdaAOLaEXUmSW6YquIjQuPexKrUMr0vE1JpFrceXduE/eWexLnUaUYpCRpm3UabP5EsDhIoBqAUvCOAN0FNUtwPZ66Im2s0X0UXIzXq+eXcT/7lwDLPTtZT243MQAClIjUKALRVG0pInEln9DnXVpUQnDN5H0M/g8SszRxBV7Ciiq9/B1NJIRnQge3pRZlrdHpLq3SgT1d0K2LQoA8E6FSa7m7CAzjcpyeOl+IvVtFS0EBhlQBRFMi48gT3vvdOpnSAIPHVOLk+dk9vn3AWFgsA5c3o8r9Mlo9HE4HTWIor9y3chCAKqSB3uWl9WUFVcZ2FqqqslOdd3Y4uNPRunqwGvp5Xhw2/p1/h9IXklHNYOHwF7q7tHZUYxgMR/ZXYnczYUYJdkJgcH8EUP++494XA4UCqVeDweWlsPs0UgNBkmX3dYhm5XYvYz86+9KjIA1+RcwzObn2Fe8jxOT+2H/0HpCvjvWeB1wlW/QsK4Q5hxV8p3NxMSrcdYZ+OXt3YPqTLjNZkoOeMMPNU1RPzpeiJvvrnPPnOvvpHVS95neN54RkzuZ5I2xdDd5k+MCGbHtFFoRBGdosOwH6RV8eTZbfeRLZ0tilds/4rC8EC01hqcGg0lCftQhA5DEeZT0seFTuWhgFj+5DYzqeZ59mkSaHb6Fl7LcuYjBsxEENWcY5X5PP6/KNxqalWtaA01ZLemI8oSkuCby8pZo5DDxrGs1cqHy1s5AQVpXpkt3gR2KiuRlSosKVlMOXUMLe4tJG0Yi0KnYW99Kz9uriZHOZwRIx6ksfEXhiX3/LtodnsI16uJiDSwtcLIzEkzYA1U7VjhV2aOEn5l5ggSnpIHm6C6cBMZMWn8uLMWSZIRD0qGJssy3/5eRmSsnpGpod2OFaJX881N09leZWJWpu+H31xYRe16n3UkZf540g+oyt1aUoxuECHO/UWh0DBh/BeYzVsIC5veb6fd8EXZ2LbUo80IQxnWuVK6TIfzryiqSBne982+R2TZ9zggk7BSpWDiqcPJ/7mc7BlxRCT0bJnQjRtH9L334iwsIOL663u91BazDXtbJMRaU+85K7rjxBNP5JdffiEjI4PR3VjB/pdZlL2IS0Zegij0cwd8+8cQHA/NJfD6LHjQ1KWJ1+ukquo91OoIoqNPG5BD+bDR4exZ7SslceLVo/poPTBsGzbgqfaN3fjiS/1SZhKzczgvu/9ZjHtiq8XGDw0mzo4JJVWv7bvDAYSo+hAbo86GfavAUgOnPk1U8nJaPnkV47hmLJUGNg/3smd7A2O8LgSFbyEWITrZaBjBG9K9hCtquTTvM8qKx7I3OZwUoxK1BF6piQAnIFm54RcvllAv1ngX55mXYtep2K7PYGeYz8LVaAjgffNb1ElRZAeN4ULv74xp3c76kVcy7cQFJCcnM4+z+Tqomr8s2UpOTBBp60x8vXYrGZPGMefy3rM4l9pdxGtUZCWGkF9hJPKM0dQThrNsA3DZgD5PP0ODX5k5gsSn5eKWFZjLtpKROwary0uV0U5iWOfstO9uqaTG7OS28Qm9OjUlhunb+9as2YW1uomsi2Z2e7Ou2bCBpFNOGcq30wWnxcDyN8NQaQqYd+UotIa+c9woQ7UEzTrM2YFbyuCtU8FthYuWQHyHGXv8ycMYf/KwPocQBIGwSy7u1+WmhhgIUylodnu5KmHglXxHjRrFqFFDKzj/SPRbkQGIGwOb2yyOx9/VbZPSfc9RXr4YWXZjs5WQknIrsuylsPARLK27GTHifoICu/+8U8dEcf7fJqJQioREDW0WaU1mJoJajexyoTqCGbJtXolz84sxebz8u6yO8uNzUPdR6NLt9vk8qVTd/6aNRiPbtm0jPT2d2NhYOOMlABpcbr6ZdypxmZ+TYN2Bt8pBXlEYjy4wcULLJ+TaJ/F1ghZbSDSLCh5klLeY243X89Lui7kofikfB55P5maf9VQlRvCwqQ7TuijC6wVkuZo1OYXMiltLelATHhFybJ/TrA8DoExIZnVYDjGKX4lSfU2MBlJrH0ZI7lAaT8uN45TRsWz7tYI1RcVIHpmCdbXMubz3TMcWjxeNKJKXFMJnW6pwuL1UBmQT1OSvoH208CszRxC1Rss+RTzU725PC7+n1tJJmfm0tpm7TU2cNyOWsQZ9e+VsQRDQqSUikoPxuDzs/XwNggD6sACixmfQXFBF9mU9O8a6XQ40hr6r/x4KW5aWY25yYDO5+OjR9Sx6fPC5Kgab+bdbtn0EDhM4TfDazG5X70NJlEbFqklZ1DrdZBm6r2HjZ4gYdzkERPqcXNO7//7bbWXo9cOxWguprv6YlJRbaWpeQWXVuwBs2LCA2bO6j94BCI8bOl+iA1EnJDDsk49xFu4l8MSeI7yGGpPHg8nTEUHokGTUvegyVVVVvPOOT2G84ooriIqKwinJaA/YZnrvvfdoaGjg119/5dZbbyUkJASAi7aWsK3VznNyDTHb9ET/6mZcuppTzAuojQnjjZGx7IyO4sSmVUzx+nyTXlX/m0sMd1EhB2AsMWIRAwiUBMKUZeTqWtjmimRlpprvxwsk19bQWjWSidl7MAQ7+YfuFnbLI1lZ0sD2cTOIiYSr9vyIbBcAGUFyY/Z4cTs8vL16H6MTQpiTFYUuSkIUBSRkpp2d1udnODs8iHv3VnJ3SjJeSWZHlQl39Bgyil/F6/GgUPpF65HG/4kfYZoC0gg0FRITpCVIq6SwzsLckdEALG+2cPOecs6NCeOfmYkoBIHQGF/+Dm9rK3XfL2dvfiCy10vm+ccjKAS2v/UrzR+vJO3UofEVMDlN7GzcybiYcWgUA6v1otIo8Dh9N8ngqEMT4i21Hc6/h0xIsk+RAV/xuSNAqEpJaF/m+INw19tofGsnglIg4vJRKEMHZv4/VnC4vXy7rYbM2ECy44beKbcTggBZvWeYTki4mK3brkWrTWT8uI/auh0btz5tRgbajH44OQ8Qm9vGXuNessOzUR5U/DNWo+a8mDA+rm3m5uRogvqoOJ2fn49Wq8VkMvHSSy+xdcFFrDNaeSgtnqsTI5Flmaampvb2dXV1hISEIMkyO612ROAHTuUq+7uIKJlWWIlK7SU8YRj1eg2Rra1UazoHJ9w8ZQ8eyUOt/TdKWoP5c+MqotQFfJSSS+z51byh1eJQC5TGNbJ4TymVjWG4hptQWVyMC9xIU7iSUvNn7Aucx4njXqVw1ak0BaVw5ogHKFixnZn7nKwrbCSZGpLDP6a6VaA2eAaLLr6CYRl933fGBOnxyiAHKtGqRPIrjExJnUxAyXOUFm5h+Mgjc5/x08Gx8Yv+f4QrPIP0fetAlsmMCWp3Aq5yuLhm5z6OCw3kX22KzIHY1q4l9uz5xB10PPfKzqtRY52N71/ZjlIlcvKfcggI1vhCnvsRKu32urng2wuosFQQqgnl9/N+H5DJf9xJyTjtHlQaBVMWHJoTnKm+lmG5Y/tuuB9Zhs+vhYIfYO5DMP7yjnM554LHDs5WmHhNz2McZVrXVINXwtPsovYfG0h4YkafffbWWXjyxwJGxwdz06y0QSUYHGr218QC+PjaKUwcHnZU5xMaOpnjZmxEEBQIbd/nsNBpDEv+E62te0hNu/Oozq9PNr8L61/1fafH913I0u11c/6351NqKiUrLIuPTv2oy/fi2awk/pWRiLKb4qU2lwe9ukM0REZGsmHDBgCScvJ42ejzA7u/qIqrEyMRBIGpU6eycuVKsrKyGDFiBACiIHBRbDhr1m4kq0JPzqXf0lL9HJaSEpYlykx1aLm2ROKx0UEIxhDKPXcSQimtnoWEhe5hX9lLnDNiE6N2mYlSufilIRfNJIG3LBfiVH0J+CI+Za8CoVCDMSKQkOEWbF741bJ/O0zErAxgW1Ygq4IT8LjbfNlqTKREBHCf8R2iWksYgQVBAWu3pCF657J08S5CY/ScelMu6m4q1afpfQu9MqebUXHB5FcYOf/UqUg/CTTsXuVXZo4CfmXmCKOLzyFon5X6mjJGxBhYX+qr5/F4SQ0qUeDlkcndhvJ6TSZkpxNZraSk9BlcrgbSUv+CWt3ZJ2PrLxU4bR6ajU7ee2At1zxzPPbKCjRRUV3GPJiK1goqLL6aJC3OFiRZ6lBmqrfAlvdg1FmQ3H3VbY1excyLMgfycfTKgARz3U7fdhLAN7d2VmYEAcZdNmTzOlwogtR4W32+CdqR4X209vHg1zvZWW1m6a46lAqBP53QvYlclmWQZATFAPxRBsm2ShNZsUHsrjHz37VlR12ZAZ8D+YEIgkBqatd8Scccbjt8ext4Xb6kg6mzIHRYr11KzaWUmnwBxrube04h0J0i8+BXO3lr9T4W5MXx7Pm+DNrjx49HrVYjiiIxQU72rP6WTyOOR23viAScM2cOxx13HGp158jKRyP0FP37YXA4qPjvYrL27OaDDz5AMpv5pGYNhu2F3LLBhuj18O9Rl5BqncwSXFy9YQwTPk5DFR5CZNyvVK4KI766geX6GRS6hzNMPYZ9ExPJkDX81rAFlc0JP4HK4KJ5Uh1CUCImw1loZXjY+Rr14QGMEHfxsPoOLuJTpievYt2usWjVVhwKN3hAh4PjjjuO9R+VYwjTUFNs4qfXd3LqjV2jPQMUCkTA7pXISwzhx121GIJCKVUkIVf5K2gfDfxJ844wUWk+a0Nt4SYyYoIoabCy22Lj07oWbh8WQ/BBWxOSy4WrosLnQ6JWU1f/DWVlL1NTs4QVK7umhNcGqnBafQIxLj0EgJr1a4mdPLXPuSUGJpIS7AuXHBY0rEORkSR4/zzY8Bq8eRKYq3sZ5fDhdPZS50cfDuIfWzcPnJ5A0KwkgucPI/yirH71cXkktG3bBJYeSl3Ibi8NL26l6m+rsW6q67bNgbR6vJjcgy+bcc74BHbXmAnSKnno9OxBj+MHEEQ4UBHrR+HY5KBkYgN8kYshmpB+X8rp8fL2mn0AfJlfzcZ9voWWKIrk5eWRkxRK1Lun8I89T/LzI5fz2V3XU/f44+39D1ZkADzV1eDoXBw3Pj6empoaPIKH3cfLNAzzMuf0LK4S/0Wz7itcyNheex3RLLG9eBuXBaXwzjAdMsBeNf9a9iKnlXuojzyLFVGn8sylHaU7okY5mJHWijriGqLV2dgVOnYa4hHaHJw9kpK/yX/lstj/8sKs21meoaZeIbE0NI70Gz8hLi4OQ6gGY50vXURCZvfRpLIss9/WnZsYQkWznaZWJw1B2USYtvf7M/czdPyx7/5/QGKS0rHJGmxV28mcPguPJPNWQS2BSpELYjuvYO1bt2LbsgVdTi7BJ5+MIIp4vTYEQYksd59Rdey8ZLxuCaVawbj5vtpITpsNfUj3P8oDUYkq3j/lfQqaCxgdOfoAZcYNto49cVrrDylbrLO0FOuKFQSeeBKq6K4Wo+6cf7/44gvy8/MZO3Ysp5/eTf6RoFi44EMo+rnXrSTJ66VmbwERSclo9AE9tjtc7Ct7hdraz0lOvo7YmIWdzgkqkaDZnaNavBYLps8/RztqFPqxXbfd7jk5i4e+3sWckVHcMa973wtHsQlXhW87s+WTQgLGRfc4v12tdhZs3ovFK/FRbmqn+jv7aW1tZe3atcTFxTFyZNeoj6tmpHBKTiyhejVaVf8rOZfkN7BqyV4SMkI54eLMflvmNreFv48NPvL/z8OOUgNnvQYb34Sxl/jC0PtAo9Dw4akfsqNxBxNjJvb7c1QrRJLC9JQ1+QT5sIiDPs/GAvA6aTFGYG3SosBD89vvEH3PPXgkma8ajMRrVEw6oJ6cNisL3dix2DdvJuLmmwCYPn064eHhrLWs5auCr5AzZP5avJJQSSLePZ0rCEQafwXl2z/l+ZM8tBiM7J4s0hRxIjnFsYQ4f8EcEIgoSUj7o7BiElCOH8eI1HVIRalc0RzCQ6NUCMAHrlmoKGVhiJLk5LsI3HoldkAUZL6V3Pw3LoarMi9iboTvXjT9nHQCQjSERuvJnNJ9OosGlwcZiFQrGZXoC+DYWmkkIH48yTt+wNZqQm84zP5ifjrhV2aOMKJCQYVqGIqG3YyI8gmKX8qaOGlkFJoDwiNd5eXYNm8h9PzzELTa9htSTPTpNDX9jsvZwMiRT3UZX6VRMPXM3r3xX19RwrLCBm6enc6EYZ0VqABVAGOjDxKaSo0vzfmq52HcpRCXN4h37kNyOim76GK8zc3UPfY4mdu3IRwU7tlSW01IbMdN22azkZ+fD8DmzZuZNm0a4eHdbMOkz+0xomU/P7z0DLtX/AbAnxZ/gK4fEV6yJNP8wR6cJSZCTk9FnxvZZ5/ucDrrKS5+EoBdu24nKnI+ij6crGvu/xuWH34AIOnNNwiY0nmLb2xSKF/e0HvUmDJM60tZ2ovbVL3ZQUWLjZ88DlSiAF44b2sxtTPzurT95ptvKCwsRJIkzjrrrG5z4cQGD9wBfPVnRTjtHnatqiEszkDu7MQ++3zfYOTyHfsAuD81jhuS+t5OPVZptDfy0JqH0Cq0PDDlAQzqNqUg8xTkjJPZarGT6PIQru77th2mDeO4hOMGdH1BEHj3ikl8va2auSOjiTigCK4keVn6/QZCW09nm24u8Y++jL6+iYiXffelp/bV8myZz+r34shkzoz2LZ4EpZLk/76L1NqKIsiX90oURbKzs6ktr0Uu8H0pvW36ls07C0EHol2LPf1c3MonOWeZl9PXeSmJ20Rx+t1URgRzwua1LDvxFJqGpTInPJB/n3EdHhlKbdO4Y1cTMcCsulYmzwvEKWh5jRt4ZGwejmIjcb/fiiVqMzSnszD9beIad3De949D9pVgiEQboGLKwt59/upcvsXkj41mjkuPJzxATX65kQUZU1DulCjcsYaRk08a0Ofv59DwbzMdBUyB6YS2FhGsVxETrKWu0cbE4M7hn6rERLRZmZi++hrH1q3tx5VKA7k5rzJhwucEBPQdQngwRfWt/P3b3azY28g5L6/pf8fj/gL3lMO8v3c5VV1dzeeff86ePXv6HMbT0Ii3ubn9tdTN1pGpvo7gqA7rgUajITCwQ+kwGAYfKlu8cR3aAF//3St+B+DdXe9y8683s7upe/8CV7kZ+/ZGJKub5g/6fo89IYqqTlE0+xVUt9vNpk2bKC8v79LHWbQX9fDhAJi/+25Q11VF6Ym4LJugecnE3j+5y/k6s4M5Ty/jrJfWsO73cprdvoi0s6O7t+aZTCbCwnxKcGlpf5K/9w+NXoXT5tveCgzvXyTXKmMrcRqfMvxI8dHZ/uwN2S3hLDcj96MG2ps73iS/Pp8f9v3ABd9e0Onck6W1nLSpkOxVO9hn72W7FZBkmYeKqjhzSxH5ZtuA5psUrueGmWntxXD3U7FzB/tKfmJD6zzCRnwKCglPugfzCz6Fc6vZxtggn4XiX6W1nfoKotiuyBzIzMSZ3DzmZs5KPwvVhGshIAp1hAfZV7WEao+LybtTOGmjG68oklJdh9e5hLsut3HX5W4apUdZNTkLhSAS0hYK/aHCRcgZaejHRxNz+3hmhBoQgYfSfJZk2elF6QohtHIWobZEbisv4HxJ57MEb32/35/TKIOOR9Pj+bK+hct2lDI6IZj8ShPJWeOxy2rMRWv7PZafocGvzBwFpMgsEj3leD0eEiICoNXT7h2/H0EQCJg8GUVkBObvv6do1mxMX3014Gs5qqtRhXYIJamfBSAHwieffMLWrVv58MMPqa7uXaCo4uMION63Ygw591wU3SkmstzJNK5QKFi0aBGzZ8/mpptuQqMZWMj4gQzLGYPD6isRkDl1BgXNBTy54Ul+q/iNc785t9s+YkDffgr9QaUKJXvkv4iMmMuYMf9FFH0+Bt9//z1ff/01b7zxBoWFhZ36hF10Ea59+9CkpxN9zz2DvrY2I4ygWUkounkvm8paMLf52+TvbeLd0cN5NXsYz2V1n8ht+vTpmM1mhg0bxvz58wc9p4OZvSiLjEkxzF6URUpe/6xfJ4YHU+v0rZJfHpnc5bzJZOKLL75g5cqV/S5+ejCF61bx8UP3sGv5rwPqJ8syDa9to+HFrdQ+vQlZ6v36AgL7PTEODqf+vtFEtsGn4D1WUtPrOKuNrbxU0cBqYysnbSrste3B2Hc2YVleieTsXMne6v2JtNPKEcSluFqrUKhbAAgO8TkJnxcbRr7ZhkYU+CC3f7XEREHk6pyreXDUtQSvewWs9YRZroOTo9k4tgF37FaiGmtxawwo9hdwHJ+AVmmgLlTA4m7l6+KvuTQ+nGClguE6NasnZWGYFEvY2SPQRuj4ODeVkuNySNCqGbd6J3fKrWhywlFG6Yi8NgfS54G1rfp37gU9T/YgBEHgyoRI3s9NZaPJRpkGtlYYUShV7FOno67d3O+x/AwN/m2mo4AhKQdNoZvykh0kROhZX20kuJtcD7bNWxAUSprf9iWsqr7zLoK78xfphbr1a4md2rENMSI6kD/PGcGywnpumzvw/BauSgvmn8vRpIUQON23FWS329vP91VLSBAEEl9+GW9LC8qw/ke5REREMGNG36HKPeGSJK7fVcbuiafw10nHMWv0KPRBwTgbulpDDkYVqSfswkycpSYCZyQMeg4A0dGnEh19aqdjtbW1xMXFUV1dzcaNG9tDWwFCL7iAoFNPRdTrERT99z8ZCGOTQgnUKLE4PczJimZuRO97/dnZ2WRnD71jb1hsAHMu6z3z6sHMCAtkzWSfs3Syrk3JbSmDH/9KsRjI8rV6anQ6XCoVLpeLWbNmDWh8r8fDDy/8G7fTQcWu7cSNyCKkn2VBJIsbV7nPV8nb7MBrdqHsofYXwOWjLqfaWo1WoeXeyfd2OndcaCCvVjagdLu4pY+tNHGQ6SadZWaa3t0FgOX3CuL+1rGl6Rb3gjMJe1MztRt9iuboE84kK8uXdfmM6FCmhxrQK0QCBvo9ddt8hTABUbCztHgVFRUVSJJERHwMoZERCA0uXCEn4G6uYV7jPAoCylG5g/n7r0+w+sqTWTW5e4d5QRDQKgQeK67BIcl8Ut9CxrRYbkxu+54lvQBjLoboUaAfeNTdlBADL45M4sr6PajtbkobrZjCckiu+3nAY/k5NPzKzFEgbsQ4+Bkai7eQFHkcot2L1emBg4wUyvAwXOXlvtDifq4qi4qKaGpqYsyYMajVaqwWM8lRnR0+b5mTzi1zBlb8cD8tn+7FXW/DsacZhUGFPi+KefPm8fvvv5OdnU1sRBj5P31HytgJBEV0v7oWBKFHRUaWJN/7HSBrS5qwuTzMzIjq1uHx92YL3zb4EuddRQC1QT6BPTpiNJeMvISNtRu5bfxtPY6vz4lEnzM4X5m+GDt2LN988w0Gg4GFCxd2Oa8IPLyZm2OCtSy97XjKmqxdfKhaWwtRq8NRq/sXKn40aFdi9vPrI7xZV8iuIhXD3TloAJdKRfMB25v9R0Y+wNlI7s3x6CBEgwpltB5PW2SMIrB3C1+4LpynT3i623MPpMWRueYnar79lPVr0ll/Zg5njjgThbuWuvrviIk+rX3beUpIALckR7PVbOO+1P7XY/M0dixKJFvnaLbIyHk01P+CypCGu1VF1eoYzrj6VgShQ3GJVA/SghmeClNvht1fw8x7sa9sQK/X09raygztZlINuyEM7kyexG+BY5i1exvTSi5AkBVMKj8NruwYqrXFScXuJpJHRaAP6oiuClMpKWnbnks90AquUMHwgfkWHcz8yBBOTo3k501NbCxvITV5ArF1H9BYW0FETN9+X36GBr8ycxQIi4qniWCc1TsZPcuXvTS/2sT48M5CS52cjDo5GUQB0+efE3nj7TS+swtRoyBkYRqipvMKqKqqiv/+978ArFixgjvuuKPfc/q57Gf2NO/hoqyLCNX2HPkkeyUEhYjs9baboseOHcvYsWORJYk3b7uOlppqflkMN731MWrdwOrZtNRWEzrAzL+/FdRz+Zu+pF4XTEzk8TO7FuIL6SHLqSAI3Dnh6CZNGz9+PFlZWWg0GpRHKQ16TLCWmODOfirlFW+yd6/PR2rSxO8wGIY+U+3hoK45EPbcT6z5c5pidaDREVddw4J77+2780EolCpOvPZmtvzwDaNmzR3Qd1MQBaKuzcG5z4wmJfiQcvwoBIGGpd/6LLW79rJctYan45/mhRQdbncT+/b9h+OP24pSaUAQBO5JGXhRWV1WGJYoHZ5mJ+EXdM4XFRd7NsFBY8gZYacsv4C0iVPQ6IewVtW8R3wPYLamgO+++47Ro0eT1bCUr8VMYptLmdP6De8Me5TvR0VwbZW5vevOags5CSFIXonP/7UJc6MvFPy6509AofJ95s9kJfJieT1TQwzMjwwZunm3cWdGPD/pi/iisJ5/TpkO66Fyx0oiYvq/deXn0PArM0eJGs1wtM27yU0IAQHWV7Rw1ejutzB02dnox47DtsWBq6weyerBXWsl+pbOUUeNjY3tz/va7jmQ3U27+fPvfwbglW2vsH2RL0+Cx+1mxftv4bLbOO7iK9AZAgk5LRXTD/vQpoUQMDGm0zguh4OWmg6fGWNdLVHD+rd/vh9TXS3D8gZWmmFLuZFgnQqT3c0H6yu6VWYmhhh4fEQCOy12bh3Wc2jy0SIg4NgLK26o/5Hg4HGYTJvYvftuJkz4vP1ci6OFels9I0JHHNWsw65KC9aNdehzItCkhABgbD6HucFe1oVOY7uiDBQKrJkZPRZJ7IvMaceTOe34QfUV9Sp0/UyA2BtVhS14vcHIXl/EUGOwz8rgdnekTHC7TSiVg3eOF/Uqom8d50uuqOyqeAUEpBIQAFFJh7cIakZGBhltJR6e/eoLXm/Jh9hotMFT0Mh2HCFa6vQQbYMVWjfFq/fx9Ll52Fvd7YoMgL3VhaGtJEiqXsu/Mg9fMc8RAVoiIvVsqzQSmzSGJoKxl64D/MrMkcLvAHyUaA3NJta6B51CJCBMy8aSlh7buqtrUMXF9hpaC5Cenk5YWBiCIHD22Wfjqq9HEdg1iuBgaqzdOxTu+PUn8n/8hh2/LeW1P/ky6mrTQ4m+aQzB84d3EWIavZ6MKT6/lmG5Y4lMHt7ntbtjoMLxxOxoXG3RIi9e1HMJhMvjI/hnZiIJ2q7Jvfx0JTR0MiaTL5tpWlpHRep6Wz2nfXEaZ399Nn9f2zW6bTDYzCYkr7fvhgcgSzKNb+/CuraGhle34zH6BJneLOGRJURR2Z4ryTPAsY81WmqsaAIXoNROQx14EckNLu5tbCbLPQ4QSEy4DJ2u7xw0fSGIQreKzJFAkiTy8/PZtWtXu7P2bl0AOaE+xcZg/YjXWcTS7FYiTk7g38F21uk83D3fZ0XSB6lJHOnbJk3IDCUguH+BAkUtRdz4y428kP/CoJ3EAXITg2ltcWD1SFTosgjwV9A+ovgtM0cJ3YjjiKl9j/KibUzOiOTntRWUGG2khHQ13UqtFrxGI4EnJOIxOhHVIiFndPV50ev13HDDDXg8HjQaDRXffE30xK5Zgg9mStwUxkSNYU/zHh6d/mj7cbfLiahQInm9uJ2OXkbo4JRb7uT4S67EEBbeRSkpyW9g43f7SB0bybiThvVrvP6QHRfM6rtn4fZKRAUNbXFGj8mJqFMiqnt3ajQ31tNSXU3iqNGI4sAcID2Sh0Z7I9H66G4VOUdrKxq9vj2L6aCxNUPVJkieBuq+twiGD7+Z4OBxaLVxBAR05N3YVLcJU1vhzo8LP+b+Kff3NES/2Pj1Zyz77xuExsZxyT+eQ6Xp5/9QlpFsHckjJYsbQrRoU4Jx7Kkna8t6DLoGmk89hdPO7T5S7VjH7vJy7+fbMbU4mBYQiEMeT1L5UgLcfyM6bAux5peJeaChS7mGTnhc8PGlUJMPpz0HI45che79eL0OjKaNBAflolR27wO2du1afvrpJ8AXMTdnzhwWpi3krhV3oRGV3BTjQcRL0Y7LuHlOMafmxhEdpCVA4xNjgiBw6o25mBvtBEfoELop19AdT2x4gsLmQpZVLkMpKLk299oubWSPhGNvC6pYQ49O3Mclh/PbygpWVhoJCUwmtnF1v67vZ2jwW2aOEiMmnYJN1lC18n3ump6KgMBtP3af5yTwpJOwbdwIko2IS0cSdn5mF3+Z/SgUivbQZUtLE8Gxnff41xhbOXtLES+V17cf0yl1vDP/HdZduI65yR1J50bPnEfiyFHEZYzkqudf73Kt1tYCVq6axurVM7HbfTWdBEEgMDyieyfc9wtoKLew9osSync2dTkvy/KgnH8BQgPUQ67ItK6tofbx9VQ/tAavqefcHq0tzbx9x40sefQ+ljxy34Cu4ZE8LPp+EXOXzOXBNQ92Ob/m0w944crz+eCBO/tluZDkHvKZeN3w+mx472z45whcXg9f1LWw3dJzHhJBEAkPn9FJkQGf07RW4fusp8Z1UyZDluHnh+DdM6C279TuW3/+npCYWFpqqln+3lt9tm+fn0IkaG4ygk6J4bgE1Ik+IRl+8UiUwTuhYhUJO3Yw/sOP0A+lf8cR5PMtVXy1tZpf9jXxnm0vM1b9hYaoPNxKHbvs89iqvqF3RQag5Dco/B4sNfD+OYOah7PcjPn3CrwWV5dz9bZ6NtRu6Pm7B2zbdg35+YtYtjwPj8fabZv6+vr2ZJgrV64E4KThJ/Hbub/x+bzHCBZ839WwFheseJqUSEO7IrMfURQIidL3W5EB329QpfB9hnaPvds2LZ/tpentXdQ+sR5PU/dtMtoyJpe22JD1YQRJpn7Pwc+h41dmjhK6gEC2R8wnvfwjkvUCY0ZHsWVrLb9WdI24EAQB/fjxOEtKBnydg5WKO/ZUsMbUykPF1XzbYOy1rdZg4Mx7HuKCh58kOKqzfwxAZdX7gIDdUc7qNSf0OReFomN8pbrrV89UV9vtdY4Wts11qJMCwSvT/HFBj+1qiwpx2X032opdA6vLUmwsZlujzxz92d7PupzP//FbdIFB1BTuYdO3X/Q61ps73mTsu2O57ffbuprLjeXQ3Pb9cVl4tGAf1+0qY+7GQpY1WwY054TABD47/TNenvMyL85+sWuDfStg5dNQ/Cu8PL3P8SKTh2Os9W11DtQ3JeiEROIfmELIyR1bmqJGgSJQRtD5shC79u0b0JjHEqLQsbtcHBJP/F23oQ5Q41X5BGfQSTf2PUhARN9tesFrcdHw6nbMP+yj5tF1nc412hs548szuOLHK7j+5+u77S9JHppbVrW/NhrXd9suLy8Ps9mMRqPhxhs73leYNozE6PnkCHPJKvaQu90Mvzx0SO/pQO4YfwdxAXFckHkBN425qds2zmITilDfIrF1XW23bSLakjeaXG4ETRB6uXulx8/hwb/NdBSJmXsLER9+wdrP/80rC+5galEz176/mdW3HEfkQX4dzoICtFn9Kz7YGxJyexYKbz+2h2tMdl5dXkJeYggL8jrvyWu1cbhcPqdjwTGDpupWwuN6dkCcc9lINv9UTkpeBHHpXSOmWmqrGZYzpt/vpS9qa2t57733UKlUXHrppYSEhAyovzohkNbVPofmwON6zi8TNyITXWAQdouZEVP6zoUjSTLrvizG3Ogg57RogjXB7ds2BxORmET5Dp+y05dj9GvbXkMpKllatpRvSr7htNTTOk6GJENUNtTvhPB0Nlg9jAvSs8ls48Xy+m5rMPVGYlAiiUE9hJ32skLvjhOvu5Wk7Fxi0kYQkzq4lAEHE3rBBdg2bACvRPzT/xqSMY8GC8fEs7XSRFOrk4cWZBMWrGP+HCubfywjPiOUlHH9iFqKHwcLXoDqfJj+5wHPwWt0Qg8ZjHc07sDs8kUWra7ufltFFJWEhx1HU/NywOeL1R3Dhg3jL3/5C4IgdOusHZl6GSz/2Pdi5sAsoL0xKmIU7578bq9tdKPCaV3Vdi+Y0b1vUp3dZ7UK1arA48AhqBl8ek8/A0WQD8Xj6RjBbDYTHByMyWQiqJu02ccy6/5zOTkN39Bw0VJ2CHH86Y0NJGRHsOyiiSgOsJS4ysrwNDWjH9tZ2Lscdnav+J3o4anEpHUkW3M3NVGy/Dcyzji7U/uVLRaeKq1ldngQNyf3HdWz6I31rCpqxCPJPHt+XieFxtVYx+4l11FX4WFv4w14lRI3PHsiih7CoPuidMtGho8ZP6i+3fH1119TVFSEyWRCEAQeeOCBAfWXPRL2HY0oI3SoE3oX9jazCVN9LTGpfUf3FG+u54dXd7S/PvXJVDbUbmBu8lyCNZ0T1tnMJnav+I2ErFFEp/RevuLcr89ld7Nvq/Kz0z8jPfQgxcBlhdodED+WN2qM/HVvFUoB1k8eSdxQOkVLEiy9H2q2+spfHEItr2MNy/JK7NsbCZyZ2GeUksPhoKKiguTk5G4rSv9RkL0yjYu34ywxEXTSMIJO6FBim+xNLPxyIUankRMSTuD52c93O4YkOTGZ8gkMzD6kiCsa9/q+x0f4OyXLMu5qK8pwLaK2exvAq1sreOyDbSy+fjIB39xFbNMakv+284jO84/IUMlvv2XmKDP6smdo/NdaHB9fzby7VrFwajKfry7jtjVFPDu1Qxh5W1pwlZV1UWaWvvof9qxaBsB5Dz5BQpYvbLJhw3oix3ZdyU8PDWR6aP9X4Q0WJ7EhWiqa7WytMHVSZppffBXN19UkWsyI0U+wcuYJvPBiEX/6058OS74Ut9uEQqFFFPu33gkODm4PUR81yve5eNxeGsosRCYHouyjorOgFNHn9a9woT4oGH1Q/6rkeg9a5SYHJZMc1DUV//5xx52ysF/jPn3C03y29zOmx0/vqsgAqAMgyecQfkVCJPMigglVKQaesbUvRBFOfLTvdn8wPEYHpu98taia3tlF/OPTe1RcJUnizTffpK6uDkEQuO+++1AcpgzOhxtBIRBx9Whkt9TFET5cF87nCz6nwlJBbmRuj2OIoobQ0L6DEfokouv3WpZl6i1OIgwaFN34ylQZ7YTqVej7UaCzJwRBQB3fuxK2rLQJRIHp8SHsNe+lSTec7n/Vfg4Hfp+Zo4zeEIztlBdIcRex4d37+OfJI4mLCuDzpcW8VdbhpKseNgxBqcC2cSPWdeuxb93q+xHvKyEs3rdS2rmso3aMqbGe0MRD/yndPDsdq9PL7MwojhsRwedbKvF4fcLYaza3O/3pnU4Er5fm5ma2bRt4SGJfBsK6um9ZsXICK1dNw+ms77XtfqZOncoJJ5zASSedxBlnnIEsy3z1TD6f/XMzb929Cq93YNshQ0XqmChGTIwmJiWY8++fOGTjJgQmcPPYm7tWPe+pvVbdvSLjdkDFevD0XtDwSCNLEqb6ukMKnz0UBEGgv5UCrFYrdXW+nDCyLGOx9OyXtGzZMl588UV27NjRY5ujjSAIPUb0RegiGBM1pj0M/kjz0Ne7mPTYLyx8YRXeg+pfvb16H9Oe+JXch36izty/iMzBsqWoidBoPUpkEpxFOMP+GEkm/1fwKzPHABnjZ7Ex8XImlL1G6baVvH/xeNRumfu/2skblQ3IsowiJISgk05CO3Ikurxc3DW1yA4HObNPormqgqDIaGYuuqp9TFmWDz2UFzhpVAwb7pnN2XHh3LR4I3/+aCuL3vQ58HlNRjw2K8bgMHaecAZym2BMTU3tbchusTQ2EBTZsxWkuvojAgNH43a3sCX/0n6NqVQqmTFjBpMnT0YURZxWDzXFPt8Up9WDqf7oOOgpVCJzr8jmrDvHEd7Hau+II8vwzumweC48kwNeT999jgCyLPPZEw/y+k1X8sWTD/eo0LjsHn54dQdfP5dPa0vvwsvqtvLPDf/k5a0v45H6fp+KYA0hC9PQpIUQceWoXrcTDQYD8fHx7c8DeyhJYTQa+e2336ivr2fJkiVIUs8KttNZh9Va1Oc8D5WyHU18+uQmtvzUd92yw4XT1YjN1r+K7O+vL0ejFNleZeKbbZ0L3X62uZK8xBDcXpk7l3S/yDKZTPz+++/dVq3vL1+XNGBrdHB6Xhx7t/xOCK2Ejjpx0OP5GTh+ZeYYYdylj1OqTEH99fXEBsAjp2ejqLJx36oiHi72/UAFlQpRr0fUaDDMmol9yxYyQyO5/rX3uOKZV3osHVBT8ynrNyygquqDXuewu9VOobWrAPj9vT2UfLaP68xaQr0Cq4p8YdVWSxFNdysoujKGScJwZrizONc5hRa1lnJ711W9LMs8sf4JTvr0JL4r+a7TuebqSkLjek76ZTBkYjZvBSA56Zpe30dPaAKURCZ1CJXgSN2gxtmPy+Fh2QcFLPugAJejZ2Holf5ACdusjVDRFrHSWgumoyfQDsTa0sy+rb5KxCWbN2AzGbttt2tVNfu2N1K+q5m37+k9z8er217l48KPeSH/Be5c3r+SFoZJsUReNRptNw7sByIIAosWLeLyyy/n1ltv7XGLSaFQ9CtJZGtrIavXzGLtuhPZt+/lPtvLssya6jVsqN3QZ9uD+e2/e6gtMbH6s6JuUygcbqzWYtasmcmatXMoK3ulz/bZcUE427ZuJw7vXFssLzGE/AojANcc13028k8++YTff/+dN954g5qa3iuSd4csyzzw3S5EnYK7pqRiXrWYOsJJHzewoqZ+Dg2/MnOMoFJrUJ/zGtHeOvLf+jPnT0hk7shoDLtMLClrRDpoJSqq1einTMFrtqAPCkZxgI+Kx2hsD0uVJCd7Cu7DYtnBnoL7sNn2dXv97xuMzNxQwHHr9/Bxbefw8KoCI/own59KnkvJyxf7tjFs54Xw0r4L2LwvnSsMXj5PH4Zj8jCmrN3NxLW7+e6g0O8SUwnv7X6PqtYq7lpxV6dzsiT1mmwuNfUOsjIfY0zeu8TGntnzB9kLgiCw8M9jOPXGXK5+5jgU3WQ6dVVWUbLwDErOOBN3VVWv4237rZI9q2vYsayKTx7f2G2bjws+Zvx747lu6XX9Wv0fLmxmFzZz1xwhALLLRcsHH2D5+WfQh/sqCO8nqOcoLovDzVkvrWbCoz+ztmRgQq/l448pmDSZ6rvv6de2kS4omMADCpdqDd1btARR6BivDx3B6DQSogkBIL8+vz/THhBqtZrk5ORe/ccCAwNZuHAhGRkZXHbZZYg9WFObmpcjt23pFpc81ee1vyn5hmuWXsMVP17B69u75ojqjQN1K0HR/3wtQ0VT0zIkyZcMsaj4yT7bv37peB5ZOIpfbz+e2ODOC5R7TxnJs+fn8c1N05mW1n2IenNzc3turoqKigHP985fC2iubOWq2WnYW2rIa/mJkpSLOt2T/Rx+/MrMMURy5ljyM25lcv3H7Fz5FU+cORqdUsS4pYH1xq61llqXLSNg8iRkWca2ZQvO4mIAmjZtJDxvv6OwgCB0/KgEofsEW782W0hui2i5eXfn1XhuZh1xtl8Q8fDYPVM5aZQvHNSROJ5/ed7g3+qX2Oi+li+iBe6LF0jW+ca5Yse+TuMEqAIGva8uimri4s4lLKybJG0DQK1TkjwqHHUPEQkt77+Pp6EB5+7dFM2e0+tYHqe3vZCdqaH7LavF2xcTrA5mVfUq3tzx5qDn7SgsxL5166D61hSbeOevq3nzzpXs297Y5XzDCy9S+8jfqbzxJprefAsu/w4u+AjurgBlz1E4P+yoZXN5Cw0WJ+e/unZAc2p49jlktxvTF19g+vyLPtsrlErOf+hJ5l5zE9e98i4KZfff45HT48icFEPa+Cgu/0fvOW4WjVyEXqknNzKXT077ZEDzH0pyc3O54IILGDZsWI9tQkMmAj4LX1zceX2OuaV+CwkGnyL67OZnBzSfWYuyiM8IZcZ5I0jM7L66/eEkJGQ84FPcYmP6XriEGzRcMjmZlMiuCq5aKbIgL55R8T0750+fPh2Xy0V6ejrjxw8smvKp9aV8/HMxyakh3DMtlaKP7sGJipGn9CP/j58hxa86HmNMPO8edjy5lMhf/oxy1DT+fU4uV7y1kUd+28u3Z3Z27JRdLmybtwAgaNTtPjLNNVVknDAT8CkB2SOfprLqPeJiz+mxfsussEDerfatrp/LOqAgW+12ckqvIDdEQorIQlwzBjnnXF607KK8civ/EBtwA58HGghxrCIn8GzeahvnsfTO14oJiOEfM/7B8srlXJrd4fdyLGUHUIaFIrU5a+rG9J7zZvTMBGpLTSDD3Cuzu20THxjfburvr2Puwdg2bKBs0WUgSUT86Xoib755QP2LN9ejNaiwGp18+8I2bni5s/nbWVyEJiMD5+7dNL/9NuFXXgEZJ/U5bnSQlnYjyAAX8MrISJx79gCgSe1fMdKgiEhyZvfuh6BSK5h5Sf/yMaWEpPDFwi/61fZoExSUw8QJX+N2txAS0ndU0Lxh8/h8r68w6Ctz+96qOZDEzLBDVmLcksy3DUZmhAYSPsAooqCgHCZM+Aq3q4nQ0ENbvPSHqVOnMnHixAFFYLa6vVz21TY2bKwmKj6Q7xdNZtvvS5jQ9DXrM+9kcvixV8z2fx1/npljkNryvQQsnkFB8HTG37aEc9/bwLqd9bx09UROHt5hanfX1KAID0dUq7H8/juBJ5wAwK5332LkJZcN+Lq7Wu0oBIGMgAPKAmx+F77qvMrYrlZzYXwMyDKLa5pYr1PxWkgwkgA3j7mZMckXohQE8oL6l0Le0tyIw2IZdGFK8ClE21rt5Bh0h1TFWXI6aXzpJRAEIq6/HvEQ84PU2+p9W00x45kc232ysL5oeP4/NL/zTruSlbWn+7IXPVG0qZ4fX/NFyow9MZkpZ3R20G5dsZLKG29EERLCsI8+RBXTvyzMsizzwfoKypttXH98KsH6/leldpaU0vL++xhmTMdw/OAqUvvpnXpbPaIgEqE7tAzA3WF0ezAoFCi7CYUusDq4q6CCtSYrWlHgpIhgJocYiFYraXR72Gq2s8poYfGo4Yw0HJrf2pGiweVmk8lGtdPF5kYL3/5SitzgYNLYGN4+I4+6ku2EfjCfEl0Oo2//1r/FNACGSn77lZljlA1fvsiELfewedIzpM+8hLH/+hUEgRW3HkeMvnOeFduGDSgjI1G3makHq8x0i7kGXpkB1gYQRJClDmUGUMgys2Knss/RyF7jXoI1waw8f+WALrFv2xYSR44+pBvA65UN3Le3ioVRIfwzIxHDIBP3HYvYt25l30UXg8dD9D13E7Zo0YDHqNjTDBLtVYUPRrLbEZRKhG4yr/rxcyAmt4dJa3djUIrMjwgmL1CPRhSpcbpZ0WJhaZOZeK2Kh9PiKbE5+ayuhUKbA4/s82sYptPQ5PZwTkwof0/v2SfrWMEjyUxbt5syhwuV0YV6WzMqCR4+ezTnjo5nb/4Kwr64CIsYTPgtywgMPvJbc39k/MrMAfwvKjOyJLHlXwtIsW7Gc81qtjgDuPr19RgidPxw9RQSDFpfnpknn0KdnIwq3ldQUvZ62VW8h6hxEwCfD2S//8GyjCAICKKivaOMDC4bsssK+1bC7m+QR8zjG72GImMRC9IW4vQ4eWnrS+iVeu6ccCdhurD28Q7cfzh4LvvPWFqaGD3TV8l3d6udHxpN3Jwc3SkDcm+U2JyctKmArAAd2yx2dAqBaxOiOD0qhOH6Yz+h+D67k40mK2dFh/ZoVXJVViI7HGjSes8C7GfoaHR5eKWinisTIonR9KzkbTZbubuwkotjw7k0fuitIMcaz5fV8VRpLWfFhLKqpZVyh8+xXCMKjA3SszAqlAtiw1Af4MzslWWa3R5ClEpUosB9eyv5st7I+skj0SmObdfNb+qNXLWjlEudaj5dUcbYpBCeu2AMMYEa1n/6NHk7nqBMNZyIa74gLKrniEw/3XNUlJmXXnqJl156iX1thduys7P529/+xvz589vbrFmzhnvvvZd169ahUCjIy8vjxx9/RKfr3pz44IMP8tBDnYuGZWRksKdtP70//C8qMwAtDTV4X5hMvTqRtNt/5r8FjTz88TYUGiU3nZzBzWMSe4x+GCyyJCHLclvkhOBTbgQB9v/tAYfHgUJUoOqrgm8vSLLM/E2FbLXYuTI+gkfS4xH7UGgaXG7O3FKEJMN349KxeCWeK6vjw5pm3LLMvzITuTC297TzR5NGl4dRq3xbQN+OTWdccMBRnpGf/dywq4xP61oIVIhcnRjJRbHhxLc5ycuyzB6rg8WVjXxY24Sn7S56UWwY96TEEdGNn0i9083XDUbOiQkj6ChbDp2SxO17KrgwNpypof3PdVRmdzJzQwHnx4Tx2AifVaXV48Ury+gUYicFpjdKbE6OW7+bu4bHclM/yqocLWxeiVmrdmHb0oi5xsr1J6Ry+9wR2FuNFL5+BeMsv7EufCG5V72IVuf/7Q6Go1LOICEhgSeeeIL09HRkWebtt99mwYIFbNmyhezsbNasWcNJJ53EPffcw/PPP49SqWTr1q19Ctzs7Gx+/vnnjkn59xsBCI2MZff8V0n77gLyX7mKy298hxFheq79YAvPfLKDF34qJHdUJJMyI5GVIqU2JzckRTEqsH++Kt0hiGKbxWRgN1utUtt3oz74sKaZrRY7F8eG80ZVIzVON09lJPboQLjZZOXqnftwSjKfj0kjWKUkWAVPZiTyQFocD+yt5rY9Fey02LlzeAzBqmPve/VyRT1qQcAlyyxtMg9amdlgsvJjo4l7U2IPyWdoKGn1ePml2cxpkSF9KqUH80uTmTCVkjH99Lsaat6uauTTuhYeSouj2unmxfJ6nt5XR6xGRYBCpNntodntJVyl5N6UOK5IiGBJbQsPFFXxeb2RkyOCmRQSQKBCgcnjZZ3JyncNRhySzNtVTbw9evhRtRq+WdnIkroWPq1rYdnETEYE9P37tXi8XLuzjDCVgr+mdBS4HMyWbopew6K4CP5dVsec8CCy+uk7Y/V6uXl3OaMNOq5LjEJ7GK06sixz4+pCan6tJEgQePOyCczMjKJo6yq0X1xJhmRk06SnmXTylYdtDn76zyFvM4WFhfHUU09x5ZVXMnnyZObOncsjjzzS7/4PPvggX3zxBfn5+YOew/+qZWY/6z9/jolb72d9yMnkXPs6ao2Ol7ZU8N81ZdRUWkApoE40oEwORBek5oux6SQOZeHAI8Amk5Uz84s4KzqUpzOT+KnRxA27ypCAi2PDOT4skCSdGo8ss91i5+t6Iz81mckJ1PHmqOHtK+YDkWWZN6oaeaS4GrUocEZUKJNCDAQpFbR6vJg8Xi6JCx+woB0qtllszN9UyJ+TY2h0e/im3simqSPRDNDaJssyJ7VZtN4YNYyTI0OGdJ5Wj5evG4ycEhlC4AAE1427ylhS18Lf0+O5KiGy7w5tbLfYmLuxEIC/pcZxbWJkt1uOLknitUpfEdQbkqK6dUYF3+fzUkUDb1Q18Hh6AnMjeq+h9VZVI/fureSyuAgebbM+tLg9rDG2km+24ZJlAhQiE4MNTAwO6LRN0uz28HplAz83mtnRakcCFALkGPTMiwji+NBAbtpdTrXTxWXxEVwYG06aXoMgCHgkmW2tNt6qaqTY5uSV7GEk9PE7tnq9PFlayzUJkd3+Brpjh8XGaZuLmBsRxF6rg0a3h7dHDWdsL4p0tcPF1Tv3sdfm4JO8NHIPYcHUPnePl9M276XVK/HpmLQ+71l2r8R1u/bxY6OvSnesRsXFseFMCTEQrlZi9XrZaLKypLaFMoeLUyODmR0eRIJWjdUrscfq4Mu6FqI1Kp7KSOzVOubxSlzw5VbWb6gmKdrAR5dNJDZIw/ol/yRv55NUKJPQXvAOCWmjehzDT/846j4zXq+XTz75hEWLFrFlyxYiIiKIjo7mueee44MPPqC4uJjMzEweffRRpk/vOd/Dgw8+yFNPPUVwcDBarZYpU6bw+OOPk5SU1GMfp9OJ09mRYdZsNpOYmPg/q8wAbPjiBXK2PEC1Ih7rrEfInnoqgihS0Wzjg/XlfLShgiarC1WEFt2wIN6dO5LcXm5ODS43eoU49EUGB8F3DUZu3F3OKIOOT/JS24V5o8vDSxX1fFTTTKO7c8K5bIOW6xKjOCMqtEchtp86p5uXKur5uclMka1zZuIr4iN4ND2+T2uGLMu8WtlAlFrFGdG9Z3/tD+V2J2fmFxGiVPL9uBGUOZzMWLeHB1LjuC6pf8Ut9/NDg4nLdpSSoFUhy/DD+BFEqofGkfe3JjO37Cmn3uVhaoiBd3OG9+s782J5PQ8XV5MbqGOP1cFbo4YzM7zv32alw8WZW4rQiALTQwN5q6qRVL2G82LCGBOkJ1ylpNHlYa2plY9rW6h2+vw1UnQabhsWw5zwoHaFy+6VWNli4ZmyOjaZbYwM0LLb6uCi2HBuTo4iSdfZMrKr1c5TpbV832jiyvgIHkqL7/O71RtOScIjyShFoZOCavF4ebG8ntcqG2j1SoQoFQQoRIweL1avRIxahUIAlyzzxIgETulBOd3Zamf2hgIAhunUfJibyjBd79aeAquDC7cWE65S8sXYdGxeiUu2lZBvsXFpXDiL4iM6RRjVOF18UtvC82V16BUib41OGVJrWbndydn5xbR6vTyTmcTc8KBuf4sFVgc37y6j0OrgtVHDGa5T8+99dfzYaMJyQI01jSgwJdjAcL2GpU0mKh3u9nMiMCM0kM1mKwalgkfS4jkpIrjL//ib4nru+Wonljobk/NiePecMThajRS+djnjWn9nXcSZ5F75H/+20hBx1JSZ7du3M2XKFBwOBwaDgffff5+TTz6ZtWvXMmXKFMLCwvjnP/9JXl4e77zzTnsBtfT0bqr4At9//z2tra1kZGRQU1PDQw89RFVVFTt27Oixnkl3fjbA/7QyA1C8bTXer25hhKeQUnEY9ZkXM2r+1QQEhuD0ePlhRy2LV+9jW7kRWSOSmxXJ7dNTOT6hQ/gW2Ry8X93MG1UNRKpV/DMjkePD+l9FezBsMlnZYrExITiAUQYdCkHA6vWywWTl1YoGfm22cFpkCM9kJXYrKGVZpsTupN7lQQDS9doB567Yj9HtwSnJqEWBbxqM/KWgkvNjwvh7enyP5nKLx8t9e6v4qC0z8pzwIG4bFs2YQH37jVeWZbZa7Lxd3UiGXstVCZE9CsI1xlZu3FWGShT4NC+tfUV9395K/lvdxE/jM/pl9gefwjdzwx7yAvX8Y0QCJ24qZJhWw3u5KYfsl7G00cSVO/YxLdTA2dGh/KWwklEGHc9nJZHcg9B0ShJPldbyn/J6bk2O5s/Dorlqxz6Wt1h4YkQC58eE9ag4bjJZuX5XGTLwWdtKfbPZyuLKRr5rMGI/oIigQSFyWlQIVydE4pJk/lFaw2/NFkQgSadGRKDS4cIly4wN0nP38Fimhxp4vbKBZ8rqaHZ7GaHXkqbXICGzq9VBucNFklbNPSmxQ6Kw9oXV42WD2XqAtUfBxOAAcgN1GN1e/lJYwY+NZkYbdCyMDiVdr0EtCpTbXXzfaGJZswWlIHBRXDi/N5sxur08nB7PmdGhXSxZbknm49pmHiiqIkGr5v2cFOLavnceSeaVygZeKPd9LqFKBTEaFS1uL7UuN1pR4NyYMO5NiT0sW7WNTjd/2lnG8mYLuQYdc8MCyQzQguTz0VnZZOH3ZguxKiUPp8WTotXglWQ8koTLK7HP5sTqkRBkmViVChHaz7e4vDQ43agFAYMoogQanR6+qGuhyOrAIIokalToBRGz3U1NvRVnixOFXsltJ2dyw/jktm2lKwiWTBROepxxJ18+5J/B/2eOmjLjcrkoLy/HZDKxZMkSXn/9dZYtW4bRaGTatGncc889PPbYY+3tc3JyOOWUU3j88cf7Nb7RaCQ5OZmnn36aK6/sfi/y/6NlZj+S18vOVV/hWfsqOdY12NCyK+oUYmbfQHKmLynb9moTf/25gO0FjeCVQaNAG6zGbVBi1ysJCNEwOzmMGreHdSYruYE6To0MYZhOg1LwhU72dw+7L75vMHLFjn3tUUzatlWq1evFI0O6XsPtw2JYEBVyVHw9Pqpp5p69lYQqFVyZEMmpkcHtpv1Kh4uvG0wsrmzA5PHy+IgEtKLIP0pqKLY7iVAp23PyFNocNLg8xGpU1DndjAjQckmcb3ssVqPC6Pays9XOR7XNfNtgYmJwAC+PTG4XKODbMjhpYyFWr8SneWl9+lQ0uTyck19EvcvDzxMyiNGo2GSycsG2YqLVKl4amdyj/9TuVjvlDhfHhwZ28Ttocnl4el8tb1Q1cmJEEK9mD0MtimwwWblu5z5a2rbnzowOJU2vQSOIVDtd/NRk5s3KRsodLu4aHsMNSVEIgoBTkrizoJKPapuZHBzApfERzAg1EKFSYvFKbLPY+Ki2mSW1LeQG6nlt1LAuWw5OSaLS4aLR5SFaoyJOo+ribFpsc7DGaKXY5qsvFq9VMyXEwMgAbafvltXj5YdGE2uMVqraLDupeg1TQwzMDQ9GdQjWmIEgyzJeScbb9tcjyXi9Ha/dXonlTRa+rGthrbEVl1f2RRzKkKnXMCssiONDDIgImFweXimvZ4PJSpRKSbZeR5RKgSRDld3FnlY7LS4PuQY9p0YEo8CnxLRfd79iYHXS4PTQ6vGiRsCgEIhuUxD2z29/e48kI8kyHu+B43Q+75UOPi8d1E7uUun6cCEKoBRFFKLgW2iI4JbBK/jyDSvVIuGhOk4eFcOfJw5HrxRY/8lTjNn1JOXKZHQXvUt8SvfJMf0MnqO+zbSfOXPmkJqayt13301KSgrvvvsuF198cfv58847D6VSyXvvvdfvMSdMmMCcOXP6rQD9r/vM9ERt+V5Kf/wPGVWfEYaZHZo8XGMuJ2f2hShVaprtLl7Lr2BzhZGqRhvmFgdmi+/mrRAFhkcEEByioUkrUqaScegVyDoFClHgluRorkuMOqTV/U+NJq7dWcbs8ECez0pmu8XGVosdtywTqBSZEBzACL32qPms7Kfc7uTRkhq+bzDhkmXUgoAMuGUZjSgwPyKYe1Pj2gWsR5JZabSw+oCw1KQ2wTkjNJBtrTaeLavjlyZze5TLfjIDtFwRH8HFPfjq1Dl90VnNbg9/b1tld6fkLWu2cHtBOQ6vzJIxqWQGdCifxTYHl2/fR6HNwYkRQcwLD/atdPGZ65c2mfm+0Vc9PFipYGZYIElaNU5ZpsjqZHmLb8V/T0oMVyZ09ldp9Xj5d1u0WFPb1p9ImzAQYG54MHcOj+lWGf650cSz++rYYLSCLKNs+yyRIUGt4rzoUM6KDgO5q7A78Pn+Vbe31/M+wXmwkJUOft0ujHsQznJnAe6V8bX1HqSIHPxaktr7SbLcWRGQj6wQ349SFFAqhE4Cvf1vT8fFA44rfK8VgnDAa7Gb9m3HFT0cF4VexwMwS14UokCoSolBpezUvsu8uhlPKYpt76njmDgAJbVsz2ZavryHPPta1kWeTd6Vz6PRHh1n9P91jhllZtasWSQlJfHmm2+SkJDAFVdc0ckBeMyYMcyfP7+TtaY3WltbSUpK4sEHH+TmfqZt//+qzOzH6bCxfem7GLa9RaZ7F/WEUZx8LqnzriMqvnNWXYvDTWGdhT21FgpqO/6a7L69Zb1agSFEQ51GQBWoZmpiKGenR3FSXGi/wy4bXR6eL6/j1YoGTowI4sWRw9Af47kkwLcFtd5kpaJNQUnUqpkYHEBIm2ndF7Luy5kh7X/eJqwkGaQDn8syTU4PhVY79U43BoWCOI2KBLUKmbYxJNra+/p4JRlZljG6vLxSUc+qllZi1EqmBPuypwpAncPNRqOVcruTDJ2W82NCCVEqughql1diq9nGRqOVeqfbVzJCBkGGcKWCTL2WMKWSEquDOqcbq8eLAtAJIpEqJVEqZbuy0Z0i4JYkrB4Jp0fCI0mIgAIBuUfFQeJIym5R8CnsBwo9xUFCV3GQkFWIdBK2CqGzABWFzgJcFA5UBLq+9glpsQeh3VWIt79uG0MhHCyoxT7G6CzI2+c/QEH+R0OWJLxeDx6PG6/HjdfrRfK48XjcSF4PXo8LySsheV1IHg9erwfJ6zvX/vC4cFlNuGp2E1S9nJGu7dQSSc3UBxkz7+K+J+Fn0BwVZeaee+5h/vz5JCUlYbFYeP/99/nHP/7Bjz/+yNy5c3nmmWd44IEHWLx4MXl5ebz99tv885//ZMeOHaSm+lKoz549mzPOOIMbb/SlyL/jjjs47bTTSE5Oprq6mgceeID8/Hx27dpFZGT/IiD+vyszB1K8bTVNv7/IqKaf0OKiVDmcZsMIvJFZBCTlEjtiHOFRCe11nMAnpOvMTvbUmiloU26215gprm9F2i+BNCKGEC0GnQqXIOPGV6FYrRQJ16ioLjUSEKBGGaGl0uFEQGBiUABjAnXI0FnwSx0CXzpAqHsPUhC6KAtt7X1Cn67Pu1Mq2p93jHFwf0luM/n3Mrf9/Y9VDjahiwcIbVH0WZoUooBG6csFcuD5g9sfKOwHrQj0OL7Y7fU6v+5+vO6vL3Y9/j8uvKGzAJe8HjweTz8FuPcAQe5GbhPmsuRF9nqQvW4kyQNtx5G8yJIHJA+y1/cXydt+XJA87X+RJZA8CLLX91fyIMgSguw7JkheBNmDKHvbj4uyt+OB77ii7bkoe1HgRZQlRHzPFXhRyF4USG0PL0pB6vsD6ycWWUeJPgdX5kJyTrzMb405AhyVPDP19fVceuml1NTUEBwcTE5OTrsiA3DrrbficDj485//THNzM7m5uSxdurRdkQEoLi6msbGjcm9lZSUXXHABTU1NREZGMn36dNauXdtvRcZPZ1JzppKaMxVTSyM7l32EvG8lIa1FJBh/Q1/khF+hhSCqNCm0Bo9AjM4mZPgYEjPGckJGFCdkdETSuL0SpQ2t/FrWzC9lTZQ32rBaXShkULatvG1eGaNHwmP3YLG4UBntGBQiBqWCykY31aLRJ1wEAaFttSy2vRZFOp63nRMOeC62JepTCL52ClFA1d7X93f/OUEQUOwfT/SN0TF25/H3t/ON3dZW7HkendodMH6ndkLXuXedR0/v8aDP5YD3u/+cs02TClYru1U8jpXcMoeT/QLc2yasPR4PktON2+PG2SZ8vR5PvwS47PUitQnoAwV4u1DvhwCnTUD3R4ALstQmxDsLcAHf8cEIcCVHplKwR94/E9H3ENpn5ZuR4DsvCW2zExTIgth2ruMhC0rfcUGBLGqQRQXyAcdlUQmiEllQgKiEtmOCqGz/i6hoeygRFL72QttzQVSAQokoKhEUqvZjosJ3XlSoENv/KhAVKhQKJaJSiahQozMEERoRS+4QJyL1c2TwlzP4f4Lk9VJdupuG4k04qnagadpDpK2IeKkGUZCRZIFqMYZ6fRrOsEy0CaOJSB1L3LAsf9G0o8R+4S1JEpLk7bIClyWvz6zeRYB72gV33wLcJ6C7CHDZCweszHsV4J2Edu8CXGgT0gcLcBEviiO4Au+L3gW4TyAPWIALygMEeNvjEAQ4bYK6fwJc2S7IDxTgokJEoVQjKpQolSpEpQqlUtn+WqFQdrLi+vEz1BwzPjPHAn5lZvDYrRYqC7dgLN2Ct3YnBlMBcc4SwvAlprLLaipVybQY0pHC0hADwhFVWgSlBoVKg6hUI6o1WKsLUGgMBEQPR5Ykn6CUJN9KV5KQ5f3PvT7/DcnTfowDzgtyx3Of2drrK63Q9hzZV25BkLzIclubTudln5BtOyYc1EY48C9S2yq645hA5+fCwc+ROx0TDzgu7m+H3Lbqljuf39/+gOe+FbiMgIyC/WPKR1Rw72foBLjvcSgCXBYVvpV2fwS4qGgT3IMX4AqFAoVS5RfgfvwcYfzKzAH4lZmhp7G2gprCjVgrtqFo2E2opZBoTzWBgv2IXN8r7xfrAt4D/woiHWqESIcqICIJB6gKwgEqguA7Jrcdk1AgH3hsf1tB0fFXEKHtOULXY7Igth9HENsfvuOKtue+vgiib2Xd1kYQfNcXDjiGqEA4oJ0giAii7zr7nyOKiArVIAS47+EX4H78+DnWOCo+M37+/xARk0hETCJwRqfjXo8Ht8uB0+nA43LgcTvxuBw0lGxDodIQFJPi8xVRKBEEBULbc1FUIIgioqjwPVcoEUURURTbBalif7u2KJCjn5vYjx8/fvz8EfArM34GhEKpRKE0oNV3rrTrTyblx48fP36OFn67sh8/fvz48ePnD41fmfHjx48fP378/KHxKzN+/Pjx48ePnz80fmXGjx8/fvz48fOHxq/M+PHjx48fP37+0PiVGT9+/Pjx48fPHxq/MuPHjx8/fvz4+UPjV2b8+PHjx48fP39o/MqMHz9+/Pjx4+cPjV+Z8ePHjx8/fvz8ofErM378+PHjx4+fPzR+ZcaPHz9+/Pjx84fGr8z48ePHjx8/fv7Q/E9UzZZlGQCz2XyUZ+LHjx8/fvz46S/75fZ+OT5Y/ieUGYvFAkBiYuJRnokfP378+PHjZ6BYLBaCg4MH3V+Q/6+9ew1pqvHjAP7bxWc6c2C6iTdMQy0p0ITUMiO8oYGB9cYX3UiJgnpTZkalXQyiepOECJFSoJBBaCHmBc0iLW/rRZmSl/KKwyRFRd32/b8I929Py2fmLh39fWAvPOe4fff1uP0450xXOg79BfR6PQ0PD5OLiwuJRCJ7x/mtyclJ8vX1pYGBAVIoFPaOsypxx7bBPVsfd2x93LFtLNUzAJqamiIvLy8Si//8ypdVcWRGLBaTj4+PvWOYTaFQ8C+OlXHHtsE9Wx93bH3csW38rueVHJFZxBcAM8YYY0zQeJhhjDHGmKDxMGNDMpmMcnJySCaT2TvKqsUd2wb3bH3csfVxx7Zhi55XxQXAjDHGGFu7+MgMY4wxxgSNhxnGGGOMCRoPM4wxxhgTNB5mGGOMMSZoPMzYSHd3N+3bt4/c3d1JoVBQdHQ01dfXG23z9etX2rt3L8nlclKpVJSZmUlardZOiYWloaGBRCKRyVtLS4thu8ePH1NoaCjJ5XLy8/OjW7du2TG1sJjb8YsXLygyMpJcXFxIqVTS/v37qb+/337BBcacnnNzc02ud3Z2tnN6YTB3XwZAt2/fpqCgIJLJZOTt7U15eXl2TC4s5vTc399vcn1zc/PyHgzMJgIDA5GcnIz379+ju7sbJ0+ehFwux8jICABAq9Viy5YtiIuLQ0dHByorK+Hu7o7s7Gw7JxeGubk5jIyMGN3S09Ph7+8PvV4PAKisrIRUKkVBQQF6enrw/PlzeHp6Ij8/387phcGcjnt7eyGTyZCdnY3Pnz+jra0NMTExCAsLs3N64TCn56mpqV+2CQkJweHDh+0bXiDM6RgATp06heDgYJSXl6O3txetra2orq62Y3JhMafnvr4+EBFqa2uNtpufn1/WY/EwYwMajQZEhMbGRsOyyclJEBFqamoA/HijFYvFGB0dNWxTUFAAhUKBubk5m2cWuvn5eSiVSly9etWwLC0tDQcOHDDa7u7du/Dx8TF6AWPmMdVxWVkZpFIpdDqdYVlFRQVEItGyX5zYD6Z6/je1Wv3Lawwzn6mOP378CKlUik+fPtkx2epiqufFYaajo2NF982nmWzAzc2NgoOD6eHDhzQ9PU1arZYKCwtJpVJReHg4ERE1NTXR1q1bycPDw/B9iYmJNDk5SR8+fLBXdMGqqKig8fFxOnr0qGHZ3NwcOTo6Gm3n5OREg4OD9OXLF1tHFDxTHYeHh5NYLKaioiLS6XT0/ft3evToEcXFxZGDg4Md0wqXqZ7/7f79+xQUFES7du2yYbLVw1THz549o4CAAHr+/Dn5+/vThg0bKD09nb59+2bHpL4RWxoAAATnSURBVMK21L6ckpJCKpWKoqOjqaKiYvl3vsJBi5lpYGAA4eHhEIlEkEgk8PT0RHt7u2F9RkYGEhISjL5nenoaRITKykpbxxW8pKQkJCUlGS0rLCyEXC5HbW0tdDodurq6sGnTJhAR3rx5Y6ekwmWqYwBoaGiASqWCRCIBESEqKgoTExO2D7hK/K7nRbOzs3B1dcXNmzdtmGp1MdXx8ePHIZPJEBERgcbGRtTX1yM0NBR79uyxU0rhM9WzRqPBnTt30NzcjHfv3iErKwsikQjl5eXLum8eZlYgKysLRLTkrbOzE3q9HikpKUhKSsLr16/R1taGEydOwNvbG8PDwwB4mPkdczv+2cDAAMRiMZ48eWK0XK/X49y5c3B0dIREIoGrqytyc3NBRGhubrbl0/qrWLLjkZERBAYGIjMzE+3t7Xj58iV2796N2NjYNX8qz5I9/6ykpARSqdToFPVaZcmOMzIyQETo6uoyLGtrawMRrflTT9balxcdPHgQ0dHRy8rE/85gBTQaDY2Pjy+5TUBAAL169YoSEhJoYmLC6N+fBwYG0rFjx+j8+fN0+fJlqqioILVabVjf19dHAQEB1N7eTmFhYdZ6Gn81czv+559/DF9fu3aN8vPzaWhoyOSpDZ1OR6Ojo6RUKqmuro6Sk5NpbGyMlEqlxfMLgSU7vnTpElVVVRl9ImRwcJB8fX2pqamJIiMjLf8EBMIa+zIRUWxsLCkUCnr69KlF8wqRJTvOycmhGzdu0MLCgmHZ7OwsyeVyqq6upvj4eMs/AYGw1r686N69e3T9+nUaGRkxO5PU7C3ZL5RKpVlvgDMzM0REJBYbX6IkFotJr9cTEVFUVBTl5eXR2NgYqVQqIiKqqakhhUJBISEhFk4uHOZ2vAgAFRUV0aFDh377CyORSMjb25uIiEpLSykqKmrNDjJElu14Zmbml/1cIpEQERn29bXKGvtyX18f1dfX/9k1BquQJTveuXMnabVa6unpoY0bNxLRjz+xQUTk5+dnudACZI19+WdqtZo8PT2XF2pZx3HYH9FoNHBzc0NqairUajW6urpw9uxZODg4QK1WA/j/R7MTEhKgVqtRVVUFpVLJH81eptraWpOHOIEfP4eCggJ0dnaio6MDp0+fhqOjI96+fWuHpMK1VMd1dXUQiUS4cuUKuru70dbWhsTERPj5+WFmZsYOaYVrqZ4XXbx4EV5eXtBqtTZMtnos1bFOp8O2bdsQExOD9vZ2tLa2IiIiAvHx8XZIKmxL9VxcXIySkhJ0dnais7MTeXl5EIvFePDgwbIeg4cZG2lpaUFCQgLWr18PFxcXREZG/nItTH9/P5KSkuDk5AR3d3ecOXMGCwsLdkosTGlpadixY4fJdRqNBpGRkXB2doZcLkdsbOyavlbmTy3VMQCUlpYiLCwMzs7OUCqVSElJWfINmZn2Xz3rdDr4+PjgwoULNky1uvxXx0NDQ0hNTcW6devg4eGBI0eOYHx83IYJV4elei4uLsbmzZshl8uhUCiwfft2lJWVLfsx+JoZxhhjjAka/50ZxhhjjAkaDzOMMcYYEzQeZhhjjDEmaDzMMMYYY0zQeJhhjDHGmKDxMMMYY4wxQeNhhjHGGGOCxsMMY4wxxgSNhxnGGGOMCRoPM4wxxhgTNB5mGGOMMSZoPMwwxhhjTND+B5hbQ5PDs5rtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 2465 . Time = 0\n",
      "working on tract-tract distances for unit 421 out of 2465 . Time = 39\n",
      "working on tract-tract distances for unit 912 out of 2465 . Time = 68\n",
      "working on tract-tract distances for unit 1420 out of 2465 . Time = 89\n",
      "working on tract-tract distances for unit 1846 out of 2465 . Time = 102\n",
      "working on tract-tract distances for unit 2324 out of 2465 . Time = 108\n",
      "All done; total elapsed  108 seconds for VA with 10 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 3.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 2465 . Time = 0\n",
      "working on unit-unit angles for unit 421 out of 2465 . Time = 19\n",
      "working on unit-unit angles for unit 912 out of 2465 . Time = 36\n",
      "working on unit-unit angles for unit 1420 out of 2465 . Time = 47\n",
      "working on unit-unit angles for unit 1846 out of 2465 . Time = 54\n",
      "working on unit-unit angles for unit 2324 out of 2465 . Time = 57\n",
      "All done with angles; total elapsed seconds = 57\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "784489.1 10 7844891.0 10.0 8631393.0\n",
      "7844891.0 7844891 0.90888\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 2977.188 of targetWedgePop\n",
      "I am working on HD number 0 of 2465 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 421 of 2465 HDs.  Elapsed sec = 159\n",
      "I am working on HD number 912 of 2465 HDs.  Elapsed sec = 332\n",
      "I am working on HD number 1420 of 2465 HDs.  Elapsed sec = 484\n",
      "I am working on HD number 1846 of 2465 HDs.  Elapsed sec = 628\n",
      "I am working on HD number 2324 of 2465 HDs.  Elapsed sec = 776\n",
      "818.269 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99701 0.14208\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"13May\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/VA2465convexHD2_10nW4_13May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/VA2465convexHD2_10nW4_13May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.908878902860653 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 860022.0\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 796051.0\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 827262.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 14658.0 would be used 1.564 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 147963.0 would be used 1.525 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 24298.0 would be used 1.346 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 3 with pop 45695.0 would be used 2.382 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 14658.0 would be used 1.5640064342513158 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 147963.0 would be used 1.5250243757369495 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 24298.0 would be used 1.3459027027908645 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 3 with pop 45695.0 would be used 2.382105755197879 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02022 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02069 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02286 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 3 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 3 is 1.02019 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "print(\"For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.0992 0.15404\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 2108 populated HDs out of 2465\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 786 time is now 19\n",
      "working on HD 1646 time is now 52\n",
      "working on HD 2457 time is now 76\n",
      "out of 2108 total HDs, there were 1867.0 contiguous and 584.0 complement-contiguous HDs\n",
      "157 HDs had both discontiguity problems, while enclave-only = 1367 and discontig only= 84\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 241 1367\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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884xlWZa1aNEiq0GDBlZ+fr5t/caNGy1XV1crMzPTsizLiouLs4KCgmzHY1mWtWDBAqt+/fpWWVnZZdXhbJd8zVqOfX47fCamoKBA7du31/z58y9YV1hYqH379mnixInat2+f1q5dq4yMDP3ud7+zaxcbG6tDhw5py5Yt2rBhg3bu3Klhw4bZ1ufl5al3795q2rSp0tLS9Nprr2ny5MlatGiRo+UCAK5SR48eVWFhoe69917Vr1/fNi1btkzffPONXdt27drZ/hwWFiZJys7OliSlp6erV69el73frVu3qlevXmrcuLH8/Pw0ePBg/fjjj7aviu6//355eHjo/ffflyT97//+r/z9/RUdHS1JOnDggI4ePSo/Pz9bzUFBQTp//vwFdTtDVFTUBfOVZ2KOHDmi9u3bq169erb13bt3V3l5ud1Xbu3bt5evr69dH/n5+Tp58qTT661JDl/Y26dPH/Xp0+ei6wICArRlyxa7ZW+++aa6du2qEydO6Prrr9eRI0e0adMm7d27V507d5YkzZs3T/fff79mzpyp8PBwLV++XMXFxfrHP/4hT09P3XzzzUpPT9fs2bPtwg4AwFyV121s3LhRjRs3tlvn5eVlN+/h4WH7s4uLi6SK62kkycfH57L3+e233+qBBx7QM888o6lTpyooKEifffaZhgwZouLiYvn6+srT01MPP/ywVqxYoYEDB2rFihV67LHH5O7ubqu7U6dOWr58+QX9X3fddZddC65ctV8Tk5ubKxcXFwUGBkqSUlJSFBgYaAswkhQdHS1XV1elpqba2vTs2VOenp62NjExMcrIyNBPP/100f0UFRUpLy/PbgIAXL3atGkjLy8vnThxQjfddJPdFBFx+Xc3tWvXTsnJyZfVNi0tTeXl5Zo1a5Zuu+02tWjRQqdPn76gXWxsrDZt2qRDhw5p27Ztio2Nta279dZb9fXXXys4OPiCugMCAi677sv1+eefXzDfunVrSVLr1q114MABFRQU2Nbv2rVLrq6uatmypW3ZgQMHdO7cObs+6tev79A4X42qNcScP39e48aN06BBg+Tv7y9JyszMVHBwsF07d3d3BQUFKTMz09YmJCTErk3lfGWbX5o2bZoCAgJsk+n/YwCgrvPz89Pzzz+vUaNGaenSpfrmm2+0b98+zZs3T0uXLr3sfhITE7Vy5UolJibqyJEjOnjwoKZPn37RtjfddJNKSko0b948HTt2TO+++64WLlx4QbuePXsqNDRUsbGxioyMVLdu3WzrYmNj1ahRIz300EP69NNPdfz4cW3fvl3PPfec/vOf/1yyzqNHjyo9PV2ZmZk6d+6c0tPTlZ6e/psXA69Zs0b/+Mc/9NVXXykxMVF79uyxXbgbGxsrb29vxcXF6csvv9Qnn3yiZ599VoMHD7b7HC0uLtaQIUN0+PBhffjhh0pMTFRCQoJcXc2+v6fanhNTUlKiRx99VJZlacGCBdW1G5sJEyZo9OjRtvm8vDyCDABIFc9vuUr3M2XKFF133XWaNm2ajh07psDAQN16663661//etl93HXXXVqzZo2mTJmiV199Vf7+/urZs+dF27Zv316zZ8/W9OnTNWHCBPXs2VPTpk3TE088YdfOxcVFgwYN0owZMzRp0iS7db6+vtq5c6fGjRun/v376+zZs2rcuLF69epl+wf7xTz11FN2d1117NhRknT8+HHdcMMNl9wuKSlJq1at0vDhwxUWFqaVK1eqTZs2tlo+/vhjjRgxQl26dJGvr68GDBig2bNn2/XRq1cvNW/eXD179lRRUZEGDRqkyZMnX3KfpqiWEFMZYL777jtt27bN7n9qaGio7WKsSqWlpTpz5oxCQ0NtbbKysuzaVM5XtvklLy+vC75DBYBrmm/Diiforh1ac/v08K3Y72VycXHRiBEjNGLEiIuuv+uuu2RZlt2yDh06XLCsf//+6t+//0X7+OXzW0aNGqVRo0bZLRs8ePAF202fPv2SZ3RCQ0MdOlskVTzzpirCw8O1efPmS65v27attm3b9pv9JCUl1Y3bqn/G6SGmMsB8/fXX+uSTT9Swof2LOSoqSjk5OUpLS1OnTp0kSdu2bVN5ebntdF1UVJReeOEFlZSU2C7m2rJli1q2bKkGDRo4u2QAqJsCIyp+AuAa/+0k1F0Oh5j8/HwdPXrUNn/8+HGlp6crKChIYWFhevjhh7Vv3z5t2LBBZWVltmtYgoKC5OnpqdatW+u+++7T0KFDtXDhQpWUlCghIUEDBw5UeHi4JOnxxx9XUlKShgwZonHjxunLL7/UG2+8oddff91Jhw0A14jACEIF6iyHQ8wXX3yhu+++2zZfeR1KXFycJk+ebLuvvkOHDnbbffLJJ7rrrrskVTz5MCEhQb169ZKrq6sGDBiguXPn2toGBARo8+bNio+PV6dOndSoUSNNmjSJ26sBANeUX35tVhVLliy58kKuUg6HmIt9P/lzlzPgQUFBFzzS+ZfatWunTz/91NHyAADANcLse6sAAMA1ixADAHWEM756AGqCs16rhBgAMFzlXZyVv/0DXO0qX6s//zmJqqi2h90BAGqGm5ubAgMDbc/g8vX1tf2+EHA1sSxLhYWFys7OVmBgoNzc3K6oP0IMANQBlQ8C/eXDRIGrUWBg4CUfXusIQgwA1AEuLi4KCwtTcHCwSkpKarsc4JI8PDyu+AxMJUIMANQhbm5uTvuAAK52XNgLAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEgOh5idO3fqwQcfVHh4uFxcXLR+/Xq79ZZladKkSQoLC5OPj4+io6P19ddf27U5c+aMYmNj5e/vr8DAQA0ZMkT5+fl2bf7973+rR48e8vb2VkREhGbMmOH40QEAgDrL4RBTUFCg9u3ba/78+RddP2PGDM2dO1cLFy5Uamqq6tWrp5iYGJ0/f97WJjY2VocOHdKWLVu0YcMG7dy5U8OGDbOtz8vLU+/evdW0aVOlpaXptdde0+TJk7Vo0aIqHCIAAKiTrCsgyVq3bp1tvry83AoNDbVee+0127KcnBzLy8vLWrlypWVZlnX48GFLkrV3715bm48++shycXGxTp06ZVmWZb311ltWgwYNrKKiIlubcePGWS1btrzs2nJzcy1JVm5ublUP7+JO7besRP+K/5rCxJoBANckRz6/nXpNzPHjx5WZmano6GjbsoCAAHXr1k0pKSmSpJSUFAUGBqpz5862NtHR0XJ1dVVqaqqtTc+ePeXp6WlrExMTo4yMDP30008X3XdRUZHy8vLsJgAAUHc5NcRkZmZKkkJCQuyWh4SE2NZlZmYqODjYbr27u7uCgoLs2lysj5/v45emTZumgIAA2xQREXHlBwQAAK5adebupAkTJig3N9c2nTx5srZLAgAA1cipISY0NFSSlJWVZbc8KyvLti40NFTZ2dl260tLS3XmzBm7Nhfr4+f7+CUvLy/5+/vbTQAAoO5yaoiJjIxUaGiokpOTbcvy8vKUmpqqqKgoSVJUVJRycnKUlpZma7Nt2zaVl5erW7dutjY7d+5USUmJrc2WLVvUsmVLNWjQwJklAwAAQzkcYvLz85Wenq709HRJFRfzpqen68SJE3JxcdHIkSP18ssv6/3339fBgwf1xBNPKDw8XP369ZMktW7dWvfdd5+GDh2qPXv2aNeuXUpISNDAgQMVHh4uSXr88cfl6empIUOG6NChQ1q9erXeeOMNjR492mkHDgAAzObu6AZffPGF7r77btt8ZbCIi4vTkiVLNHbsWBUUFGjYsGHKycnRHXfcoU2bNsnb29u2zfLly5WQkKBevXrJ1dVVAwYM0Ny5c23rAwICtHnzZsXHx6tTp05q1KiRJk2aZPcsGQAAcG1zsSzLqu0iqkNeXp4CAgKUm5vr3OtjTqdLi+6Uhu2Qwjs4r9/qZGLNAIBrkiOf33Xm7iQAAHBtIcQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkZweYsrKyjRx4kRFRkbKx8dHN954o6ZMmSLLsmxtLMvSpEmTFBYWJh8fH0VHR+vrr7+26+fMmTOKjY2Vv7+/AgMDNWTIEOXn5zu7XAAAYCinh5jp06drwYIFevPNN3XkyBFNnz5dM2bM0Lx582xtZsyYoblz52rhwoVKTU1VvXr1FBMTo/Pnz9vaxMbG6tChQ9qyZYs2bNignTt3atiwYc4uFwAAGMrd2R3u3r1bDz30kPr27StJuuGGG7Ry5Urt2bNHUsVZmDlz5ujFF1/UQw89JElatmyZQkJCtH79eg0cOFBHjhzRpk2btHfvXnXu3FmSNG/ePN1///2aOXOmwsPDnV02AAAwjNPPxNx+++1KTk7WV199JUk6cOCAPvvsM/Xp00eSdPz4cWVmZio6Otq2TUBAgLp166aUlBRJUkpKigIDA20BRpKio6Pl6uqq1NTUi+63qKhIeXl5dhMAAKi7nH4mZvz48crLy1OrVq3k5uamsrIyTZ06VbGxsZKkzMxMSVJISIjddiEhIbZ1mZmZCg4Oti/U3V1BQUG2Nr80bdo0JSUlOftwAADAVcrpZ2L++c9/avny5VqxYoX27dunpUuXaubMmVq6dKmzd2VnwoQJys3NtU0nT56s1v0BAIDa5fQzMWPGjNH48eM1cOBASVLbtm313Xffadq0aYqLi1NoaKgkKSsrS2FhYbbtsrKy1KFDB0lSaGiosrOz7fotLS3VmTNnbNv/kpeXl7y8vJx9OAAA4Crl9DMxhYWFcnW179bNzU3l5eWSpMjISIWGhio5Odm2Pi8vT6mpqYqKipIkRUVFKScnR2lpabY227ZtU3l5ubp16+bskgEAgIGcfibmwQcf1NSpU3X99dfr5ptv1v79+zV79mw9+eSTkiQXFxeNHDlSL7/8spo3b67IyEhNnDhR4eHh6tevnySpdevWuu+++zR06FAtXLhQJSUlSkhI0MCBA7kzCQAASKqGEDNv3jxNnDhRw4cPV3Z2tsLDw/XnP/9ZkyZNsrUZO3asCgoKNGzYMOXk5OiOO+7Qpk2b5O3tbWuzfPlyJSQkqFevXnJ1ddWAAQM0d+5cZ5cLAAAM5WL9/FG6dUheXp4CAgKUm5srf39/53V8Ol1adKc0bIcU3sF5/VYnE2sGAFyTHPn85reTAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMFK1hJhTp07pD3/4gxo2bCgfHx+1bdtWX3zxhW29ZVmaNGmSwsLC5OPjo+joaH399dd2fZw5c0axsbHy9/dXYGCghgwZovz8/OooFwAAGMjpIeann35S9+7d5eHhoY8++kiHDx/WrFmz1KBBA1ubGTNmaO7cuVq4cKFSU1NVr149xcTE6Pz587Y2sbGxOnTokLZs2aINGzZo586dGjZsmLPLBQAAhnJ3dofTp09XRESEFi9ebFsWGRlp+7NlWZozZ45efPFFPfTQQ5KkZcuWKSQkROvXr9fAgQN15MgRbdq0SXv37lXnzp0lSfPmzdP999+vmTNnKjw83NllAwAAwzj9TMz777+vzp0765FHHlFwcLA6duyot99+27b++PHjyszMVHR0tG1ZQECAunXrppSUFElSSkqKAgMDbQFGkqKjo+Xq6qrU1NSL7reoqEh5eXl2EwAAqLucHmKOHTumBQsWqHnz5vr444/1zDPP6LnnntPSpUslSZmZmZKkkJAQu+1CQkJs6zIzMxUcHGy33t3dXUFBQbY2vzRt2jQFBATYpoiICGcfGgAAuIo4PcSUl5fr1ltv1SuvvKKOHTtq2LBhGjp0qBYuXOjsXdmZMGGCcnNzbdPJkyerdX8AAKB2OT3EhIWFqU2bNnbLWrdurRMnTkiSQkNDJUlZWVl2bbKysmzrQkNDlZ2dbbe+tLRUZ86csbX5JS8vL/n7+9tNAACg7nJ6iOnevbsyMjLsln311Vdq2rSppIqLfENDQ5WcnGxbn5eXp9TUVEVFRUmSoqKilJOTo7S0NFubbdu2qby8XN26dXN2yQAAwEBOvztp1KhRuv322/XKK6/o0Ucf1Z49e7Ro0SItWrRIkuTi4qKRI0fq5ZdfVvPmzRUZGamJEycqPDxc/fr1k1Rx5ua+++6zfQ1VUlKihIQEDRw4kDuTAACApGoIMV26dNG6des0YcIEvfTSS4qMjNScOXMUGxtrazN27FgVFBRo2LBhysnJ0R133KFNmzbJ29vb1mb58uVKSEhQr1695OrqqgEDBmju3LnOLhcAABjKxbIsq7aLqA55eXkKCAhQbm6uc6+POZ0uLbpTGrZDCu/gvH6rk4k1AwCuSY58fvPbSQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADBStYeYV199VS4uLho5cqRt2fnz5xUfH6+GDRuqfv36GjBggLKysuy2O3HihPr27StfX18FBwdrzJgxKi0tre5yAQCAIao1xOzdu1d/+9vf1K5dO7vlo0aN0gcffKA1a9Zox44dOn36tPr3729bX1ZWpr59+6q4uFi7d+/W0qVLtWTJEk2aNKk6ywUAAAapthCTn5+v2NhYvf3222rQoIFteW5urt555x3Nnj1b99xzjzp16qTFixdr9+7d+vzzzyVJmzdv1uHDh/U///M/6tChg/r06aMpU6Zo/vz5Ki4urq6SAQCAQaotxMTHx6tv376Kjo62W56WlqaSkhK75a1atdL111+vlJQUSVJKSoratm2rkJAQW5uYmBjl5eXp0KFDF91fUVGR8vLy7CYAAFB3uVdHp6tWrdK+ffu0d+/eC9ZlZmbK09NTgYGBdstDQkKUmZlpa/PzAFO5vnLdxUybNk1JSUlOqB4AAJjA6WdiTp48qREjRmj58uXy9vZ2dveXNGHCBOXm5tqmkydP1ti+AQBAzXN6iElLS1N2drZuvfVWubu7y93dXTt27NDcuXPl7u6ukJAQFRcXKycnx267rKwshYaGSpJCQ0MvuFupcr6yzS95eXnJ39/fbgIAAHWX00NMr169dPDgQaWnp9umzp07KzY21vZnDw8PJScn27bJyMjQiRMnFBUVJUmKiorSwYMHlZ2dbWuzZcsW+fv7q02bNs4uGQAAGMjp18T4+fnplltusVtWr149NWzY0LZ8yJAhGj16tIKCguTv769nn31WUVFRuu222yRJvXv3Vps2bTR48GDNmDFDmZmZevHFFxUfHy8vLy9nlwwAAAxULRf2/pbXX39drq6uGjBggIqKihQTE6O33nrLtt7NzU0bNmzQM888o6ioKNWrV09xcXF66aWXaqNcAABwFaqRELN9+3a7eW9vb82fP1/z58+/5DZNmzbVhx9+WM2VAQAAU/HbSQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABjJ6SFm2rRp6tKli/z8/BQcHKx+/fopIyPDrs358+cVHx+vhg0bqn79+howYICysrLs2pw4cUJ9+/aVr6+vgoODNWbMGJWWljq7XAAAYCinh5gdO3YoPj5en3/+ubZs2aKSkhL17t1bBQUFtjajRo3SBx98oDVr1mjHjh06ffq0+vfvb1tfVlamvn37qri4WLt379bSpUu1ZMkSTZo0ydnlAgAAQ7k7u8NNmzbZzS9ZskTBwcFKS0tTz549lZubq3feeUcrVqzQPffcI0lavHixWrdurc8//1y33XabNm/erMOHD2vr1q0KCQlRhw4dNGXKFI0bN06TJ0+Wp6ens8sGAACGqfZrYnJzcyVJQUFBkqS0tDSVlJQoOjra1qZVq1a6/vrrlZKSIklKSUlR27ZtFRISYmsTExOjvLw8HTp06KL7KSoqUl5ent0EAADqrmoNMeXl5Ro5cqS6d++uW265RZKUmZkpT09PBQYG2rUNCQlRZmamrc3PA0zl+sp1FzNt2jQFBATYpoiICCcfDQAAuJo4/eukn4uPj9eXX36pzz77rDp3I0maMGGCRo8ebZvPy8ur1iBz9Pt8nbdyHd6uQT1PNQ70qYaKAAC4tlRbiElISNCGDRu0c+dONWnSxLY8NDRUxcXFysnJsTsbk5WVpdDQUFubPXv22PVXefdSZZtf8vLykpeXl5OP4kLZ+UUKljRiVboOVSHE+Hi4aetf7iTIAABwhZweYizL0rPPPqt169Zp+/btioyMtFvfqVMneXh4KDk5WQMGDJAkZWRk6MSJE4qKipIkRUVFaerUqcrOzlZwcLAkacuWLfL391ebNm2cXbJD8s6VKFjS871b6roWXR3a9mh2vkauTtdPBcWEGAAArpDTQ0x8fLxWrFihf/3rX/Lz87NdwxIQECAfHx8FBARoyJAhGj16tIKCguTv769nn31WUVFRuu222yRJvXv3Vps2bTR48GDNmDFDmZmZevHFFxUfH18jZ1suR0SQj25qHFDbZQAAcM1yeohZsGCBJOmuu+6yW7548WL98Y9/lCS9/vrrcnV11YABA1RUVKSYmBi99dZbtrZubm7asGGDnnnmGUVFRalevXqKi4vTSy+95OxyAQCAoarl66Tf4u3trfnz52v+/PmXbNO0aVN9+OGHziwNAADUIfx2EgAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABjJvbYLQM05+n2+zlu5Dm3ToJ6nGgf6VFNFwDUm56RU+GNtV+EY34ZSYERtVwFc1FUdYubPn6/XXntNmZmZat++vebNm6euXbvWdlnGyc4vUrCkeas36qiV7tC23u6uWjC4k4Lre1VLbXUSb/o1w7RAUPiDtHqwVFJY25U4xsNXit/DaxpXpas2xKxevVqjR4/WwoUL1a1bN82ZM0cxMTHKyMhQcHBwbZdXK07lnNNPBcWOb/e9q3pYXnrD862q7XhF1Ta7ZvGmX/1yTkrzu5oZCP7wv5Jvo9qu5PL88JW0dqh0IsWswGgi/vFTJVdtiJk9e7aGDh2qP/3pT5KkhQsXauPGjfrHP/6h8ePH13J1V+Zodr7D2/xYUKyn303TuZKyKu2zmcdsrRrc3KEzKtn5RXrm3TSdLy2v0j693V31176tFeDj4dB2uedK9MrGI1e035o+e5SdX6S8cyXyyjmqiE9G6OSBZBUF3nRZ2/r7eNT+mS7T3kALf6wIMP3flhq1qO1qLp9p4+zbsCJ4rR1a25XUfR6+0mPvmhNwpavi9XxVhpji4mKlpaVpwoQJtmWurq6Kjo5WSkrKRbcpKipSUVGRbT43t+Laj7y8PKfWdja/QHlFVsV/Hezbvey8PMvP67llu6u0b28PV701sKOCfB0LBZIU6Osp70AfOVKxd31p6tAblFPo+NmfM4UlGrlqv36/+geHt5Ukb48QzanCsR77vkDj1x7U1qwANSuvV6V9O6ryWM+XlCtU5/W+l4cCNj3nUB/OfZVWgbuP1H9RxZuSCX48KhVZkle4VL9ZbVfjGCe/J1Ur1wBpcLJ07kxtV1K3Ff4orR0mvdO/titxjLuPNPQTKbCJU7ut/Gy1LOu3G1tXoVOnTlmSrN27d9stHzNmjNW1a9eLbpOYmGhJYmJiYmJiYqoD08mTJ38zL1yVZ2KqYsKECRo9erRtvry8XGfOnFHDhg3l4uLitP3k5eUpIiJCJ0+elL+/v9P6NRFjUYFxqMA4VGAcKjAOFRiHCo6Mg2VZOnv2rMLDw3+z36syxDRq1Ehubm7KysqyW56VlaXQ0NCLbuPl5SUvL/vrCgIDA6urRPn7+1/TL8ifYywqMA4VGIcKjEMFxqEC41DhcschICDgsvq7Kh925+npqU6dOik5Odm2rLy8XMnJyYqKiqrFygAAwNXiqjwTI0mjR49WXFycOnfurK5du2rOnDkqKCiw3a0EAACubVdtiHnsscf0/fffa9KkScrMzFSHDh20adMmhYSE1GpdXl5eSkxMvOCrq2sRY1GBcajAOFRgHCowDhUYhwrVNQ4ulnU59zABAABcXa7Ka2IAAAB+CyEGAAAYiRADAACMRIgBAABGIsRcxPz583XDDTfI29tb3bp10549e361/Zo1a9SqVSt5e3urbdu2+vDDD2uo0urlyDi8/fbb6tGjhxo0aKAGDRooOjr6N8fNJI6+JiqtWrVKLi4u6tevX/UWWEMcHYecnBzFx8crLCxMXl5eatGiRZ34++HoOMyZM0ctW7aUj4+PIiIiNGrUKJ0/f76Gqq0eO3fu1IMPPqjw8HC5uLho/fr1v7nN9u3bdeutt8rLy0s33XSTlixZUu11VjdHx2Ht2rW69957dd1118nf319RUVH6+OOPa6bYalSV10OlXbt2yd3dXR06dHB4v4SYX1i9erVGjx6txMRE7du3T+3bt1dMTIyys7Mv2n737t0aNGiQhgwZov3796tfv37q16+fvvzyyxqu3LkcHYft27dr0KBB+uSTT5SSkqKIiAj17t1bp06dquHKnc/Rsaj07bff6vnnn1ePHj1qqNLq5eg4FBcX695779W3336r9957TxkZGXr77bfVuHHjGq7cuRwdhxUrVmj8+PFKTEzUkSNH9M4772j16tX661//WsOVO1dBQYHat2+v+fPnX1b748ePq2/fvrr77ruVnp6ukSNH6qmnnjL+A9zRcdi5c6fuvfdeffjhh0pLS9Pdd9+tBx98UPv376/mSquXo+NQKScnR0888YR69epVtR1f+c811i1du3a14uPjbfNlZWVWeHi4NW3atIu2f/TRR62+ffvaLevWrZv15z//uVrrrG6OjsMvlZaWWn5+ftbSpUurq8QaU5WxKC0ttW6//Xbr73//uxUXF2c99NBDNVBp9XJ0HBYsWGA1a9bMKi4urqkSa4Sj4xAfH2/dc889dstGjx5tde/evVrrrEmSrHXr1v1qm7Fjx1o333yz3bLHHnvMiomJqcbKatbljMPFtGnTxkpKSnJ+QbXEkXF47LHHrBdffNFKTEy02rdv7/C+OBPzM8XFxUpLS1N0dLRtmaurq6Kjo5WSknLRbVJSUuzaS1JMTMwl25ugKuPwS4WFhSopKVFQUFB1lVkjqjoWL730koKDgzVkyJCaKLPaVWUc3n//fUVFRSk+Pl4hISG65ZZb9Morr6isrKymyna6qozD7bffrrS0NNtXTseOHdOHH36o+++/v0ZqvlrUxfdKZygvL9fZs2eNf6+sisWLF+vYsWNKTEysch9X7RN7a8MPP/ygsrKyC54KHBISov/7v/+76DaZmZkXbZ+ZmVltdVa3qozDL40bN07h4eEXvGmZpipj8dlnn+mdd95Renp6DVRYM6oyDseOHdO2bdsUGxurDz/8UEePHtXw4cNVUlJyRW9atakq4/D444/rhx9+0B133CHLslRaWqqnn37a+K+THHWp98q8vDydO3dOPj4+tVRZ7Zo5c6by8/P16KOP1nYpNerrr7/W+PHj9emnn8rdvepRhDMxcLpXX31Vq1at0rp16+Tt7V3b5dSos2fPavDgwXr77bfVqFGj2i6nVpWXlys4OFiLFi1Sp06d9Nhjj+mFF17QwoULa7u0GrV9+3a98soreuutt7Rv3z6tXbtWGzdu1JQpU2q7NNSyFStWKCkpSf/85z8VHBxc2+XUmLKyMj3++ONKSkpSixYtrqgvzsT8TKNGjeTm5qasrCy75VlZWQoNDb3oNqGhoQ61N0FVxqHSzJkz9eqrr2rr1q1q165ddZZZIxwdi2+++UbffvutHnzwQduy8vJySZK7u7syMjJ04403Vm/R1aAqr4mwsDB5eHjIzc3Ntqx169bKzMxUcXGxPD09q7Xm6lCVcZg4caIGDx6sp556SpLUtm1bFRQUaNiwYXrhhRfk6npt/FvyUu+V/v7+1+RZmFWrVumpp57SmjVrjD9j7aizZ8/qiy++0P79+5WQkCCp4n3Ssiy5u7tr8+bNuueeey6rr2vjb89l8vT0VKdOnZScnGxbVl5eruTkZEVFRV10m6ioKLv2krRly5ZLtjdBVcZBkmbMmKEpU6Zo06ZN6ty5c02UWu0cHYtWrVrp4MGDSk9Pt02/+93vbHdkRERE1GT5TlOV10T37t119OhRW4iTpK+++kphYWFGBhipauNQWFh4QVCpDHbWNfTTdXXxvbKqVq5cqT/96U9auXKl+vbtW9vl1Dh/f/8L3ieffvpptWzZUunp6erWrdvld+bwpcB13KpVqywvLy9ryZIl1uHDh61hw4ZZgYGBVmZmpmVZljV48GBr/Pjxtva7du2y3N3drZkzZ1pHjhyxEhMTLQ8PD+vgwYO1dQhO4eg4vPrqq5anp6f13nvvWf/9739t09mzZ2vrEJzG0bH4pbpyd5Kj43DixAnLz8/PSkhIsDIyMqwNGzZYwcHB1ssvv1xbh+AUjo5DYmKi5efnZ61cudI6duyYtXnzZuvGG2+0Hn300do6BKc4e/astX//fmv//v2WJGv27NnW/v37re+++86yLMsaP368NXjwYFv7Y8eOWb6+vtaYMWOsI0eOWPPnz7fc3NysTZs21dYhOIWj47B8+XLL3d3dmj9/vt17ZU5OTm0dglM4Og6/VNW7kwgxFzFv3jzr+uuvtzw9Pa2uXbtan3/+uW3dnXfeacXFxdm1/+c//2m1aNHC8vT0tG6++WZr48aNNVxx9XBkHJo2bWpJumBKTEys+cKrgaOviZ+rKyHGshwfh927d1vdunWzvLy8rGbNmllTp061SktLa7hq53NkHEpKSqzJkydbN954o+Xt7W1FRERYw4cPt3766aeaL9yJPvnkk4v+na889ri4OOvOO++8YJsOHTpYnp6eVrNmzazFixfXeN3O5ug43Hnnnb/a3lRVeT38XFVDjItlXUPnMwEAQJ3BNTEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAwGXbuXOnHnzwQYWHh8vFxUXr1693uA/LsjRz5ky1aNFCXl5eaty4saZOnepwP/wAJAAAuGwFBQVq3769nnzySfXv379KfYwYMUKbN2/WzJkz1bZtW505c0ZnzpxxuB+e2AsAAKrExcVF69atU79+/WzLioqK9MILL2jlypXKycnRLbfcounTp+uuu+6SJB05ckTt2rXTl19+qZYtW17R/vk6CQAAOE1CQoJSUlK0atUq/fvf/9Yjjzyi++67T19//bUk6YMPPlCzZs20YcMGRUZG6oYbbtBTTz1VpTMxhBgAAOAUJ06c0OLFi7VmzRr16NFDN954o55//nndcccdWrx4sSTp2LFj+u6777RmzRotW7ZMS5YsUVpamh5++GGH98c1MQAAwCkOHjyosrIytWjRwm55UVGRGjZsKEkqLy9XUVGRli1bZmv3zjvvqFOnTsrIyHDoKyZCDAAAcIr8/Hy5ubkpLS1Nbm5uduvq168vSQoLC5O7u7td0GndurWkijM5hBgAAFDjOnbsqLKyMmVnZ6tHjx4XbdO9e3eVlpbqm2++0Y033ihJ+uqrryRJTZs2dWh/3J0EAAAuW35+vo4ePSqpIrTMnj1bd999t4KCgnT99dfrD3/4g3bt2qVZs2apY8eO+v7775WcnKx27dqpb9++Ki8vV5cuXVS/fn3NmTNH5eXlio+Pl7+/vzZv3uxQLYQYAABw2bZv36677777guVxcXFasmSJSkpK9PLLL2vZsmU6deqUGjVqpNtuu01JSUlq27atJOn06dN69tlntXnzZtWrV099+vTRrFmzFBQU5FAthBgAAGAkbrEGAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEj/D5BvmS5xkp4SAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 745264 district pop vs 784489 target\n",
      "we'll also trim any HD with total islands' pop <= 15689\n",
      "working on HD 2\n",
      "working on HD 1902\n",
      "Out of 241 discontig HDs 241 had discontig HDs.\n",
      "Of these, 200 won't be under 745264 after all minor discontigys were shed, while 41 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 2\n",
      "There are 41 HDs still with both discontinuity problems\n",
      "Additionally, 140 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0 0 seconds elapsed\n",
      "working on enclave-generating HD 1006 0 seconds elapsed\n",
      "working on enclave-generating HD 1797 1 seconds elapsed\n",
      "working on enclave-generating HD 2305 2 seconds elapsed\n",
      "Out of 1507 HDpolys that generated enclaves, 0 had contiguous adjrs, while 1388 neighbored a state boundary while 119 had only internal enclaves\n"
     ]
    }
   ],
   "source": [
    "print(\"Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t,int(time.time()-startTime),\"seconds elapsed\")\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 823713 district pop vs 784489 target\n",
      "working on enclave-y HD 21 . We have evaluated 0 of 1507 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 124 . We have evaluated 200 of 1507 enclavy HDs.Time is now 12\n",
      "working on enclave-y HD 585 . We have evaluated 400 of 1507 enclavy HDs.Time is now 21\n",
      "working on enclave-y HD 1044 . We have evaluated 600 of 1507 enclavy HDs.Time is now 31\n",
      "working on enclave-y HD 1417 . We have evaluated 800 of 1507 enclavy HDs.Time is now 45\n",
      "working on enclave-y HD 1740 . We have evaluated 1000 of 1507 enclavy HDs.Time is now 57\n",
      "working on enclave-y HD 2026 . We have evaluated 1200 of 1507 enclavy HDs.Time is now 63\n",
      "working on enclave-y HD 183 . We have evaluated 1400 of 1507 enclavy HDs.Time is now 74\n",
      "Out of 1507 HDs with enclaves 1507 had enclaves.\n",
      "Of these, 1353 wouldn't be over 823713 if all enclaves filled, while 154 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%200 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "119 1388 157 128\n",
      "154 154 1353\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.10199 0.15382\n",
      "CCB cluster 0 = unit 1880 with pop 14658.0 now has use of 1.0337670720982766\n",
      "CCB cluster 1 = unit 1881 with pop 147963.0 now has use of 1.0206923206453198\n",
      "CCB cluster 2 = unit 1882 with pop 24298.0 now has use of 1.0228555119503566\n",
      "CCB cluster 3 = unit 1883 with pop 45695.0 now has use of 1.0105851056439137\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 154 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {1880, 1881, 1882, 1883}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 912\n",
      "working on avg unit-to-HDcp dist for HD 1846\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 154 HDs\n",
      "working on HD 1 cantFill 0 of 154 .Time is now 0\n",
      "working on HD 127 cantFill 20 of 154 .Time is now 1\n",
      "working on HD 550 cantFill 40 of 154 .Time is now 2\n",
      "working on HD 822 cantFill 60 of 154 .Time is now 2\n",
      "working on HD 1243 cantFill 80 of 154 .Time is now 2\n",
      "working on HD 1475 cantFill 100 of 154 .Time is now 3\n",
      "working on HD 2034 cantFill 120 of 154 .Time is now 3\n",
      "working on HD 2339 cantFill 140 of 154 .Time is now 4\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.10171 0.15386\n",
      "CCB cluster 0 = unit 1880 with pop 14658.0 now has use of 1.0447793347288217\n",
      "CCB cluster 1 = unit 1881 with pop 147963.0 now has use of 1.0206923206453198\n",
      "CCB cluster 2 = unit 1882 with pop 24298.0 now has use of 1.1241660336644215\n",
      "CCB cluster 3 = unit 1883 with pop 45695.0 now has use of 1.0105851056439137\n"
     ]
    },
    {
     "data": {
      "image/png": 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KTEz0PdLS0oLZDQAAMMoYcZXQpk2b9O6772rXrl1qaWnRhg0btGTJEu3bty/g/KqqKnV3d/sep06dGuaOAQDAcBoXzOSkpCRZLBZ1dHT4jXd0dCg1NTXgNqmpqVed39fXp1WrVmnHjh2aP3++JOlLX/qS2tratH79+sveTpKk2NhYxcbGBtM6AAAYxYIKLFarVXPmzFFTU5OKi4slSR6PR01NTaqoqAi4TX5+vpqamlRZWekb27t3r/Lz8yVJFy9e1MWLFxUd7b/YY7FY5PF4gmkPQAQ70dkblrqT4q2yT7SFpTaA0AkqsEifXoJcVlam7Oxs5ebmqqamRm63W+Xl5ZKk0tJS2e12OZ1OSdKyZctUUFCgDRs2aP78+dq2bZsOHz6sLVu2SJISEhJUUFCgFStWyGaz6eabb9aBAwf0k5/8RBs3bgzhrgIYjSbFW2WLsaiyoS0s9W0xFu1bXkBoAQwXdGApKSnRmTNntHbtWrlcLmVlZamxsdF3Yu3Jkyf9Vkvmzp2r+vp6rV69WqtWrdL06dO1c+dOZWRk+OZs27ZNVVVVevzxx/XHP/5RN998s/7hH/5BixcvDsEuAhjN7BNt2re8QGfdAyGvfaKzV5UNbTrrHiCwAIaL8nq93pFu4nr19PQoMTFR3d3dSkhIGOl2YJij7d16cNM72r10njLsiSPdDgzC7wYwsoJ5/TbiKiEAAICrIbAAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjDdupBsALmk/16ez7oGQ1z3R2RvymgCA4UVggRHaz/WpcMMB9V0cDEt9W4xFk+KtYakNAAg/AguMcNY9oL6Lg6opydK05PEhrz8p3ir7RFvI6wIAhgeBBUaZljxeGfbEkW4DAGAYTroFAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4w0psNTW1io9PV1xcXHKy8vToUOHrjp/+/btmjlzpuLi4jR79mzt2bPnsjnvv/++vv71rysxMVHx8fHKycnRyZMnh9IeAACIMEEHloaGBjkcDlVXV6u1tVWZmZkqKipSZ2dnwPkHDx7UwoUL9eSTT+rIkSMqLi5WcXGxjh496pvzP//zP5o3b55mzpyp/fv369e//rXWrFmjuLi4oe8ZAACIGFFer9cbzAZ5eXnKycnR5s2bJUkej0dpaWlaunSpVq5cedn8kpISud1u7d692zd21113KSsrS3V1dZKkRx99VDExMfrpT386pJ3o6elRYmKiuru7lZCQMKQaGFlH27v14KZ3tHvpPGXYE0e6HYwR/N4BIyuY1++gVlgGBgbU0tKiwsLCzwpER6uwsFDNzc0Bt2lubvabL0lFRUW++R6PR2+88YZuu+02FRUVKTk5WXl5edq5c+cV++jv71dPT4/fAwAARK6gAktXV5cGBweVkpLiN56SkiKXyxVwG5fLddX5nZ2d6u3t1XPPPaf7779fv/jFL/SNb3xDf/3Xf60DBw4ErOl0OpWYmOh7pKWlBbMbAABglBnxq4Q8Ho8k6a/+6q/09NNPKysrSytXrtSDDz7oe8voz1VVVam7u9v3OHXq1HC2DAAAhtm4YCYnJSXJYrGoo6PDb7yjo0OpqakBt0lNTb3q/KSkJI0bN06zZs3ym3P77bfrnXfeCVgzNjZWsbGxwbQOAABGsaBWWKxWq+bMmaOmpibfmMfjUVNTk/Lz8wNuk5+f7zdfkvbu3eubb7ValZOTo+PHj/vN+fDDD3XzzTcH0x4AAIhQQa2wSJLD4VBZWZmys7OVm5urmpoaud1ulZeXS5JKS0tlt9vldDolScuWLVNBQYE2bNig+fPna9u2bTp8+LC2bNniq7lixQqVlJTonnvu0X333afGxkb9x3/8h/bv3x+avQQAAKNa0IGlpKREZ86c0dq1a+VyuZSVlaXGxkbfibUnT55UdPRnCzdz585VfX29Vq9erVWrVmn69OnauXOnMjIyfHO+8Y1vqK6uTk6nU9/5znc0Y8YM/du//ZvmzZsXgl0EAACjXdD3YTER92EZ/bgfBkYCv3fAyArbfVgAAABGAoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAw3riRbgAARtqJzt6w1J0Ub5V9oi0stYGxhsACYMyaFG+VLcaiyoa2sNS3xVi0b3kBoQUIAQILgDHLPtGmfcsLdNY9EPLaJzp7VdnQprPuAQILEAIEFgBjmn2ijUABjAKcdAsAAIzHCguC1n6uL+RL6OE66REAEBkILAhK+7k+FW44oL6LgyGvbYuxaFK8NeR1AQCjH4EFQTnrHlDfxUHVlGRpWvL4kNbmElAAwJUQWDAk05LHK8OeONJtAADGCE66BQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgvCEFltraWqWnpysuLk55eXk6dOjQVedv375dM2fOVFxcnGbPnq09e/Zcce7ixYsVFRWlmpqaobQGAAAiUNCBpaGhQQ6HQ9XV1WptbVVmZqaKiorU2dkZcP7Bgwe1cOFCPfnkkzpy5IiKi4tVXFyso0ePXjZ3x44devfddzVlypTg9wQAAESsoAPLxo0btWjRIpWXl2vWrFmqq6vTDTfcoK1btwac/8ILL+j+++/XihUrdPvtt+vZZ5/VnXfeqc2bN/vNa29v19KlS/Xqq68qJiZmaHsDAAAiUlA3jhsYGFBLS4uqqqp8Y9HR0SosLFRzc3PAbZqbm+VwOPzGioqKtHPnTt/XHo9HTzzxhFasWKEvfvGLn9tHf3+/+vv7fV/39PQEsxsAMGzC8TlZ3BUaY1FQgaWrq0uDg4NKSUnxG09JSdEHH3wQcBuXyxVwvsvl8n39gx/8QOPGjdN3vvOda+rD6XRq3bp1wbQOAMNqUrxVthiLKhvaQl7bFmPRvuUFhBaMKSN+a/6Wlha98MILam1tVVRU1DVtU1VV5bdq09PTo7S0tHC1CABBs0+0ad/ygrB8snllQ5vOugcILBhTggosSUlJslgs6ujo8Bvv6OhQampqwG1SU1OvOv+Xv/ylOjs7ddNNN/meHxwc1PLly1VTU6Pf/e53l9WMjY1VbGxsMK0DwLCzT7QRKoAQCeqkW6vVqjlz5qipqck35vF41NTUpPz8/IDb5Ofn+82XpL179/rmP/HEE/r1r3+ttrY232PKlClasWKFfv7znwe7PwAAIAIF/ZaQw+FQWVmZsrOzlZubq5qaGrndbpWXl0uSSktLZbfb5XQ6JUnLli1TQUGBNmzYoPnz52vbtm06fPiwtmzZIkmaPHmyJk+e7Pc9YmJilJqaqhkzZlzv/gEAgAgQdGApKSnRmTNntHbtWrlcLmVlZamxsdF3Yu3JkycVHf3Zws3cuXNVX1+v1atXa9WqVZo+fbp27typjIyM0O0FAACIaEM66baiokIVFRUBn9u/f/9lYwsWLNCCBQuuuX6g81YAAMDYxWcJAQAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxxo10AwCA4J3o7A1L3UnxVtkn2sJSG7geBBYAGEUmxVtli7GosqEtLPVtMRbtW15AaIFxCCwAMIrYJ9q0b3mBzroHQl77RGevKhvadNY9QGCBcQgsADDK2CfaCBQYc4Z00m1tba3S09MVFxenvLw8HTp06Krzt2/frpkzZyouLk6zZ8/Wnj17fM9dvHhR3/ve9zR79mzFx8drypQpKi0t1enTp4fSGgAAiEBBB5aGhgY5HA5VV1ertbVVmZmZKioqUmdnZ8D5Bw8e1MKFC/Xkk0/qyJEjKi4uVnFxsY4ePSpJunDhglpbW7VmzRq1trbq9ddf1/Hjx/X1r3/9+vYMAABEjCiv1+sNZoO8vDzl5ORo8+bNkiSPx6O0tDQtXbpUK1euvGx+SUmJ3G63du/e7Ru76667lJWVpbq6uoDf41e/+pVyc3P1+9//XjfddNPn9tTT06PExER1d3crISEhmN1BkI62d+vBTe9o99J5yrAnjnQ7AEKIv98YbsG8fge1wjIwMKCWlhYVFhZ+ViA6WoWFhWpubg64TXNzs998SSoqKrrifEnq7u5WVFSUJk6cGPD5/v5+9fT0+D0AAEDkCiqwdHV1aXBwUCkpKX7jKSkpcrlcAbdxuVxBzf/kk0/0ve99TwsXLrxi2nI6nUpMTPQ90tLSgtkNAAAwyhh1p9uLFy/qkUcekdfr1YsvvnjFeVVVVeru7vY9Tp06NYxdAgCA4RbUZc1JSUmyWCzq6OjwG+/o6FBqamrAbVJTU69p/qWw8vvf/15vvvnmVd/Lio2NVWxsbDCtAwCAUSyoFRar1ao5c+aoqanJN+bxeNTU1KT8/PyA2+Tn5/vNl6S9e/f6zb8UVn77299q3759mjx5cjBtAQCACBf0jeMcDofKysqUnZ2t3Nxc1dTUyO12q7y8XJJUWloqu90up9MpSVq2bJkKCgq0YcMGzZ8/X9u2bdPhw4e1ZcsWSZ+Glb/5m79Ra2urdu/ercHBQd/5LTfeeKOsVmuo9hUAAIxSQQeWkpISnTlzRmvXrpXL5VJWVpYaGxt9J9aePHlS0dGfLdzMnTtX9fX1Wr16tVatWqXp06dr586dysjIkCS1t7dr165dkqSsrCy/7/XWW2/p3nvvHeKuAQCASDGkW/NXVFSooqIi4HP79++/bGzBggVasGBBwPnp6ekK8lYwAABgjOGzhCJU+7m+sH04GgAAw43AEoHaz/WpcMMB9V0cDEt9W4xFk+I5twgAMHwILBHorHtAfRcHVVOSpWnJ40Nef1K8lU+KBQAMKwJLBJuWPJ7PAwEQtHC89cv/6OB6EVgAAJI+DRW2GIsqG9pCXtsWY9G+5QWEFgwZgQUAIEmyT7Rp3/KCkJ+wf6KzV5UNbTrrHiCwYMgILAAAH/tEG6ECRjLqww8BAAACIbAAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeONGugEAAK5H+7k+nXUPhLzupHir7BNtIa+LoSGwAABGrfZzfSrccEB9FwdDXtsWY9G+5QWEFkMQWAAAw+JEZ29YavZdHFRNSZamJY8Pad3KhjaddQ8QWAxBYBlh4VjKDMc/CgAwVJPirbLFWFTZ0BaW+rYYi3JuuZFgEeEILCMo3EuZk+KtIa8LAMGyT7Rp3/KCsJxnInGuyVhBYBlBZ90DYVnKlPgLDMAs9ok2/k3CdSGwGGBa8nhl2BNHug0AAIzFfVgAAIDxCCwAAMB4vCUEAMAVhOuqS84zDB6BBQCAPzMcl2KH46Z04brrrzTyIWtIgaW2tlbPP/+8XC6XMjMztWnTJuXm5l5x/vbt27VmzRr97ne/0/Tp0/WDH/xADzzwgO95r9er6upq/ehHP9K5c+d0991368UXX9T06dOH0h4AANclnJdiX7op3a8+/qPOhvAK0T+4B7T4py1huVWGNPJ3/g06sDQ0NMjhcKiurk55eXmqqalRUVGRjh8/ruTk5MvmHzx4UAsXLpTT6dSDDz6o+vp6FRcXq7W1VRkZGZKkH/7wh/qnf/onvfLKK7rlllu0Zs0aFRUV6dixY4qLi7v+vQQAIEjhuhQ7nKs3thiLXvlmriaH+D5cJtz5N8rr9XqD2SAvL085OTnavHmzJMnj8SgtLU1Lly7VypUrL5tfUlIit9ut3bt3+8buuusuZWVlqa6uTl6vV1OmTNHy5cv13e9+V5LU3d2tlJQUvfzyy3r00Uc/t6eenh4lJiaqu7tbCQkJwezONQnXEtulX4DdS+dxWTMAjCGj7QMbj7Z368FN74T89SqY1++gVlgGBgbU0tKiqqoq31h0dLQKCwvV3NwccJvm5mY5HA6/saKiIu3cuVOS9PHHH8vlcqmwsND3fGJiovLy8tTc3BwwsPT396u/v9/3dXd3t6RPdzzUTp/r09c3v6NPLnpCXluS4mKiNW7wE/X0RIWlPgDAPBOipQkTwvHv/kX19FwMedXe8z3y9F9Q7/mekL5eXXrdvpa1k6ACS1dXlwYHB5WSkuI3npKSog8++CDgNi6XK+B8l8vle/7S2JXm/Dmn06l169ZdNp6WlnZtO2KY258f6Q4AAPh8+TXhqXv+/HklJl595WZUXiVUVVXlt2rj8Xj0xz/+UZMnT1ZUFCsVV9PT06O0tDSdOnUqLG+fjTUcz9DjmIYexzT0OKah4fV6df78eU2ZMuVz5wYVWJKSkmSxWNTR0eE33tHRodTU1IDbpKamXnX+pf92dHToC1/4gt+crKysgDVjY2MVGxvrNzZx4sRgdmXMS0hI4C9ZCHE8Q49jGnoc09DjmF6/z1tZuSSoO91arVbNmTNHTU1NvjGPx6Ompibl5+cH3CY/P99vviTt3bvXN/+WW25Ramqq35yenh7993//9xVrAgCAsSXot4QcDofKysqUnZ2t3Nxc1dTUyO12q7y8XJJUWloqu90up9MpSVq2bJkKCgq0YcMGzZ8/X9u2bdPhw4e1ZcsWSVJUVJQqKyv193//95o+fbrvsuYpU6aouLg4dHsKAABGraADS0lJic6cOaO1a9fK5XIpKytLjY2NvpNmT548qejozxZu5s6dq/r6eq1evVqrVq3S9OnTtXPnTt89WCTpmWeekdvt1re+9S2dO3dO8+bNU2NjI/dgCYPY2FhVV1df9pYahobjGXoc09DjmIYex3T4BX0fFgAAgOHGpzUDAADjEVgAAIDxCCwAAMB4BBYAAGA8AkuEqa2tVXp6uuLi4pSXl6dDhw5ddX5NTY1mzJghm82mtLQ0Pf300/rkk0+GqVvzvf3223rooYc0ZcoURUVF+T4D62r279+vO++8U7GxsZo2bZpefvnlsPc5mgR7TF9//XV99atf1V/8xV8oISFB+fn5+vnPfz48zY4SQ/k9veS//uu/NG7cuCveqHMsGsrx7O/v1/e//33dfPPNio2NVXp6urZu3Rr+ZscQAksEaWhokMPhUHV1tVpbW5WZmamioiJ1dnYGnF9fX6+VK1equrpa77//vn784x+roaFBq1atGubOzeV2u5WZmana2tprmv/xxx9r/vz5uu+++9TW1qbKyko99dRTvMD+H8Ee07fffltf/epXtWfPHrW0tOi+++7TQw89pCNHjoS509Ej2GN6yblz51RaWqqvfOUrYepsdBrK8XzkkUfU1NSkH//4xzp+/Lhee+01zZgxI4xdjkFeRIzc3FzvkiVLfF8PDg56p0yZ4nU6nQHnL1myxPvlL3/Zb8zhcHjvvvvusPY5Wkny7tix46pznnnmGe8Xv/hFv7GSkhJvUVFRGDsbva7lmAYya9Ys77p160LfUAQI5piWlJR4V69e7a2urvZmZmaGta/R6lqO53/+5396ExMTvX/4wx+Gp6kxihWWCDEwMKCWlhYVFhb6xqKjo1VYWKjm5uaA28ydO1ctLS2+t40++ugj7dmzRw888MCw9ByJmpub/X4GklRUVHTFnwGC5/F4dP78ed14440j3cqo9tJLL+mjjz5SdXX1SLcy6u3atUvZ2dn64Q9/KLvdrttuu03f/e531dfXN9KtRZRR+WnNuFxXV5cGBwd9dxy+JCUlRR988EHAbR577DF1dXVp3rx58nq9+tOf/qTFixfzltB1cLlcAX8GPT096uvrk81mG6HOIsf69evV29urRx55ZKRbGbV++9vfauXKlfrlL3+pceN4GbheH330kd555x3FxcVpx44d6urq0re//W394Q9/0EsvvTTS7UUMVljGsP379+sf//Ef9c///M9qbW3V66+/rjfeeEPPPvvsSLcGBFRfX69169bpZz/7mZKTk0e6nVFpcHBQjz32mNatW6fbbrttpNuJCB6PR1FRUXr11VeVm5urBx54QBs3btQrr7zCKksIEa0jRFJSkiwWizo6OvzGOzo6lJqaGnCbNWvW6IknntBTTz0lSZo9e7bvM52+//3v+30mFK5NampqwJ9BQkICqyvXadu2bXrqqae0ffv2y952w7U7f/68Dh8+rCNHjqiiokLSpy+4Xq9X48aN0y9+8Qt9+ctfHuEuR5cvfOELstvtSkxM9I3dfvvt8nq9+t///V9Nnz59BLuLHLwiRQir1ao5c+aoqanJN+bxeNTU1KT8/PyA21y4cOGyUGKxWCRJXj5iakjy8/P9fgaStHfv3iv+DHBtXnvtNZWXl+u1117T/PnzR7qdUS0hIUG/+c1v1NbW5nssXrxYM2bMUFtbm/Ly8ka6xVHn7rvv1unTp9Xb2+sb+/DDDxUdHa2pU6eOYGeRhRWWCOJwOFRWVqbs7Gzl5uaqpqZGbrdb5eXlkqTS0lLZ7XY5nU5J0kMPPaSNGzfqjjvuUF5enk6cOKE1a9booYce8gWXsa63t1cnTpzwff3xxx+rra1NN954o2666SZVVVWpvb1dP/nJTyRJixcv1ubNm/XMM8/om9/8pt5880397Gc/0xtvvDFSu2CcYI9pfX29ysrK9MILLygvL08ul0uSZLPZ/P6PdiwL5phGR0crIyPDb/vk5GTFxcVdNj5WBfs7+thjj+nZZ59VeXm51q1bp66uLq1YsULf/OY3WVkNpZG9SAmhtmnTJu9NN93ktVqt3tzcXO+7777re66goMBbVlbm+/rixYvev/u7v/P+5V/+pTcuLs6blpbm/fa3v+09e/bs8DduqLfeessr6bLHpeNYVlbmLSgouGybrKwsr9Vq9d56663el156adj7Nlmwx7SgoOCq8zG039P/i8ua/Q3leL7//vvewsJCr81m806dOtXrcDi8Fy5cGP7mI1iU18vaPwAAMBvnsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgvP8HZD0IlcWDA+4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66e91b98-63a9-47db-af63-039ac47b1835",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "out of 2108 total HDs, there were 2054 39 0 15 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 1193\n",
      "working on current HD diam for HD number 2324\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 39225 but less than 196122\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 54 HDs to triage in this block\n",
      "working on swell-filling discontig HD 57 our 1 th HD we think we can swell out of 54 0.0 sec elapsed\n",
      "working on swell-filling discontig HD 747 our 41 th HD we think we can swell out of 54 20.249 sec elapsed\n",
      "we partially regrew 36 HDs, leaving 18 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.10171 0.15386\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.10005 0.14886\n",
      "CCB cluster 0 = unit 1880 with pop 14658.0 now has use of 1.0484160965397884\n",
      "CCB cluster 1 = unit 1881 with pop 147963.0 now has use of 1.0206923206453198\n",
      "CCB cluster 2 = unit 1882 with pop 24298.0 now has use of 1.1241660336644215\n",
      "CCB cluster 3 = unit 1883 with pop 45695.0 now has use of 1.0105851056439137\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1193 time is now 3\n",
      "working on HD 2324 time is now 6\n",
      "out of 2108 total HDs, there were 2090.0 contiguous and 2105.0 complement-contiguous HDs\n",
      "3 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 15\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 18 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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HHyk1NdV6rRXOVLCcnBwjyeTk5Fhf97afsk3T8Z+abT9lW1+3t/hizQDKpqCgwOzcudMUFBS4zziwxZiUsBP/620ebuvo0aMmODjYrF271m36sGHDzKBBg4wxxnz55ZdGklm6dKlr/sKFC40k174mJCSYpKSkUrfTtGlT8/e//73U+fPmzTN169Z1jc+fP9+EhISYvLw8Y8yJ75JatWqZRYsWGWOMee+990zLli1NSUmJa5nCwkITFBRkPv/887Pud0pKiunYseNZ2xljjCRz7733uk3r3r27GTFihDHGmDfeeMPUqVPH5ObmuuYvXLjQ1KhRwxw6dMgYY8zgwYNNZGSka3+MMWb69OkmJCTEFBcXl6kObyj1mDVl//7mjAUAwCUjI0P5+fm66qqrFBIS4hreffdd7dmzx61thw4dXH9HR0dLkrKysiRJ6enp6t27d5m3u3TpUvXu3VuNGjVSaGiobr/9dv3222+uyxzXXHONAgIC9Mknn0iS/ud//kdhYWFKTEyUJG3dulUZGRkKDQ111RwZGamjR4+eUrcNCQkJp4yfPGOxa9cudezYUbVr13bN79Gjh0pKStwuF3Xs2FHBwcFu68jNzdX+/fut11uRuHkTAOBy8j6AhQsXqlGjRm7zHA6H23hAQIDrbz8/P0kn7s+QpKCgsr8S/scff9R1112nESNG6Omnn1ZkZKRWr16tYcOGqaioSMHBwQoMDNQtt9yi2bNna+DAgZo9e7YGDBigmjVruuq++OKLNWvWrFPWX79+/TLXgnPHGQsAgEubNm3kcDi0b98+xcfHuw2xsWX/VUmHDh20bNmyMrXdvHmzSkpKNGXKFF1yySVq0aKFfv7551PaJSUlafHixdqxY4eWL1+upKQk17zOnTvr+++/V1RU1Cl1h4eHl7nuslq/fv0p461bt5YktW7dWlu3blVeXp5r/po1a1SjRg21bNnSNW3r1q0qKChwW0dISIhH/VwVESwAAC6hoaF6+OGH9eCDD+qdd97Rnj179M0332jatGl65513yryelJQUzZkzRykpKdq1a5e2bdumZ5999rRt4+PjdezYMU2bNk0//PCD3nvvPb322muntOvZs6caNmyopKQkxcXFqXv37q55SUlJqlevnm644QZ99dVXyszM1IoVK3T//ffrp59+KrXOjIwMpaen69ChQyooKFB6errS09PPesPnvHnz9Pbbb+u7775TSkqKvv76a9fNmUlJSapVq5YGDx6s7du368svv9R9992n22+/XQ0aNHCto6ioSMOGDdPOnTv12WefKSUlRaNHj1aNGr791cylEACoLP/5rkpu46mnnlL9+vWVlpamH374QREREercubMee+yxMq/jiiuu0Lx58/TUU09p8uTJCgsLU8+ePU/btmPHjpo6daqeffZZJScnq2fPnkpLS9Mdd9zh1s7Pz0+DBg3Sc889p4kTJ7rNCw4O1qpVqzR+/HjddNNNOnLkiBo1aqTevXsrLCys1Drvuusut1+7dOrUSZKUmZmpCy64oNTlUlNTNXfuXI0cOVLR0dGaM2eO2rRp46rl888/1wMPPKCuXbsqODhYN998s6ZOneq2jt69e6t58+bq2bOnCgsLNWjQIE2aNKnUbfoKP2OMqcgNOp1OhYeHKycn54z/Z5fH9gM5um7aan1632Vq18j+qS9v8MWaAZTN0aNHlZmZqbi4ONWqVev/Z/DkTZ/m5+en+fPnq3///uVex5AhQ5Sdna0FCxZYq8uGUo9Zlf37mzMWAFDRImJPfNGfx+8KQfVFsACAyhARy5c9qiWCBQAAHrBxB8HMmTPPvZAqyrdvPQUAAFUKwQIAAFhDsAAAL6vgH98B5WbjWCVYAICXnHzk9cn3XQBV3clj9Y+Pa/cUN28CgJf4+/srIiLC9WKu4OBg1zs1gKrEGKP8/HxlZWUpIiJC/v7+5V4XwQIAvKhhw4aS/v+tn0BVFhER4Tpmy4tgAQBe5Ofnp+joaEVFRenYsWOVXQ5QqoCAgHM6U3ESwQIAKoC/v7+V/2gDVR03bwIAAGs8ChYXXHCB/Pz8ThlGjRrlrfoAAIAP8ehSyMaNG1VcXOwa3759u6666irdeuut1gsDAAC+x6NgUb9+fbfxyZMn68ILL1SvXr2sFgUAAHxTuW/eLCoq0r/+9S+NHTv2jL/LLiwsVGFhoWvc6XSWd5MAAKCKK/fNmwsWLFB2draGDBlyxnZpaWkKDw93DbGxvCYYAIDqqtzB4q233lK/fv0UExNzxnbJycnKyclxDfv37y/vJgEAQBVXrkshe/fu1dKlS/XRRx+dta3D4ZDD4SjPZgAAgI8p1xmLGTNmKCoqStdee63tegAAgA/zOFiUlJRoxowZGjx4sGrW5MGdAADg/3kcLJYuXap9+/bpzjvv9EY9AADAh3l8yqFPnz4yxnijFgAA4ON4VwgAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwxuNgceDAAf31r39V3bp1FRQUpPbt22vTpk3eqA0AAPiYmp40Pnz4sHr06KErr7xSixYtUv369fX999+rTp063qoPAAD4EI+CxbPPPqvY2FjNmDHDNS0uLs56UQAAwDd5dCnkk08+UZcuXXTrrbcqKipKnTp10ptvvnnGZQoLC+V0Ot0GAABQPXkULH744QdNnz5dzZs31+eff64RI0bo/vvv1zvvvFPqMmlpaQoPD3cNsbGx51w0AAComjwKFiUlJercubOeeeYZderUSXfffbeGDx+u1157rdRlkpOTlZOT4xr2799/zkUDAICqyaNgER0drTZt2rhNa926tfbt21fqMg6HQ2FhYW4DAAConjwKFj169NDu3bvdpn333Xdq2rSp1aIAAIBv8ihYPPjgg1q/fr2eeeYZZWRkaPbs2XrjjTc0atQob9UHAAB8iEfBomvXrpo/f77mzJmjdu3a6amnntKLL76opKQkb9UHAAB8iEfPsZCk6667Ttddd503agEAAD6Od4UAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAazwKFpMmTZKfn5/b0KpVK2/VBgAAfExNTxdo27atli5d+v8rqOnxKgAAQDXlcSqoWbOmGjZs6I1aAACAj/P4Hovvv/9eMTExatasmZKSkrRv374zti8sLJTT6XQbAABA9eRRsOjevbtmzpypxYsXa/r06crMzNTll1+uI0eOlLpMWlqawsPDXUNsbOw5Fw0AAKomj4JFv379dOutt6pDhw7q27evPvvsM2VnZ+uDDz4odZnk5GTl5OS4hv37959z0QAAoGo6pzsvIyIi1KJFC2VkZJTaxuFwyOFwnMtmAACAjzin51jk5uZqz549io6OtlUPAADwYR4Fi4cfflgrV67Ujz/+qLVr1+rGG2+Uv7+/Bg0a5K36AACAD/HoUshPP/2kQYMG6bffflP9+vV12WWXaf369apfv7636gMAAD7Eo2Axd+5cb9UBAACqAd4VAgAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKw5p2AxefJk+fn5acyYMZbKAQAAvqzcwWLjxo16/fXX1aFDB5v1AAAAH1auYJGbm6ukpCS9+eabqlOnju2aAACAj6pZnoVGjRqla6+9VomJifrb3/52xraFhYUqLCx0jTudzvJsEjgvHcgu0OG8osouwyN1ageqUURQZZcBoJJ4HCzmzp2rb775Rhs3bixT+7S0NKWmpnpcGHC+O5BdoMQpK1VwrLiyS/FIUIC/lj7Ui3ABnKc8Chb79+/XAw88oCVLlqhWrVplWiY5OVljx451jTudTsXGxnpWJXAeOpxXpIJjxXpxwEWKjwqp7HLKJCMrV2PeT9fhvCKCBXCe8ihYbN68WVlZWercubNrWnFxsVatWqVXXnlFhYWF8vf3d1vG4XDI4XDYqRY4D8VHhahdo/DKLgMAysSjYNG7d29t27bNbdrQoUPVqlUrjR8//pRQAQAAzi8eBYvQ0FC1a9fObVrt2rVVt27dU6YDAIDzD0/eBAAA1pTr56Z/tGLFCgtlAACA6oAzFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaj4LF9OnT1aFDB4WFhSksLEwJCQlatGiRt2oDAAA+xqNg0bhxY02ePFmbN2/Wpk2b9Kc//Uk33HCDduzY4a36AACAD6npSePrr7/ebfzpp5/W9OnTtX79erVt29ZqYQAAwPd4FCz+qLi4WPPmzVNeXp4SEhJKbVdYWKjCwkLXuNPpLO8mAQBAFefxzZvbtm1TSEiIHA6H7r33Xs2fP19t2rQptX1aWprCw8NdQ2xs7DkVDAAAqi6Pg0XLli2Vnp6uDRs2aMSIERo8eLB27txZavvk5GTl5OS4hv37959TwQAAoOry+FJIYGCg4uPjJUkXX3yxNm7cqJdeekmvv/76ads7HA45HI5zqxIAAPiEc36ORUlJids9FAAA4Pzl0RmL5ORk9evXT02aNNGRI0c0e/ZsrVixQp9//rm36gMAAD7Eo2CRlZWlO+64QwcPHlR4eLg6dOigzz//XFdddZW36gMAAD7Eo2Dx1ltveasOAABQDfCuEAAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGCNR8EiLS1NXbt2VWhoqKKiotS/f3/t3r3bW7UBAAAf41GwWLlypUaNGqX169dryZIlOnbsmPr06aO8vDxv1QcAAHxITU8aL1682G185syZioqK0ubNm9WzZ0+rhQEAAN/jUbD4bzk5OZKkyMjIUtsUFhaqsLDQNe50Os9lk0C5Hcgu0OG8osouo8wysnIruwRUYb52PEtSndqBahQRVNllwMvKHSxKSko0ZswY9ejRQ+3atSu1XVpamlJTU8u7GcCKA9kFSpyyUgXHiiu7FI8EBfirTu3Ayi4DVYwvH89LH+pFuKjmyh0sRo0ape3bt2v16tVnbJecnKyxY8e6xp1Op2JjY8u7WaBcDucVqeBYsV4ccJHio0Iqu5wy4194OB1fPJ4zsnI15v10Hc4r4piu5soVLEaPHq1PP/1Uq1atUuPGjc/Y1uFwyOFwlKs4wLb4qBC1axRe2WUAVnA8oyryKFgYY3Tfffdp/vz5WrFiheLi4rxVFwAA8EEeBYtRo0Zp9uzZ+vjjjxUaGqpDhw5JksLDwxUUxKktAADOdx49x2L69OnKycnRFVdcoejoaNfw/vvve6s+AADgQzy+FAIAAFAa3hUCAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArPE4WKxatUrXX3+9YmJi5OfnpwULFnihLAAA4Is8DhZ5eXnq2LGjXn31VW/UAwAAfFhNTxfo16+f+vXr541aAACAj/M4WHiqsLBQhYWFrnGn0+ntTQKoZBlZuZVdgkfq1A5Uo4igyi4DVdCB7AIdziuq7DI8UtnHs9eDRVpamlJTU729GQBVQJ3agQoK8NeY99MruxSPBAX4a+lDvQgXcHMgu0CJU1aq4FhxZZfikco+nr0eLJKTkzV27FjXuNPpVGxsrLc3C6ASNIoI0tKHevnUv/AysnI15v10Hc4rIljAzeG8IhUcK9aLAy5SfFRIZZdTJlXhePZ6sHA4HHI4HN7eDIAqolFEEF/QqFbio0LUrlF4ZZfhM3iOBQAAsMbjMxa5ubnKyMhwjWdmZio9PV2RkZFq0qSJ1eIAAIBv8ThYbNq0SVdeeaVr/OT9E4MHD9bMmTOtFQYAAHyPx8HiiiuukDHGG7UAAAAfxz0WAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwJpyBYtXX31VF1xwgWrVqqXu3bvr66+/tl0XAADwQR4Hi/fff19jx45VSkqKvvnmG3Xs2FF9+/ZVVlaWN+oDAAA+xONgMXXqVA0fPlxDhw5VmzZt9Nprryk4OFhvv/22N+oDAAA+pKYnjYuKirR582YlJye7ptWoUUOJiYlat27daZcpLCxUYWGhazwnJ0eS5HQ6y1PvGeUecaqkMF+5R5xyOv2sr98bTtb87Q8HlXvEfp/ghB9+zfO5YwMVwxc/g754PNPPFcOb34Mnv7eNMWduaDxw4MABI8msXbvWbfq4ceNMt27dTrtMSkqKkcTAwMDAwMBQDYb9+/efMSt4dMaiPJKTkzV27FjXeElJiX7//XfVrVtXfn720pTT6VRsbKz279+vsLAwa+utbuins6OPzo4+Khv66ezoo7KpCv1kjNGRI0cUExNzxnYeBYt69erJ399fv/zyi9v0X375RQ0bNjztMg6HQw6Hw21aRESEJ5v1SFhYGAdnGdBPZ0cfnR19VDb009nRR2VT2f0UHh5+1jYe3bwZGBioiy++WMuWLXNNKykp0bJly5SQkOB5hQAAoFrx+FLI2LFjNXjwYHXp0kXdunXTiy++qLy8PA0dOtQb9QEAAB/icbAYMGCAfv31V02cOFGHDh3SRRddpMWLF6tBgwbeqK/MHA6HUlJSTrnsAnf009nRR2dHH5UN/XR29FHZ+FI/+Zmz/m4EAACgbHhXCAAAsIZgAQAArCFYAAAAawgWAADAmmoTLKrrq9wnTZokPz8/t6FVq1au+UePHtWoUaNUt25dhYSE6Oabbz7lAWb79u3Ttddeq+DgYEVFRWncuHE6fvy4W5sVK1aoc+fOcjgcio+P18yZM0+ppar08apVq3T99dcrJiZGfn5+WrBggdt8Y4wmTpyo6OhoBQUFKTExUd9//71bm99//11JSUkKCwtTRESEhg0bptzcXLc23377rS6//HLVqlVLsbGxeu65506pZd68eWrVqpVq1aql9u3b67PPPvO4Fm85Wz8NGTLklGPr6quvdmtTnfspLS1NXbt2VWhoqKKiotS/f3/t3r3brU1V+nyVpRZvKEs/XXHFFaccS/fee69bm+rcT9OnT1eHDh1cD69KSEjQokWLPKqpWvWPJ+8Kqarmzp1rAgMDzdtvv2127Nhhhg8fbiIiIswvv/xS2aWds5SUFNO2bVtz8OBB1/Drr7+65t97770mNjbWLFu2zGzatMlccskl5tJLL3XNP378uGnXrp1JTEw0W7ZsMZ999pmpV6+eSU5OdrX54YcfTHBwsBk7dqzZuXOnmTZtmvH39zeLFy92talKffzZZ5+Zxx9/3Hz00UdGkpk/f77b/MmTJ5vw8HCzYMECs3XrVvPnP//ZxMXFmYKCAlebq6++2nTs2NGsX7/efPXVVyY+Pt4MGjTINT8nJ8c0aNDAJCUlme3bt5s5c+aYoKAg8/rrr7varFmzxvj7+5vnnnvO7Ny50zzxxBMmICDAbNu2zaNavOVs/TR48GBz9dVXux1bv//+u1ub6txPffv2NTNmzDDbt2836enp5pprrjFNmjQxubm5rjZV6fN1tlq8pSz91KtXLzN8+HC3YyknJ8c1v7r30yeffGIWLlxovvvuO7N7927z2GOPmYCAALN9+/Yy1VTd+qdaBItu3bqZUaNGucaLi4tNTEyMSUtLq8Sq7EhJSTEdO3Y87bzs7GwTEBBg5s2b55q2a9cuI8msW7fOGHPiy6VGjRrm0KFDrjbTp083YWFhprCw0BhjzCOPPGLatm3rtu4BAwaYvn37usarah//9xdmSUmJadiwoXn++edd07Kzs43D4TBz5swxxhizc+dOI8ls3LjR1WbRokXGz8/PHDhwwBhjzD/+8Q9Tp04dVx8ZY8z48eNNy5YtXeO33Xabufbaa93q6d69u7nnnnvKXEtFKS1Y3HDDDaUuc771U1ZWlpFkVq5c6aqhqny+ylJLRfnvfjLmRLB44IEHSl3mfOynOnXqmH/+85/n5XHk85dCTr7KPTEx0TXtbK9y9zXff/+9YmJi1KxZMyUlJWnfvn2SpM2bN+vYsWNu+96qVSs1adLEte/r1q1T+/bt3R5g1rdvXzmdTu3YscPV5o/rONnm5Dp8qY8zMzN16NAht1rDw8PVvXt3tz6JiIhQly5dXG0SExNVo0YNbdiwwdWmZ8+eCgwMdLXp27evdu/ercOHD7vanKnfylJLZVuxYoWioqLUsmVLjRgxQr/99ptr3vnWTzk5OZKkyMhISVXr81WWWirKf/fTSbNmzVK9evXUrl07JScnKz8/3zXvfOqn4uJizZ07V3l5eUpISDgvjyOvv93U2/7zn/+ouLj4lCd/NmjQQP/7v/9bSVXZ0717d82cOVMtW7bUwYMHlZqaqssvv1zbt2/XoUOHFBgYeMpL3Ro0aKBDhw5Jkg4dOnTavjk570xtnE6nCgoKdPjwYZ/p45P7dLpa/7i/UVFRbvNr1qypyMhItzZxcXGnrOPkvDp16pTab39cx9lqqUxXX321brrpJsXFxWnPnj167LHH1K9fP61bt07+/v7nVT+VlJRozJgx6tGjh9q1a+eqq6p8vspSS0U4XT9J0l/+8hc1bdpUMTEx+vbbbzV+/Hjt3r1bH330kav+6t5P27ZtU0JCgo4ePaqQkBDNnz9fbdq0UXp6+nl3HPl8sKju+vXr5/q7Q4cO6t69u5o2baoPPvhAQUFBlVgZfN3AgQNdf7dv314dOnTQhRdeqBUrVqh3796VWFnFGzVqlLZv367Vq1dXdilVWmn9dPfdd7v+bt++vaKjo9W7d2/t2bNHF154YUWXWSlatmyp9PR05eTk6MMPP9TgwYO1cuXKyi6rUvj8pZDyvMrdl0VERKhFixbKyMhQw4YNVVRUpOzsbLc2f9z3hg0bnrZvTs47U5uwsDAFBQX5VB+frOdMtTZs2FBZWVlu848fP67ff//dSr/9cf7ZaqlKmjVrpnr16ikjI0PS+dNPo0eP1qeffqovv/xSjRs3dk2vSp+vstTibaX10+l0795dktyOpereT4GBgYqPj9fFF1+stLQ0dezYUS+99NJ5eRz5fLA4317lnpubqz179ig6OloXX3yxAgIC3PZ99+7d2rdvn2vfExIStG3bNrcviCVLligsLExt2rRxtfnjOk62ObkOX+rjuLg4NWzY0K1Wp9OpDRs2uPVJdna2Nm/e7GqzfPlylZSUuP6DmJCQoFWrVunYsWOuNkuWLFHLli1Vp04dV5sz9VtZaqlKfvrpJ/3222+Kjo6WVP37yRij0aNHa/78+Vq+fPkpl3Sq0uerLLV4y9n66XTS09Mlye1Yqu799N9KSkpUWFh4fh5H1m4DrURz5841DofDzJw50+zcudPcfffdJiIiwu0OW1/10EMPmRUrVpjMzEyzZs0ak5iYaOrVq2eysrKMMSd+OtSkSROzfPlys2nTJpOQkGASEhJcy5/8GVOfPn1Menq6Wbx4salfv/5pf8Y0btw4s2vXLvPqq6+e9mdMVaWPjxw5YrZs2WK2bNliJJmpU6eaLVu2mL179xpjTvx0MSIiwnz88cfm22+/NTfccMNpf27aqVMns2HDBrN69WrTvHlzt59RZmdnmwYNGpjbb7/dbN++3cydO9cEBwef8jPKmjVrmhdeeMHs2rXLpKSknPZnlGerpTL66ciRI+bhhx8269atM5mZmWbp0qWmc+fOpnnz5ubo0aPnRT+NGDHChIeHmxUrVrj9TDI/P9/Vpip9vs5Wi7ecrZ8yMjLMk08+aTZt2mQyMzPNxx9/bJo1a2Z69ux53vTTo48+alauXGkyMzPNt99+ax599FHj5+dnvvjiizLVVN36p1oEC2OMmTZtmmnSpIkJDAw03bp1M+vXr6/skqwYMGCAiY6ONoGBgaZRo0ZmwIABJiMjwzW/oKDAjBw50tSpU8cEBwebG2+80Rw8eNBtHT/++KPp16+fCQoKMvXq1TMPPfSQOXbsmFubL7/80lx00UUmMDDQNGvWzMyYMeOUWqpKH3/55ZdG0inD4MGDjTEnfr44YcIE06BBA+NwOEzv3r3N7t273dbx22+/mUGDBpmQkBATFhZmhg4dao4cOeLWZuvWreayyy4zDofDNGrUyEyePPmUWj744APTokULExgYaNq2bWsWLlzoNr8stXjLmfopPz/f9OnTx9SvX98EBASYpk2bmuHDh58SFKtzP52ubyS5HftV6fNVllq84Wz9tG/fPtOzZ08TGRlpHA6HiY+PN+PGjXN7joUx1buf7rzzTtO0aVMTGBho6tevb3r37u0KFWWtqTr1D69NBwAA1vj8PRYAAKDqIFgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACw5v8A2Ba06C40X5YAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 745264 district pop vs 784489 target\n",
      "we'll also trim any HD with total islands' pop <= 15689\n",
      "working on HD 69\n",
      "Out of 18 discontig HDs 18 had discontig HDs.\n",
      "Of these, 8 won't be under 745264 after all minor discontigys were shed, while 10 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 10 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "39 15 10\n",
      "{768, 1408, 770, 771, 775, 778, 1419, 780, 782, 1939, 1432, 1915, 1319, 682, 312, 57, 570, 447, 66, 69, 838, 1090, 1992, 1610, 76, 77, 1229, 591, 1230, 1493, 1756, 349, 92, 351, 1760, 1764, 1768, 745, 1519, 1780, 1270, 2295, 251, 1788}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 10\n",
      "swell-generating HD 248 our 1 th HD we must regrow out of 10 0 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.10005 0.14886\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.09951 0.14598\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 550 time is now 1 sec\n",
      "working on HD 1193 time is now 2 sec\n",
      "working on HD 1746 time is now 4 sec\n",
      "working on HD 2324 time is now 5 sec\n",
      "out of 2108 total HDs, there were 2108 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 5 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 805433 district pop vs 767079 target\n",
      "working on enclave-y HD 1137 . We have evaluated 0 of 7507 enclavy HDs.Time is now 0\n",
      "Out of 7507 HDs with enclaves 14 had enclaves.\n",
      "Of these, 11 wouldn't be over 805433 if all enclaves filled, while 3 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 2 sec\n",
      "working on HD 1000 time is now 4 sec\n",
      "working on HD 1501 time is now 6 sec\n",
      "working on HD 2180 time is now 8 sec\n",
      "working on HD 2692 time is now 11 sec\n",
      "working on HD 3192 time is now 13 sec\n",
      "working on HD 3692 time is now 14 sec\n",
      "working on HD 4192 time is now 16 sec\n",
      "working on HD 4692 time is now 17 sec\n",
      "working on HD 5192 time is now 19 sec\n",
      "working on HD 5692 time is now 21 sec\n",
      "working on HD 6192 time is now 23 sec\n",
      "working on HD 6692 time is now 25 sec\n",
      "working on HD 7192 time is now 26 sec\n",
      "working on HD 7692 time is now 28 sec\n",
      "working on HD 8193 time is now 30 sec\n",
      "working on HD 8693 time is now 32 sec\n",
      "out of 8814 total HDs, there were 8814 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 34 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #OPTIONAL run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.35751     0     13265 0.5\n",
      "1.35329     1     6773 0.5\n",
      "1.3766     2     11529 0.5\n",
      "1.05758     3     14783 0.5\n",
      "1.60046     4     9675 0.5\n",
      "1.42158     5     10599 0.5\n",
      "1.36738     6     6608 0.5\n",
      "1.07584     7     10919 0.5\n",
      "1.2854     8     11936 0.5\n",
      "1.13959     9     13837 0.5\n",
      "0.97752     10     8533 0.5\n",
      "1.16861     11     10625 0.5\n",
      "1.34538     12     14775 0.5\n",
      "0.97937     13     11839 0.5\n",
      "1.32404     14     15642 0.5\n",
      "1.21728     15     7348 0.5\n",
      "1.23512     16     8923 0.5\n",
      "1.44998     17     6561 0.5\n",
      "1.41429     18     10829 0.5\n",
      "1.29377     19     8180 0.5\n",
      "1.04967     20     12460 0.5\n",
      "1.21756     21     15425 0.5\n",
      "1.05217     1880     14658 0.25\n",
      "1.02069     1881     147963 0.25\n",
      "1.12417     1882     24298 0.25\n",
      "0.98476     1883     45695 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.09951 0.14598\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 912\n",
      "working on avg unit-to-HDcp dist for HD 1846\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.09951 0.14598\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 10 HDs with pop < 776644 to within 3477\n",
      "working on squaring up HD 63 time is now 0\n",
      "We have addressed underpop in a total of 10 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.09951 0.14598\n",
      "amped unit avg and sd usage are 1.09967 0.14591\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "5bd43d77-e154-4642-b095-2bba760cb0d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "current unitAvgUse and unitUse SD are 1.0996720925430752 0.14590714563955454\n"
     ]
    }
   ],
   "source": [
    "#special for VA only - rerun below overpopped with revised barredSet rule\n",
    "\n",
    "HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]  #restart\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "uAvg, uSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"current unitAvgUse and unitUse SD are\",uAvg, uSD)\n",
    "barredJettisonSet = {1880, 1881, 1882, 1883}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {1880, 1881, 1882, 1883}\n",
      "1880 1.0521650332681638\n",
      "1881 1.0206923206453198\n",
      "1882 1.1241660336644215\n",
      "1883 0.9847568309107142\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)\n",
    "for u in barredJettisonSet:\n",
    "    print(u,unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "5a6cb84c-1d0f-4f02-831c-985fe4078dc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1880, 1881, 1883} {1880, 1881, 1882, 1883}\n"
     ]
    }
   ],
   "source": [
    "origBarredJettisonSet = set(list(barredJettisonSet))\n",
    "barredJettisonSet.remove(1882)  #this one is overused in VA\n",
    "print(barredJettisonSet, origBarredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 2045 overPopped HDs to within 3477\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 61 time is now 17\n",
      "working on squaring down HD 129 time is now 31\n",
      "working on squaring down HD 189 time is now 35\n",
      "working on squaring down HD 269 time is now 48\n",
      "working on squaring down HD 329 time is now 51\n",
      "working on squaring down HD 394 time is now 57\n",
      "working on squaring down HD 477 time is now 62\n",
      "working on squaring down HD 544 time is now 73\n",
      "working on squaring down HD 604 time is now 81\n",
      "working on squaring down HD 701 time is now 84\n",
      "working on squaring down HD 764 time is now 85\n",
      "working on squaring down HD 852 time is now 91\n",
      "working on squaring down HD 926 time is now 97\n",
      "working on squaring down HD 1032 time is now 106\n",
      "working on squaring down HD 1092 time is now 112\n",
      "working on squaring down HD 1189 time is now 123\n",
      "working on squaring down HD 1251 time is now 133\n",
      "working on squaring down HD 1313 time is now 137\n",
      "working on squaring down HD 1401 time is now 141\n",
      "working on squaring down HD 1488 time is now 145\n",
      "working on squaring down HD 1551 time is now 150\n",
      "working on squaring down HD 1613 time is now 152\n",
      "working on squaring down HD 1675 time is now 156\n",
      "working on squaring down HD 1735 time is now 160\n",
      "working on squaring down HD 1802 time is now 162\n",
      "working on squaring down HD 1862 time is now 164\n",
      "working on squaring down HD 1924 time is now 167\n",
      "working on squaring down HD 1994 time is now 170\n",
      "working on squaring down HD 2071 time is now 177\n",
      "working on squaring down HD 2131 time is now 186\n",
      "working on squaring down HD 2219 time is now 188\n",
      "working on squaring down HD 2307 time is now 191\n",
      "working on squaring down HD 2377 time is now 195\n",
      "working on squaring down HD 2460 time is now 199\n",
      "We have addressed overpop in a total of 2045 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #new for VA, the barred set is dynamic; we stop shedding upon underuse\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.09967 0.14591\n",
      "shed unit avg and sd usage are 1.00141 0.10791\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2465\n",
      "working on HD 686 out of 2465\n",
      "working on HD 1420 out of 2465\n",
      "working on HD 2069 out of 2465\n",
      "all done checking HD and complement contiguity for all 2465 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 10\n",
      "overpop contigFail, enclaveFail = 0 0 out of 2045\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 1880 with pop 14658.0 now has use 1.05217\n",
      "CCB unit 1881 with pop 147963.0 now has use 1.02069\n",
      "CCB unit 1882 with pop 24298.0 now has use 0.99776\n",
      "CCB unit 1883 with pop 45695.0 now has use 0.98476\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2465 1884\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 2465 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/VA2465opt3ContigGoodPop.csv ./2024state_HD_output/VA2465opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999998984\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0\n",
      "I read in 2465 HD lists of units\n",
      "orig unit avg and sd usage are 1.00141 0.10791\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "out of 2108 total HDs, there were 2108 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "1880 1.05217 14658.0\n",
      "1881 1.02069 147963.0\n",
      "1882 0.99776 24298.0\n",
      "1883 0.98476 45695.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.065\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 533 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 120\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 748 units out of 1884 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 39224\n",
      "current avg and SD of unit usage are 1.00141 0.10791 . Now trying to increase up to 120 units' underusage\n",
      "all done trying to increase usage of unit 1839 final usage = 0.78823 7 sec elapsed 33 0 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.0014 0.10576\n",
      "all done trying to increase usage of unit 1841 final usage = 0.91397 18 sec elapsed 72 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00141 0.10295\n",
      "all done trying to increase usage of unit 1834 final usage = 0.96569 38 sec elapsed 57 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00142 0.10094\n",
      "all done trying to increase usage of unit 7 final usage = 0.971 56 sec elapsed 61 0 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00142 0.09663\n",
      "all done trying to increase usage of unit 399 final usage = 0.97445 76 sec elapsed 56 0 successful, failed patches, couldn't start= 50\n",
      "current avg and SD of usage are 1.0014 0.09484\n",
      "all done trying to increase usage of unit 609 final usage = 0.97488 86 sec elapsed 79 0 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00139 0.09215\n",
      "all done trying to increase usage of unit 659 final usage = 0.97788 101 sec elapsed 53 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00138 0.09074\n",
      "all done trying to increase usage of unit 176 final usage = 0.97182 117 sec elapsed 69 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.0014 0.08914\n",
      "all done trying to increase usage of unit 203 final usage = 0.9747 143 sec elapsed 54 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00138 0.08746\n",
      "begin usage increase for unit 533 with usage 0.75432 . Sec, total UU units tried = 143 10\n",
      "all done trying to increase usage of unit 533 final usage = 0.97144 156 sec elapsed 59 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00138 0.08518\n",
      "all done trying to increase usage of unit 1822 final usage = 0.95584 166 sec elapsed 46 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.0014 0.08357\n",
      "all done trying to increase usage of unit 796 final usage = 0.97305 180 sec elapsed 54 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.0014 0.08236\n",
      "all done trying to increase usage of unit 603 final usage = 0.97039 196 sec elapsed 58 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.08093\n",
      "all done trying to increase usage of unit 661 final usage = 0.97064 215 sec elapsed 41 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00137 0.0801\n",
      "all done trying to increase usage of unit 1828 final usage = 0.97012 243 sec elapsed 47 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00134 0.07915\n",
      "all done trying to increase usage of unit 508 final usage = 0.97545 257 sec elapsed 48 0 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00134 0.07828\n",
      "all done trying to increase usage of unit 255 final usage = 0.97208 259 sec elapsed 27 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00135 0.07623\n",
      "all done trying to increase usage of unit 1831 final usage = 0.97506 280 sec elapsed 42 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00136 0.07549\n",
      "all done trying to increase usage of unit 1378 final usage = 0.97314 284 sec elapsed 27 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00138 0.0742\n",
      "begin usage increase for unit 1736 with usage 0.80787 . Sec, total UU units tried = 285 20\n",
      "all done trying to increase usage of unit 1736 final usage = 0.83883 286 sec elapsed 11 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00138 0.07394\n",
      "all done trying to increase usage of unit 208 final usage = 0.97448 298 sec elapsed 41 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00139 0.07262\n",
      "all done trying to increase usage of unit 529 final usage = 0.97012 310 sec elapsed 42 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00139 0.07127\n",
      "all done trying to increase usage of unit 536 final usage = 0.97065 322 sec elapsed 51 0 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.00137 0.06979\n",
      "all done trying to increase usage of unit 410 final usage = 0.97117 338 sec elapsed 33 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00136 0.06902\n",
      "all done trying to increase usage of unit 1254 final usage = 0.97152 351 sec elapsed 28 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00137 0.06792\n",
      "all done trying to increase usage of unit 1730 final usage = 0.86292 355 sec elapsed 12 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00137 0.06755\n",
      "all done trying to increase usage of unit 388 final usage = 0.97166 377 sec elapsed 44 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00135 0.06675\n",
      "all done trying to increase usage of unit 1257 final usage = 0.97103 389 sec elapsed 27 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00135 0.06616\n",
      "all done trying to increase usage of unit 1375 final usage = 0.97 392 sec elapsed 25 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00133 0.06489\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00141 1.00133 and their SDs are 0.10791 0.06489\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2465\n",
      "working on HD 500 out of 2465\n",
      "working on HD 1000 out of 2465\n",
      "working on HD 1500 out of 2465\n",
      "working on HD 2000 out of 2465\n",
      "all done checking HD and complement contiguity for all 2465 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"underPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.08\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 647 units out of 1884 with usage above 1.02\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 39224\n",
      "current avg and SD of unit usage are 1.00133 0.06489 . Now trying to reduce up to 647 units' overusage\n",
      "starting to reduce usage for unit 1430 with usage 1.16505 . Total units tried = 1\n",
      "try to drop unit 1430 from 12 th HD.  usage down to 1.1057158091808248\n",
      "try to drop unit 1430 from 24 th HD.  usage down to 1.045642316763915\n",
      "all done trying to reduce usage of unit 1430 final usage = 1.01868 0 sec elapsed 29 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.0013 0.06308\n",
      "starting to reduce usage for unit 1573 with usage 1.14312 . Total units tried = 2\n",
      "try to drop unit 1573 from 12 th HD.  usage down to 1.061444958253765\n",
      "all done trying to reduce usage of unit 1573 final usage = 1.01063 1 sec elapsed 19 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00127 0.06134\n",
      "starting to reduce usage for unit 1533 with usage 1.12648 . Total units tried = 3\n",
      "try to drop unit 1533 from 15 th HD.  usage down to 1.0926945957567058\n",
      "try to drop unit 1533 from 30 th HD.  usage down to 1.0702532387002475\n",
      "try to drop unit 1533 from 45 th HD.  usage down to 1.0404491279739136\n",
      "all done trying to reduce usage of unit 1533 final usage = 1.0137 2 sec elapsed 17 15 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00126 0.06018\n",
      "starting to reduce usage for unit 1570 with usage 1.13581 . Total units tried = 4\n",
      "try to drop unit 1570 from 12 th HD.  usage down to 1.1138943804318446\n",
      "try to drop unit 1570 from 24 th HD.  usage down to 1.0940343211907406\n",
      "try to drop unit 1570 from 36 th HD.  usage down to 1.0428647128430917\n",
      "all done trying to reduce usage of unit 1570 final usage = 1.01962 4 sec elapsed 20 16 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00123 0.05915\n",
      "starting to reduce usage for unit 1689 with usage 1.12127 . Total units tried = 5\n",
      "try to drop unit 1689 from 12 th HD.  usage down to 1.0710295401173013\n",
      "all done trying to reduce usage of unit 1689 final usage = 1.01991 4 sec elapsed 19 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00121 0.05805\n",
      "starting to reduce usage for unit 458 with usage 1.10354 . Total units tried = 6\n",
      "try to drop unit 458 from 12 th HD.  usage down to 1.0395402561998743\n",
      "all done trying to reduce usage of unit 458 final usage = 1.01687 5 sec elapsed 14 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00118 0.05735\n",
      "starting to reduce usage for unit 44 with usage 1.10461 . Total units tried = 7\n",
      "try to drop unit 44 from 11 th HD.  usage down to 1.0456601627734885\n",
      "all done trying to reduce usage of unit 44 final usage = 1.01052 6 sec elapsed 15 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00116 0.05621\n",
      "starting to reduce usage for unit 152 with usage 1.09876 . Total units tried = 8\n",
      "try to drop unit 152 from 11 th HD.  usage down to 1.0529732025594873\n",
      "all done trying to reduce usage of unit 152 final usage = 1.01449 7 sec elapsed 15 1 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00116 0.05561\n",
      "starting to reduce usage for unit 1444 with usage 1.09794 . Total units tried = 9\n",
      "try to drop unit 1444 from 10 th HD.  usage down to 1.0583384778705445\n",
      "all done trying to reduce usage of unit 1444 final usage = 1.01837 8 sec elapsed 16 1 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00114 0.05494\n",
      "starting to reduce usage for unit 542 with usage 1.09389 . Total units tried = 10\n",
      "try to drop unit 542 from 18 th HD.  usage down to 1.0297963349650323\n",
      "all done trying to reduce usage of unit 542 final usage = 1.0133 9 sec elapsed 15 4 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00112 0.05412\n",
      "starting to reduce usage for unit 1410 with usage 1.09225 . Total units tried = 11\n",
      "try to drop unit 1410 from 13 th HD.  usage down to 1.0627273215141193\n",
      "all done trying to reduce usage of unit 1410 final usage = 1.01468 11 sec elapsed 11 14 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00112 0.05339\n",
      "starting to reduce usage for unit 559 with usage 1.09008 . Total units tried = 12\n",
      "try to drop unit 559 from 11 th HD.  usage down to 1.0604519552916862\n",
      "try to drop unit 559 from 22 th HD.  usage down to 1.0230734882103705\n",
      "all done trying to reduce usage of unit 559 final usage = 1.01625 14 sec elapsed 16 3 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00111 0.05279\n",
      "starting to reduce usage for unit 1418 with usage 1.08914 . Total units tried = 13\n",
      "try to drop unit 1418 from 11 th HD.  usage down to 1.0496933609402925\n",
      "try to drop unit 1418 from 22 th HD.  usage down to 1.0428774599927848\n",
      "try to drop unit 1418 from 33 th HD.  usage down to 1.0296369955937257\n",
      "all done trying to reduce usage of unit 1418 final usage = 1.01651 17 sec elapsed 13 27 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00109 0.0522\n",
      "starting to reduce usage for unit 1338 with usage 1.08103 . Total units tried = 14\n",
      "try to drop unit 1338 from 9 th HD.  usage down to 1.0448328727576008\n",
      "all done trying to reduce usage of unit 1338 final usage = 1.01426 18 sec elapsed 11 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00107 0.05166\n",
      "starting to reduce usage for unit 1481 with usage 1.08164 . Total units tried = 15\n",
      "try to drop unit 1481 from 11 th HD.  usage down to 1.0286210477622098\n",
      "all done trying to reduce usage of unit 1481 final usage = 1.01175 18 sec elapsed 13 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00107 0.05108\n",
      "starting to reduce usage for unit 454 with usage 1.08076 . Total units tried = 16\n",
      "try to drop unit 454 from 10 th HD.  usage down to 1.0518998925543\n",
      "try to drop unit 454 from 20 th HD.  usage down to 1.0461624004718741\n",
      "all done trying to reduce usage of unit 454 final usage = 1.01682 22 sec elapsed 19 7 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00107 0.05042\n",
      "starting to reduce usage for unit 1491 with usage 1.07726 . Total units tried = 17\n",
      "try to drop unit 1491 from 13 th HD.  usage down to 1.039411509987883\n",
      "all done trying to reduce usage of unit 1491 final usage = 1.01874 23 sec elapsed 10 7 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00105 0.04987\n",
      "starting to reduce usage for unit 1336 with usage 1.0759 . Total units tried = 18\n",
      "try to drop unit 1336 from 14 th HD.  usage down to 1.0759040501646544\n",
      "try to drop unit 1336 from 28 th HD.  usage down to 1.0550395155267616\n",
      "all done trying to reduce usage of unit 1336 final usage = 1.01832 24 sec elapsed 9 24 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00104 0.04931\n",
      "starting to reduce usage for unit 1366 with usage 1.07733 . Total units tried = 19\n",
      "try to drop unit 1366 from 10 th HD.  usage down to 1.0535009345573336\n",
      "try to drop unit 1366 from 20 th HD.  usage down to 1.0346211311285798\n",
      "all done trying to reduce usage of unit 1366 final usage = 1.01819 25 sec elapsed 8 17 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00102 0.04887\n",
      "starting to reduce usage for unit 1337 with usage 1.07578 . Total units tried = 20\n",
      "try to drop unit 1337 from 12 th HD.  usage down to 1.0433427309570311\n",
      "all done trying to reduce usage of unit 1337 final usage = 1.0167 26 sec elapsed 10 8 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.001 0.04844\n",
      "starting to reduce usage for unit 1401 with usage 1.07383 . Total units tried = 21\n",
      "try to drop unit 1401 from 9 th HD.  usage down to 1.0738275394776553\n",
      "try to drop unit 1401 from 18 th HD.  usage down to 1.0431349524168523\n",
      "try to drop unit 1401 from 27 th HD.  usage down to 1.0371374184804347\n",
      "all done trying to reduce usage of unit 1401 final usage = 1.01376 27 sec elapsed 12 15 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00099 0.04789\n",
      "starting to reduce usage for unit 424 with usage 1.0737 . Total units tried = 22\n",
      "try to drop unit 424 from 15 th HD.  usage down to 1.0737013426955306\n",
      "try to drop unit 424 from 30 th HD.  usage down to 1.04784629894795\n",
      "all done trying to reduce usage of unit 424 final usage = 1.01901 30 sec elapsed 11 16 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00098 0.04734\n",
      "starting to reduce usage for unit 1569 with usage 1.07294 . Total units tried = 23\n",
      "try to drop unit 1569 from 13 th HD.  usage down to 1.0729352389982723\n",
      "try to drop unit 1569 from 26 th HD.  usage down to 1.0729352389982723\n",
      "try to drop unit 1569 from 39 th HD.  usage down to 1.060376747108454\n",
      "try to drop unit 1569 from 52 th HD.  usage down to 1.0538349098796123\n",
      "try to drop unit 1569 from 65 th HD.  usage down to 1.0304451648850659\n",
      "all done trying to reduce usage of unit 1569 final usage = 1.02551 32 sec elapsed 8 45 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00097 0.04708\n",
      "starting to reduce usage for unit 1416 with usage 1.0735 . Total units tried = 24\n",
      "try to drop unit 1416 from 11 th HD.  usage down to 1.06610276675614\n",
      "try to drop unit 1416 from 22 th HD.  usage down to 1.0477889367743072\n",
      "try to drop unit 1416 from 33 th HD.  usage down to 1.0386912960295223\n",
      "try to drop unit 1416 from 44 th HD.  usage down to 1.0386912960295223\n",
      "all done trying to reduce usage of unit 1416 final usage = 1.01871 34 sec elapsed 10 33 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00095 0.04667\n",
      "starting to reduce usage for unit 196 with usage 1.07059 . Total units tried = 25\n",
      "try to drop unit 196 from 12 th HD.  usage down to 1.0490840471843499\n",
      "try to drop unit 196 from 24 th HD.  usage down to 1.0304757580443236\n",
      "all done trying to reduce usage of unit 196 final usage = 1.01473 38 sec elapsed 20 2 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00093 0.04618\n",
      "starting to reduce usage for unit 1093 with usage 1.0703 . Total units tried = 26\n",
      "try to drop unit 1093 from 15 th HD.  usage down to 1.063043450826842\n",
      "try to drop unit 1093 from 30 th HD.  usage down to 1.0570561146101884\n",
      "try to drop unit 1093 from 45 th HD.  usage down to 1.0344222755931762\n",
      "all done trying to reduce usage of unit 1093 final usage = 1.01741 41 sec elapsed 8 35 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00093 0.04563\n",
      "starting to reduce usage for unit 419 with usage 1.06892 . Total units tried = 27\n",
      "try to drop unit 419 from 19 th HD.  usage down to 1.0348607775430025\n",
      "all done trying to reduce usage of unit 419 final usage = 1.01646 42 sec elapsed 9 10 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00092 0.04529\n",
      "starting to reduce usage for unit 1365 with usage 1.07041 . Total units tried = 28\n",
      "try to drop unit 1365 from 10 th HD.  usage down to 1.0704138527865332\n",
      "try to drop unit 1365 from 20 th HD.  usage down to 1.0704138527865332\n",
      "try to drop unit 1365 from 30 th HD.  usage down to 1.0704138527865332\n",
      "try to drop unit 1365 from 40 th HD.  usage down to 1.0604162632725411\n",
      "try to drop unit 1365 from 50 th HD.  usage down to 1.0553887874287087\n",
      "all done trying to reduce usage of unit 1365 final usage = 1.05539 44 sec elapsed 2 38 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00092 0.04519\n",
      "starting to reduce usage for unit 498 with usage 1.06647 . Total units tried = 29\n",
      "try to drop unit 498 from 14 th HD.  usage down to 1.0416996233599565\n",
      "all done trying to reduce usage of unit 498 final usage = 1.01888 46 sec elapsed 13 11 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00091 0.04467\n",
      "starting to reduce usage for unit 1529 with usage 1.06631 . Total units tried = 30\n",
      "try to drop unit 1529 from 13 th HD.  usage down to 1.066305446436467\n",
      "try to drop unit 1529 from 26 th HD.  usage down to 1.05573423518573\n",
      "try to drop unit 1529 from 39 th HD.  usage down to 1.045090365181671\n",
      "try to drop unit 1529 from 52 th HD.  usage down to 1.0339748506385098\n",
      "try to drop unit 1529 from 65 th HD.  usage down to 1.025763136798253\n",
      "all done trying to reduce usage of unit 1529 final usage = 1.02576 48 sec elapsed 4 56 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00091 0.04442\n",
      "starting to reduce usage for unit 1478 with usage 1.06589 . Total units tried = 31\n",
      "try to drop unit 1478 from 9 th HD.  usage down to 1.0419048524702677\n",
      "try to drop unit 1478 from 18 th HD.  usage down to 1.036834036317437\n",
      "try to drop unit 1478 from 27 th HD.  usage down to 1.0277529668672691\n",
      "try to drop unit 1478 from 36 th HD.  usage down to 1.0277529668672691\n",
      "try to drop unit 1478 from 45 th HD.  usage down to 1.0277529668672691\n",
      "all done trying to reduce usage of unit 1478 final usage = 1.02775 50 sec elapsed 8 34 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00091 0.04388\n",
      "starting to reduce usage for unit 1217 with usage 1.07097 . Total units tried = 32\n",
      "try to drop unit 1217 from 9 th HD.  usage down to 1.0650536763353846\n",
      "try to drop unit 1217 from 18 th HD.  usage down to 1.0369819032540248\n",
      "all done trying to reduce usage of unit 1217 final usage = 1.01977 51 sec elapsed 9 6 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.0009 0.04301\n",
      "starting to reduce usage for unit 1024 with usage 1.06525 . Total units tried = 33\n",
      "try to drop unit 1024 from 14 th HD.  usage down to 1.0585743001400962\n",
      "try to drop unit 1024 from 28 th HD.  usage down to 1.0522708346107486\n",
      "try to drop unit 1024 from 42 th HD.  usage down to 1.036306304319632\n",
      "all done trying to reduce usage of unit 1024 final usage = 1.01922 53 sec elapsed 8 29 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00089 0.04249\n",
      "starting to reduce usage for unit 1482 with usage 1.06447 . Total units tried = 34\n",
      "try to drop unit 1482 from 11 th HD.  usage down to 1.06447113159385\n",
      "try to drop unit 1482 from 22 th HD.  usage down to 1.06447113159385\n",
      "try to drop unit 1482 from 33 th HD.  usage down to 1.06447113159385\n",
      "try to drop unit 1482 from 44 th HD.  usage down to 1.06447113159385\n",
      "try to drop unit 1482 from 55 th HD.  usage down to 1.06447113159385\n",
      "all done trying to reduce usage of unit 1482 final usage = 1.06447 53 sec elapsed 0 17 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00089 0.04249\n",
      "starting to reduce usage for unit 146 with usage 1.0633 . Total units tried = 35\n",
      "try to drop unit 146 from 12 th HD.  usage down to 1.063295844390959\n",
      "try to drop unit 146 from 24 th HD.  usage down to 1.055179734173494\n",
      "try to drop unit 146 from 36 th HD.  usage down to 1.0533823860650253\n",
      "try to drop unit 146 from 48 th HD.  usage down to 1.0442618004507715\n",
      "try to drop unit 146 from 60 th HD.  usage down to 1.0308938645546597\n",
      "all done trying to reduce usage of unit 146 final usage = 1.01686 56 sec elapsed 18 18 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00088 0.04203\n",
      "starting to reduce usage for unit 1523 with usage 1.06203 . Total units tried = 36\n",
      "try to drop unit 1523 from 10 th HD.  usage down to 1.0620326018551942\n",
      "try to drop unit 1523 from 20 th HD.  usage down to 1.0620326018551942\n",
      "try to drop unit 1523 from 30 th HD.  usage down to 1.0620326018551942\n",
      "try to drop unit 1523 from 40 th HD.  usage down to 1.0620326018551942\n",
      "try to drop unit 1523 from 50 th HD.  usage down to 1.0620326018551942\n",
      "all done trying to reduce usage of unit 1523 final usage = 1.06203 57 sec elapsed 0 41 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00088 0.04203\n",
      "starting to reduce usage for unit 583 with usage 1.06146 . Total units tried = 37\n",
      "try to drop unit 583 from 9 th HD.  usage down to 1.0348327338136505\n",
      "try to drop unit 583 from 18 th HD.  usage down to 1.0218778055679931\n",
      "all done trying to reduce usage of unit 583 final usage = 1.01941 58 sec elapsed 12 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00086 0.0417\n",
      "starting to reduce usage for unit 1567 with usage 1.06053 . Total units tried = 38\n",
      "try to drop unit 1567 from 10 th HD.  usage down to 1.0605335370498241\n",
      "try to drop unit 1567 from 20 th HD.  usage down to 1.0605335370498241\n",
      "try to drop unit 1567 from 30 th HD.  usage down to 1.0605335370498241\n",
      "try to drop unit 1567 from 40 th HD.  usage down to 1.0605335370498241\n",
      "try to drop unit 1567 from 50 th HD.  usage down to 1.0605335370498241\n",
      "all done trying to reduce usage of unit 1567 final usage = 1.06053 60 sec elapsed 0 51 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00086 0.0417\n",
      "starting to reduce usage for unit 1521 with usage 1.05953 . Total units tried = 39\n",
      "try to drop unit 1521 from 11 th HD.  usage down to 1.0595316110829844\n",
      "try to drop unit 1521 from 22 th HD.  usage down to 1.0595316110829844\n",
      "try to drop unit 1521 from 33 th HD.  usage down to 1.0595316110829844\n",
      "try to drop unit 1521 from 44 th HD.  usage down to 1.0595316110829844\n",
      "try to drop unit 1521 from 55 th HD.  usage down to 1.0595316110829844\n",
      "all done trying to reduce usage of unit 1521 final usage = 1.05953 62 sec elapsed 0 45 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00086 0.0417\n",
      "starting to reduce usage for unit 438 with usage 1.05834 . Total units tried = 40\n",
      "try to drop unit 438 from 11 th HD.  usage down to 1.0338269837018945\n",
      "all done trying to reduce usage of unit 438 final usage = 1.01882 67 sec elapsed 8 11 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00086 0.04142\n",
      "starting to reduce usage for unit 1566 with usage 1.05743 . Total units tried = 41\n",
      "try to drop unit 1566 from 11 th HD.  usage down to 1.0574270566665958\n",
      "try to drop unit 1566 from 22 th HD.  usage down to 1.0574270566665958\n",
      "try to drop unit 1566 from 33 th HD.  usage down to 1.0574270566665958\n",
      "try to drop unit 1566 from 44 th HD.  usage down to 1.0574270566665958\n",
      "try to drop unit 1566 from 55 th HD.  usage down to 1.0574270566665958\n",
      "all done trying to reduce usage of unit 1566 final usage = 1.05743 69 sec elapsed 0 53 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00086 0.04142\n",
      "starting to reduce usage for unit 1574 with usage 1.05701 . Total units tried = 42\n",
      "try to drop unit 1574 from 11 th HD.  usage down to 1.0570140490161477\n",
      "try to drop unit 1574 from 22 th HD.  usage down to 1.0570140490161477\n",
      "try to drop unit 1574 from 33 th HD.  usage down to 1.0570140490161477\n",
      "try to drop unit 1574 from 44 th HD.  usage down to 1.0570140490161477\n",
      "try to drop unit 1574 from 55 th HD.  usage down to 1.0570140490161477\n",
      "all done trying to reduce usage of unit 1574 final usage = 1.05701 71 sec elapsed 0 55 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00086 0.04142\n",
      "starting to reduce usage for unit 1454 with usage 1.05655 . Total units tried = 43\n",
      "try to drop unit 1454 from 11 th HD.  usage down to 1.0565513274818314\n",
      "try to drop unit 1454 from 22 th HD.  usage down to 1.0565513274818314\n",
      "try to drop unit 1454 from 33 th HD.  usage down to 1.051038185234221\n",
      "try to drop unit 1454 from 44 th HD.  usage down to 1.0474447637322526\n",
      "try to drop unit 1454 from 55 th HD.  usage down to 1.0474447637322526\n",
      "all done trying to reduce usage of unit 1454 final usage = 1.04744 74 sec elapsed 2 51 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00086 0.04131\n",
      "starting to reduce usage for unit 1551 with usage 1.05554 . Total units tried = 44\n",
      "try to drop unit 1551 from 9 th HD.  usage down to 1.055535379650317\n",
      "try to drop unit 1551 from 18 th HD.  usage down to 1.055535379650317\n",
      "try to drop unit 1551 from 27 th HD.  usage down to 1.0458386228693761\n",
      "try to drop unit 1551 from 36 th HD.  usage down to 1.0329436062273338\n",
      "try to drop unit 1551 from 45 th HD.  usage down to 1.0262653744966441\n",
      "all done trying to reduce usage of unit 1551 final usage = 1.02627 75 sec elapsed 5 33 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00085 0.04095\n",
      "starting to reduce usage for unit 1480 with usage 1.05541 . Total units tried = 45\n",
      "try to drop unit 1480 from 11 th HD.  usage down to 1.0554066334382937\n",
      "try to drop unit 1480 from 22 th HD.  usage down to 1.0554066334382937\n",
      "try to drop unit 1480 from 33 th HD.  usage down to 1.0554066334382937\n",
      "try to drop unit 1480 from 44 th HD.  usage down to 1.0554066334382937\n",
      "try to drop unit 1480 from 55 th HD.  usage down to 1.0554066334382937\n",
      "all done trying to reduce usage of unit 1480 final usage = 1.05541 77 sec elapsed 0 44 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00085 0.04095\n",
      "starting to reduce usage for unit 1536 with usage 1.05521 . Total units tried = 46\n",
      "try to drop unit 1536 from 11 th HD.  usage down to 1.055205228472956\n",
      "try to drop unit 1536 from 22 th HD.  usage down to 1.055205228472956\n",
      "try to drop unit 1536 from 33 th HD.  usage down to 1.055205228472956\n",
      "try to drop unit 1536 from 44 th HD.  usage down to 1.055205228472956\n",
      "try to drop unit 1536 from 55 th HD.  usage down to 1.055205228472956\n",
      "all done trying to reduce usage of unit 1536 final usage = 1.05521 78 sec elapsed 0 52 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00085 0.04095\n",
      "starting to reduce usage for unit 1432 with usage 1.05619 . Total units tried = 47\n",
      "try to drop unit 1432 from 10 th HD.  usage down to 1.0561880337152412\n",
      "try to drop unit 1432 from 20 th HD.  usage down to 1.0561880337152412\n",
      "try to drop unit 1432 from 30 th HD.  usage down to 1.0561880337152412\n",
      "try to drop unit 1432 from 40 th HD.  usage down to 1.0561880337152412\n",
      "try to drop unit 1432 from 50 th HD.  usage down to 1.0561880337152412\n",
      "all done trying to reduce usage of unit 1432 final usage = 1.05619 80 sec elapsed 0 49 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00085 0.04095\n",
      "starting to reduce usage for unit 1384 with usage 1.05401 . Total units tried = 48\n",
      "try to drop unit 1384 from 9 th HD.  usage down to 1.0540057216856684\n",
      "try to drop unit 1384 from 18 th HD.  usage down to 1.0540057216856684\n",
      "try to drop unit 1384 from 27 th HD.  usage down to 1.0540057216856684\n",
      "try to drop unit 1384 from 36 th HD.  usage down to 1.0540057216856684\n",
      "try to drop unit 1384 from 45 th HD.  usage down to 1.0436996511488044\n",
      "all done trying to reduce usage of unit 1384 final usage = 1.0437 84 sec elapsed 1 38 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00085 0.04085\n",
      "starting to reduce usage for unit 1453 with usage 1.05362 . Total units tried = 49\n",
      "try to drop unit 1453 from 12 th HD.  usage down to 1.0536182083346237\n",
      "try to drop unit 1453 from 24 th HD.  usage down to 1.0536182083346237\n",
      "try to drop unit 1453 from 36 th HD.  usage down to 1.0536182083346237\n",
      "try to drop unit 1453 from 48 th HD.  usage down to 1.0536182083346237\n",
      "try to drop unit 1453 from 60 th HD.  usage down to 1.0536182083346237\n",
      "all done trying to reduce usage of unit 1453 final usage = 1.05362 85 sec elapsed 0 51 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00085 0.04085\n",
      "starting to reduce usage for unit 1431 with usage 1.0551 . Total units tried = 50\n",
      "try to drop unit 1431 from 9 th HD.  usage down to 1.0551045259902647\n",
      "try to drop unit 1431 from 18 th HD.  usage down to 1.0551045259902647\n",
      "try to drop unit 1431 from 27 th HD.  usage down to 1.0551045259902647\n",
      "try to drop unit 1431 from 36 th HD.  usage down to 1.0512395901995693\n",
      "try to drop unit 1431 from 45 th HD.  usage down to 1.0461687740467387\n",
      "all done trying to reduce usage of unit 1431 final usage = 1.04617 87 sec elapsed 2 40 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00085 0.04077\n",
      "starting to reduce usage for unit 1522 with usage 1.05298 . Total units tried = 51\n",
      "try to drop unit 1522 from 10 th HD.  usage down to 1.0529834002792853\n",
      "try to drop unit 1522 from 20 th HD.  usage down to 1.0529834002792853\n",
      "try to drop unit 1522 from 30 th HD.  usage down to 1.0529834002792853\n",
      "try to drop unit 1522 from 40 th HD.  usage down to 1.0529834002792853\n",
      "try to drop unit 1522 from 50 th HD.  usage down to 1.0529834002792853\n",
      "all done trying to reduce usage of unit 1522 final usage = 1.04881 89 sec elapsed 1 52 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00084 0.04073\n",
      "starting to reduce usage for unit 462 with usage 1.06156 . Total units tried = 52\n",
      "try to drop unit 462 from 10 th HD.  usage down to 1.0615596826010805\n",
      "try to drop unit 462 from 20 th HD.  usage down to 1.0540210182652716\n",
      "try to drop unit 462 from 30 th HD.  usage down to 1.0320156137287384\n",
      "all done trying to reduce usage of unit 462 final usage = 1.01654 91 sec elapsed 7 23 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00083 0.04037\n",
      "starting to reduce usage for unit 1485 with usage 1.05192 . Total units tried = 53\n",
      "try to drop unit 1485 from 10 th HD.  usage down to 1.0519228374237835\n",
      "try to drop unit 1485 from 20 th HD.  usage down to 1.0456856570729018\n",
      "try to drop unit 1485 from 30 th HD.  usage down to 1.0456856570729018\n",
      "try to drop unit 1485 from 40 th HD.  usage down to 1.0456856570729018\n",
      "try to drop unit 1485 from 50 th HD.  usage down to 1.0456856570729018\n",
      "all done trying to reduce usage of unit 1485 final usage = 1.04569 92 sec elapsed 1 36 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00083 0.04031\n",
      "starting to reduce usage for unit 1372 with usage 1.05151 . Total units tried = 54\n",
      "try to drop unit 1372 from 11 th HD.  usage down to 1.0515111044883052\n",
      "try to drop unit 1372 from 22 th HD.  usage down to 1.0515111044883052\n",
      "try to drop unit 1372 from 33 th HD.  usage down to 1.0515111044883052\n",
      "try to drop unit 1372 from 44 th HD.  usage down to 1.0515111044883052\n",
      "try to drop unit 1372 from 55 th HD.  usage down to 1.0515111044883052\n",
      "all done trying to reduce usage of unit 1372 final usage = 1.05151 94 sec elapsed 0 50 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00083 0.04031\n",
      "starting to reduce usage for unit 828 with usage 1.05134 . Total units tried = 55\n",
      "try to drop unit 828 from 11 th HD.  usage down to 1.0492357382658866\n",
      "try to drop unit 828 from 22 th HD.  usage down to 1.0465448149630654\n",
      "try to drop unit 828 from 33 th HD.  usage down to 1.0346109334088152\n",
      "all done trying to reduce usage of unit 828 final usage = 1.01994 95 sec elapsed 7 5 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00082 0.03994\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for MA, above is second run-through after overuse, then underuse pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00141 1.00082 and their SDs are 0.10791 0.03994\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2465\n",
      "working on HD 300 out of 2465\n",
      "working on HD 600 out of 2465\n",
      "working on HD 900 out of 2465\n",
      "working on HD 1200 out of 2465\n",
      "working on HD 1500 out of 2465\n",
      "working on HD 1800 out of 2465\n",
      "working on HD 2100 out of 2465\n",
      "all done checking HD and complement contiguity for all 2465 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confirming vtd 0 is not in the map but missing from the parent vtd list\n",
      "confirming vtd 2000 is not in the map but missing from the parent vtd list\n"
     ]
    }
   ],
   "source": [
    "for v in range(nVTDs):\n",
    "    if v %2000 == 0:\n",
    "        print(\"confirming vtd\",v,\"is not in the map but missing from the parent vtd list\")\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2465 2465 2465 2465 2465 2465\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 2465\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "10 1 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()\n",
    "plotThis = False\n",
    "for t in popHDlist:  #seems like for TN, we lost a vtd in converting from unit-based to vtd-based\n",
    "    if abs(HDvPop[t] - HDvtdbasedPop[t]) > 10:\n",
    "        plotThis = True\n",
    "        print(\"t, HDunit-based pop - pop from vtd-based HDs\",t,r3(HDvPop[t] - HDvtdbasedPop[t]) )\n",
    "        plotPoly(tractCP[t].buffer(0.1))\n",
    "if plotThis:\n",
    "    plotPoly(MAP)\n",
    "    print(\"Here are the HD centers with significant pop difference between unit-based and vtd-based HD lists\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for VA\n",
      "In year/election 2020 Dem and GOP total votes were 2412148 1961628 for a stateGOP of 0.4485\n",
      "There are a total of 2465  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 1981471 1769442 for a stateGOP of 0.47174\n",
      "There are a total of 2465  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for VA\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv VA2465patchedWithCutsVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 2466 drawn districts.  This state has 11 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of Congr'l districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2412148 1961628 -450520\n",
      "ensemble : 2418554 1957938 -460615\n",
      "the true and ensemble state GOP leans are 0.4485 0.4473762239980683\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 2466 2465 11\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
